Every frontier AI model, one chat

GPT-4o

OpenAI's flagship multimodal model — text, vision, and code.

Chat with GPT-4o →

GPT-4o mini

OpenAI's fastest, cheapest frontier model — great default.

Chat with GPT-4o mini →

OpenAI: gpt-oss-120b (free)

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose pro

Chat with OpenAI: gpt-oss-120b (free) →

OpenAI: gpt-oss-20b (free)

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B act

Chat with OpenAI: gpt-oss-20b (free) →

OpenAI: GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and mainta

Chat with OpenAI: GPT Audio →

OpenAI: GPT Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. In

Chat with OpenAI: GPT Audio Mini →

OpenAI: GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.

Chat with OpenAI: GPT-3.5 Turbo →

OpenAI: GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.

Chat with OpenAI: GPT-3.5 Turbo (older v0613) →

OpenAI: GPT-3.5 Turbo 16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Tr

Chat with OpenAI: GPT-3.5 Turbo 16k →

OpenAI: GPT-3.5 Turbo Instruct

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

Chat with OpenAI: GPT-3.5 Turbo Instruct →

OpenAI: GPT-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due t

Chat with OpenAI: GPT-4 →

OpenAI: GPT-4 (older v0314)

GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.

Chat with OpenAI: GPT-4 (older v0314) →

OpenAI: GPT-4 Turbo

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling.

Chat with OpenAI: GPT-4 Turbo →

OpenAI: GPT-4 Turbo (older v1106)

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling.

Chat with OpenAI: GPT-4 Turbo (older v1106) →

OpenAI: GPT-4 Turbo Preview

The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023

Chat with OpenAI: GPT-4 Turbo Preview →

OpenAI: GPT-4.1

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It support

Chat with OpenAI: GPT-4.1 →

OpenAI: GPT-4.1 Mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context w

Chat with OpenAI: GPT-4.1 Mini →

OpenAI: GPT-4.1 Nano

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size wit

Chat with OpenAI: GPT-4.1 Nano →

OpenAI: GPT-4o (2024-05-13)

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turb

Chat with OpenAI: GPT-4o (2024-05-13) →

OpenAI: GPT-4o (2024-08-06)

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [h

Chat with OpenAI: GPT-4o (2024-08-06) →

OpenAI: GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readabili

Chat with OpenAI: GPT-4o (2024-11-20) →

OpenAI: GPT-4o Audio

The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add dep

Chat with OpenAI: GPT-4o Audio →

OpenAI: GPT-4o Search Preview

GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

Chat with OpenAI: GPT-4o Search Preview →

OpenAI: GPT-4o-mini (2024-07-18)

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced

Chat with OpenAI: GPT-4o-mini (2024-07-18) →

OpenAI: GPT-4o-mini Search Preview

GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

Chat with OpenAI: GPT-4o-mini Search Preview →

OpenAI: GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that requi

Chat with OpenAI: GPT-5 →

OpenAI: GPT-5 Chat

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

Chat with OpenAI: GPT-5 Chat →

OpenAI: GPT-5 Codex

GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions

Chat with OpenAI: GPT-5 Codex →

OpenAI: GPT-5 Image

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvement

Chat with OpenAI: GPT-5 Image →

OpenAI: GPT-5 Image Mini

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for e

Chat with OpenAI: GPT-5 Image Mini →

OpenAI: GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefi

Chat with OpenAI: GPT-5 Mini →

OpenAI: GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While

Chat with OpenAI: GPT-5 Nano →

OpenAI: GPT-5 Pro

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that r

Chat with OpenAI: GPT-5 Pro →

OpenAI: GPT-5.1

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural

Chat with OpenAI: GPT-5.1 →

OpenAI: GPT-5.1 Chat

GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses

Chat with OpenAI: GPT-5.1 Chat →

OpenAI: GPT-5.1-Codex

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessi

Chat with OpenAI: GPT-5.1-Codex →

OpenAI: GPT-5.1-Codex-Max

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version

Chat with OpenAI: GPT-5.1-Codex-Max →

OpenAI: GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

Chat with OpenAI: GPT-5.1-Codex-Mini →

OpenAI: GPT-5.2

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reas

Chat with OpenAI: GPT-5.2 →

OpenAI: GPT-5.2 Chat

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It use

Chat with OpenAI: GPT-5.2 Chat →

OpenAI: GPT-5.2 Pro

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for comp

Chat with OpenAI: GPT-5.2 Pro →

OpenAI: GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development s

Chat with OpenAI: GPT-5.2-Codex →

OpenAI: GPT-5.3 Chat

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accu

Chat with OpenAI: GPT-5.3 Chat →

OpenAI: GPT-5.3-Codex

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasonin

Chat with OpenAI: GPT-5.3-Codex →

OpenAI: GPT-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K outpu

Chat with OpenAI: GPT-5.4 →

OpenAI: GPT-5.4 Mini

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image input

Chat with OpenAI: GPT-5.4 Mini →

OpenAI: GPT-5.4 Nano

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and

Chat with OpenAI: GPT-5.4 Nano →

OpenAI: GPT-5.4 Pro

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It

Chat with OpenAI: GPT-5.4 Pro →

OpenAI: gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose pro

Chat with OpenAI: gpt-oss-120b →

OpenAI: gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B act

Chat with OpenAI: gpt-oss-20b →

OpenAI: gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lowe

Chat with OpenAI: gpt-oss-safeguard-20b →

OpenAI: o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale

Chat with OpenAI: o1 →

OpenAI: o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to

Chat with OpenAI: o1-pro →

OpenAI: o3

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technica

Chat with OpenAI: o3 →

OpenAI: o3 Deep Research

o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks.

Chat with OpenAI: o3 Deep Research →

OpenAI: o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model sup

Chat with OpenAI: o3 Mini →

OpenAI: o3 Mini High

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for

Chat with OpenAI: o3 Mini High →

OpenAI: o3 Pro

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to

Chat with OpenAI: o3 Pro →

OpenAI: o4 Mini

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabi

Chat with OpenAI: o4 Mini →

OpenAI: o4 Mini Deep Research

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks.

Chat with OpenAI: o4 Mini Deep Research →

OpenAI: o4 Mini High

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-seri

Chat with OpenAI: o4 Mini High →

Anthropic · 15

Claude 3.5 Sonnet

Anthropic's best balance of quality and cost — a coder favourite.

Chat with Claude 3.5 Sonnet →

Claude 3 Haiku

Anthropic's fastest, cheapest model — near-instant replies.

Chat with Claude 3 Haiku →

Anthropic: Claude 3.5 Haiku

Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick

Chat with Anthropic: Claude 3.5 Haiku →

Anthropic: Claude 3.7 Sonnet

Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approa

Chat with Anthropic: Claude 3.7 Sonnet →

Anthropic: Claude 3.7 Sonnet (thinking)

Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approa

Chat with Anthropic: Claude 3.7 Sonnet (thinking) →

Anthropic: Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude m

Chat with Anthropic: Claude Haiku 4.5 →

Anthropic: Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workf

Chat with Anthropic: Claude Opus 4 →

Anthropic: Claude Opus 4.1

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on

Chat with Anthropic: Claude Opus 4.1 →

Anthropic: Claude Opus 4.5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers

Chat with Anthropic: Claude Opus 4.5 →

Anthropic: Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than

Chat with Anthropic: Claude Opus 4.6 →

Anthropic: Claude Opus 4.6 (Fast)

Fast-mode variant of [Opus 4.6](/anthropic/claude-opus-4.6) - identical capabilities with higher output speed at premium 6x pricing.

Chat with Anthropic: Claude Opus 4.6 (Fast) →

Anthropic: Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.

Chat with Anthropic: Claude Opus 4.7 →

Anthropic: Claude Sonnet 4

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and

Chat with Anthropic: Claude Sonnet 4 →

Anthropic: Claude Sonnet 4.5

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performa

Chat with Anthropic: Claude Sonnet 4.5 →

Anthropic: Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative de

Chat with Anthropic: Claude Sonnet 4.6 →

Google · 32

Gemini 2.0 Flash

Google's fast multimodal model with a 1M-token context window.

Chat with Gemini 2.0 Flash →

Google: Gemma 3 12B (free)

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 12B (free) →

Google: Gemma 3 27B (free)

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 27B (free) →

Google: Gemma 3 4B (free)

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 4B (free) →

Google: Gemma 3n 2B (free)

Gemma 3n E2B IT is a multimodal, instruction-tuned model developed by Google DeepMind, designed to operate efficiently at an effective parameter size of 2B whil

Chat with Google: Gemma 3n 2B (free) →

Google: Gemma 3n 4B (free)

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—inc

Chat with Google: Gemma 3n 4B (free) →

Google: Gemma 4 26B A4B (free)

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token dur

Chat with Google: Gemma 4 26B A4B (free) →

Google: Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, c

Chat with Google: Gemma 4 31B (free) →

Google: Lyria 3 Clip Preview

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, yo

Chat with Google: Lyria 3 Clip Preview →

Google: Lyria 3 Pro Preview

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can g

Chat with Google: Lyria 3 Pro Preview →

Google: Gemini 2.0 Flash

Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on

Chat with Google: Gemini 2.0 Flash →

Google: Gemini 2.0 Flash Lite

Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quali

Chat with Google: Gemini 2.0 Flash Lite →

Google: Gemini 2.5 Flash

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It inclu

Chat with Google: Gemini 2.5 Flash →

Google: Gemini 2.5 Flash Lite

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved through

Chat with Google: Gemini 2.5 Flash Lite →

Google: Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved through

Chat with Google: Gemini 2.5 Flash Lite Preview 09-2025 →

Google: Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilit

Chat with Google: Gemini 2.5 Pro →

Google: Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilit

Chat with Google: Gemini 2.5 Pro Preview 05-06 →

Google: Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilit

Chat with Google: Gemini 2.5 Pro Preview 06-05 →

Google: Gemini 3 Flash Preview

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro l

Chat with Google: Gemini 3 Flash Preview →

Google: Gemini 3.1 Flash Lite Preview

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and

Chat with Google: Gemini 3.1 Flash Lite Preview →

Google: Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more effici

Chat with Google: Gemini 3.1 Pro Preview →

Google: Gemini 3.1 Pro Preview Custom Tools

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more

Chat with Google: Gemini 3.1 Pro Preview Custom Tools →

Google: Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-s

Chat with Google: Gemma 2 27B →

Google: Gemma 3 12B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 12B →

Google: Gemma 3 27B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 27B →

Google: Gemma 3 4B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 language

Chat with Google: Gemma 3 4B →

Google: Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—inc

Chat with Google: Gemma 3n 4B →

Google: Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token dur

Chat with Google: Gemma 4 26B A4B →

Google: Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, c

Chat with Google: Gemma 4 31B →

Google: Nano Banana (Gemini 2.5 Flash Image)

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is c

Chat with Google: Nano Banana (Gemini 2.5 Flash Image) →

Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual qual

Chat with Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) →

Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly impr

Chat with Google: Nano Banana Pro (Gemini 3 Pro Image Preview) →

Meta · 14

Llama 3.3 70B

Meta's best open-weight model — runs on community hosts.

Chat with Llama 3.3 70B →

Meta: Llama 3.2 3B Instruct (free)

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reas

Chat with Meta: Llama 3.2 3B Instruct (free) →

Meta: Llama 3.3 70B Instruct (free)

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instr

Chat with Meta: Llama 3.3 70B Instruct (free) →

Llama Guard 3 8B

Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content

Chat with Llama Guard 3 8B →

Meta: Llama 3 70B Instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue useca

Chat with Meta: Llama 3 70B Instruct →

Meta: Llama 3 8B Instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecas

Chat with Meta: Llama 3 8B Instruct →

Meta: Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usec

Chat with Meta: Llama 3.1 70B Instruct →

Meta: Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated s

Chat with Meta: Llama 3.1 8B Instruct →

Meta: Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as im

Chat with Meta: Llama 3.2 11B Vision Instruct →

Meta: Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual

Chat with Meta: Llama 3.2 1B Instruct →

Meta: Llama 3.2 3B Instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reas

Chat with Meta: Llama 3.2 3B Instruct →

Meta: Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts a

Chat with Meta: Llama 4 Maverick →

Meta: Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It sup

Chat with Meta: Llama 4 Scout →

Meta: Llama Guard 4 12B

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used

Chat with Meta: Llama Guard 4 12B →

xAI · 11

Grok 2

xAI's conversational model — blunt, fast, current.

Chat with Grok 2 →

xAI: Grok 3

Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possess

Chat with xAI: Grok 3 →

xAI: Grok 3 Beta

Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possess

Chat with xAI: Grok 3 Beta →

xAI: Grok 3 Mini

A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking trac

Chat with xAI: Grok 3 Mini →

xAI: Grok 3 Mini Beta

Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s id

Chat with xAI: Grok 3 Mini Beta →

xAI: Grok 4

Grok 4 is xAI's latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Note t

Chat with xAI: Grok 4 →

xAI: Grok 4 Fast

Grok 4 Fast is xAI's latest multimodal model with SOTA cost-efficiency and a 2M token context window. It comes in two flavors: non-reasoning and reasoning. Read

Chat with xAI: Grok 4 Fast →

xAI: Grok 4.1 Fast

Grok 4.1 Fast is xAI's best agentic tool calling model that shines in real-world use cases like customer support and deep research. 2M context window. Reasoning

Chat with xAI: Grok 4.1 Fast →

xAI: Grok 4.20

Grok 4.20 is xAI's newest flagship model with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the mar

Chat with xAI: Grok 4.20 →

xAI: Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep res

Chat with xAI: Grok 4.20 Multi-Agent →

xAI: Grok Code Fast 1

Grok Code Fast 1 is a speedy and economical reasoning model that excels at agentic coding. With reasoning traces visible in the response, developers can steer G

Chat with xAI: Grok Code Fast 1 →

DeepSeek · 11

DeepSeek V3

The open-weight model punching way above its price tag.

Chat with DeepSeek V3 →

DeepSeek: DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [Deep

Chat with DeepSeek: DeepSeek V3 0324 →

DeepSeek: DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extend

Chat with DeepSeek: DeepSeek V3.1 →

DeepSeek: DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues re

Chat with DeepSeek: DeepSeek V3.1 Terminus →

DeepSeek: DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduce

Chat with DeepSeek: DeepSeek V3.2 →

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces Deep

Chat with DeepSeek: DeepSeek V3.2 Exp →

DeepSeek: DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attentio

Chat with DeepSeek: DeepSeek V3.2 Speciale →

DeepSeek: R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with

Chat with DeepSeek: R1 →

DeepSeek: R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reaso

Chat with DeepSeek: R1 0528 →

DeepSeek: R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [Dee

Chat with DeepSeek: R1 Distill Llama 70B →

DeepSeek: R1 Distill Qwen 32B

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek

Chat with DeepSeek: R1 Distill Qwen 32B →

Mistral AI · 25

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, J

Chat with Mistral Large →

Mistral Large 2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSO

Chat with Mistral Large 2407 →

Mistral Large 2411

Mistral Large 2 2411 is an update of [Mistral Large 2](/mistralai/mistral-large) released together with [Pixtral Large 2411](/mistralai/pixtral-large-2411) It p

Chat with Mistral Large 2411 →

Mistral: Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middl

Chat with Mistral: Codestral 2508 →

Mistral: Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256

Chat with Mistral: Devstral 2 2512 →

Mistral: Devstral Medium

Devstral Medium is a high-performance code generation and agentic reasoning model developed jointly by Mistral AI and All Hands AI. Positioned as a step up from

Chat with Mistral: Devstral Medium →

Mistral: Devstral Small 1.1

Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Fi

Chat with Mistral: Devstral Small 1.1 →

Mistral: Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counter

Chat with Mistral: Ministral 3 14B 2512 →

Mistral: Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

Chat with Mistral: Ministral 3 3B 2512 →

Mistral: Ministral 3 8B 2512

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

Chat with Mistral: Ministral 3 8B 2512 →

Mistral: Mistral 7B Instruct v0.1

A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.

Chat with Mistral: Mistral 7B Instruct v0.1 →

Mistral: Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and re

Chat with Mistral: Mistral Large 3 2512 →

Mistral: Mistral Medium 3

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost

Chat with Mistral: Mistral Medium 3 →

Mistral: Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level cap

Chat with Mistral: Mistral Medium 3.1 →

Mistral: Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, Ger

Chat with Mistral: Mistral Nemo →

Mistral: Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it featur

Chat with Mistral: Mistral Small 3 →

Mistral: Mistral Small 3.1 24B

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provi

Chat with Mistral: Mistral Small 3.1 24B →

Mistral: Mistral Small 3.2 24B

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved funct

Chat with Mistral: Mistral Small 3.2 24B →

Mistral: Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It com

Chat with Mistral: Mistral Small 4 →

Mistral: Mistral Small Creative

Mistral Small Creative is an experimental small model designed for creative writing, narrative generation, roleplay and character-driven dialogue, general-purpo

Chat with Mistral: Mistral Small Creative →

Mistral: Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparall

Chat with Mistral: Mixtral 8x22B Instruct →

Mistral: Mixtral 8x7B Instruct

Mixtral 8x7B Instruct is a pretrained generative Sparse Mixture of Experts, by Mistral AI, for chat and instruction use. Incorporates 8 experts (feed-forward ne

Chat with Mistral: Mixtral 8x7B Instruct →

Mistral: Pixtral Large 2411

Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of [Mistral Large 2](/mistralai/mistral-large-2411). The model is able to understa

Chat with Mistral: Pixtral Large 2411 →

Mistral: Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses

Chat with Mistral: Saba →

Mistral: Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It e

Chat with Mistral: Voxtral Small 24B 2507 →

Alibaba Qwen · 47

Qwen: Qwen3 Coder 480B A35B (free)

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as

Chat with Qwen: Qwen3 Coder 480B A35B (free) →

Qwen: Qwen3 Next 80B A3B Instruct (free)

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targe

Chat with Qwen: Qwen3 Next 80B A3B Instruct (free) →

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has gre

Chat with Qwen2.5 72B Instruct →

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upo

Chat with Qwen2.5 Coder 32B Instruct →

Qwen: Qwen Plus 0728

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Chat with Qwen: Qwen Plus 0728 →

Qwen: Qwen Plus 0728 (thinking)

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Chat with Qwen: Qwen Plus 0728 (thinking) →

Qwen: Qwen VL Max

Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks

Chat with Qwen: Qwen VL Max →

Qwen: Qwen VL Plus

Qwen's Enhanced Large Visual Language Model. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high

Chat with Qwen: Qwen VL Plus →

Qwen: Qwen-Max

Qwen-Max, based on Qwen2.5, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks. It's a large-scale MoE

Chat with Qwen: Qwen-Max →

Qwen: Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

Chat with Qwen: Qwen-Plus →

Qwen: Qwen-Turbo

Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.

Chat with Qwen: Qwen-Turbo →

Qwen: Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has grea

Chat with Qwen: Qwen2.5 7B Instruct →

Qwen: Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, g

Chat with Qwen: Qwen2.5 VL 72B Instruct →

Qwen: Qwen3 14B

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamle

Chat with Qwen: Qwen3 14B →

Qwen: Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching

Chat with Qwen: Qwen3 235B A22B →

Qwen: Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active param

Chat with Qwen: Qwen3 235B A22B Instruct 2507 →

Qwen: Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B

Chat with Qwen: Qwen3 235B A22B Thinking 2507 →

Qwen: Qwen3 30B A3B

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, mult

Chat with Qwen: Qwen3 30B A3B →

Qwen: Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thin

Chat with Qwen: Qwen3 30B A3B Instruct 2507 →

Qwen: Qwen3 30B A3B Thinking 2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model

Chat with Qwen: Qwen3 30B A3B Thinking 2507 →

Qwen: Qwen3 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seaml

Chat with Qwen: Qwen3 32B →

Qwen: Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seam

Chat with Qwen: Qwen3 8B →

Qwen: Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code genera

Chat with Qwen: Qwen3 Coder 30B A3B Instruct →

Qwen: Qwen3 Coder 480B A35B

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as

Chat with Qwen: Qwen3 Coder 480B A35B →

Qwen: Qwen3 Coder Flash

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autono

Chat with Qwen: Qwen3 Coder Flash →

Qwen: Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total

Chat with Qwen: Qwen3 Coder Next →

Qwen: Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous progr

Chat with Qwen: Qwen3 Coder Plus →

Qwen: Qwen3 Max

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail

Chat with Qwen: Qwen3 Max →

Qwen: Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By sig

Chat with Qwen: Qwen3 Max Thinking →

Qwen: Qwen3 Next 80B A3B Instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targe

Chat with Qwen: Qwen3 Next 80B A3B Instruct →

Qwen: Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard

Chat with Qwen: Qwen3 Next 80B A3B Thinking →

Qwen: Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instru

Chat with Qwen: Qwen3 VL 235B A22B Instruct →

Qwen: Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is o

Chat with Qwen: Qwen3 VL 235B A22B Thinking →

Qwen: Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimi

Chat with Qwen: Qwen3 VL 30B A3B Instruct →

Qwen: Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhanc

Chat with Qwen: Qwen3 VL 30B A3B Thinking →

Qwen: Qwen3 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video.

Chat with Qwen: Qwen3 VL 32B Instruct →

Qwen: Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, an

Chat with Qwen: Qwen3 VL 8B Instruct →

Qwen: Qwen3 VL 8B Thinking

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex s

Chat with Qwen: Qwen3 VL 8B Thinking →

Qwen: Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-o

Chat with Qwen: Qwen3.5 397B A17B →

Qwen: Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-expe

Chat with Qwen: Qwen3.5 Plus 2026-02-15 →

Qwen: Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-exper

Chat with Qwen: Qwen3.5-122B-A10B →

Qwen: Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and

Chat with Qwen: Qwen3.5-27B →

Qwen: Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixtur

Chat with Qwen: Qwen3.5-35B-A3B →

Qwen: Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-p

Chat with Qwen: Qwen3.5-9B →

Qwen: Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts

Chat with Qwen: Qwen3.5-Flash →

Qwen: Qwen3.6 Plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and h

Chat with Qwen: Qwen3.6 Plus →

Qwen: QwQ 32B

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve

Chat with Qwen: QwQ 32B →

Ai21 · 1

Ai21

AI21: Jamba Large 1.7

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybr

Chat with AI21: Jamba Large 1.7 →

Aion Labs · 4

AionLabs: Aion-1.0

Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with

Chat with AionLabs: Aion-1.0 →

AionLabs: Aion-1.0-Mini

Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, cod

Chat with AionLabs: Aion-1.0-Mini →

AionLabs: Aion-2.0

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and confl

Chat with AionLabs: Aion-2.0 →

AionLabs: Aion-RP 1.0 (8B)

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, whe

Chat with AionLabs: Aion-RP 1.0 (8B) →

Alfredpros · 1

Alfredpros

AlfredPros: CodeLLaMa 7B Instruct Solidity

A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library.

Chat with AlfredPros: CodeLLaMa 7B Instruct Solidity →

Alibaba · 1

Alibaba

Tongyi DeepResearch 30B A3B

Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optim

Chat with Tongyi DeepResearch 30B A3B →

Allenai · 2

Allenai

AllenAI: Olmo 3 32B Think

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenario

Chat with AllenAI: Olmo 3 32B Think →

Allenai

AllenAI: Olmo 3.1 32B Instruct

Olmo 3.1 32B Instruct is a large-scale, 32-billion-parameter instruction-tuned language model engineered for high-performance conversational AI, multi-turn dial

Chat with AllenAI: Olmo 3.1 32B Instruct →

Alpindale · 1

Alpindale

Goliath 120B

A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface

Chat with Goliath 120B →

Amazon · 5

Amazon: Nova 2 Lite

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrate

Chat with Amazon: Nova 2 Lite →

Amazon: Nova Lite 1.0

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. A

Chat with Amazon: Nova Lite 1.0 →

Amazon: Nova Micro 1.0

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context len

Chat with Amazon: Nova Micro 1.0 →

Amazon: Nova Premier 1.0

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Chat with Amazon: Nova Premier 1.0 →

Amazon: Nova Pro 1.0

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of D

Chat with Amazon: Nova Pro 1.0 →

Anthracite Org · 1

Anthracite Org

Magnum v4 72B

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet

Chat with Magnum v4 72B →

Arcee Ai · 7

Arcee AI: Trinity Large Preview (free)

Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters

Chat with Arcee AI: Trinity Large Preview (free) →

Arcee AI: Coder Large

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fi

Chat with Arcee AI: Coder Large →

Arcee AI: Maestro Reasoning

Maestro Reasoning is Arcee's flagship analysis model: a 32 B‑parameter derivative of Qwen 2.5‑32 B tuned with DPO and chain‑of‑thought RL for step‑by‑step logic

Chat with Arcee AI: Maestro Reasoning →

Arcee AI: Spotlight

Spotlight is a 7‑billion‑parameter vision‑language model derived from Qwen 2.5‑VL and fine‑tuned by Arcee AI for tight image‑text grounding tasks. It offers a 3

Chat with Arcee AI: Spotlight →

Arcee AI: Trinity Large Thinking

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and re

Chat with Arcee AI: Trinity Large Thinking →

Arcee AI: Trinity Mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient rea

Chat with Arcee AI: Trinity Mini →

Arcee AI: Virtuoso Large

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike ma

Chat with Arcee AI: Virtuoso Large →

Baidu · 5

Baidu: ERNIE 4.5 21B A3B

A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understa

Chat with Baidu: ERNIE 4.5 21B A3B →

Baidu: ERNIE 4.5 21B A3B Thinking

ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performance in logical puzzles,

Chat with Baidu: ERNIE 4.5 21B A3B Thinking →

Baidu: ERNIE 4.5 300B A47B

ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters

Chat with Baidu: ERNIE 4.5 300B A47B →

Baidu: ERNIE 4.5 VL 28B A3B

A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, delivering exceptional text and vision understan

Chat with Baidu: ERNIE 4.5 VL 28B A3B →

Baidu: ERNIE 4.5 VL 424B A47B

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token.

Chat with Baidu: ERNIE 4.5 VL 424B A47B →

Bytedance · 1

Bytedance

ByteDance: UI-TARS 7B

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. B

Chat with ByteDance: UI-TARS 7B →

Bytedance Seed · 4

ByteDance Seed: Seed 1.6

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context

Chat with ByteDance Seed: Seed 1.6 →

ByteDance Seed: Seed 1.6 Flash

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context wind

Chat with ByteDance Seed: Seed 1.6 Flash →

ByteDance Seed: Seed-2.0-Lite

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency

Chat with ByteDance Seed: Seed-2.0-Lite →

ByteDance Seed: Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It deliver

Chat with ByteDance Seed: Seed-2.0-Mini →

Cognitivecomputations · 1

Cognitivecomputations

Venice: Uncensored (free)

Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Veni

Chat with Venice: Uncensored (free) →

Cohere · 4

Cohere: Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding us

Chat with Cohere: Command A →

Cohere: Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and

Chat with Cohere: Command R (08-2024) →

Cohere: Command R+ (08-2024)

command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to

Chat with Cohere: Command R+ (08-2024) →

Cohere: Command R7B (12-2024)

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiri

Chat with Cohere: Command R7B (12-2024) →

Deepcogito · 1

Deepcogito

Deep Cogito: Cogito v2.1 671B

Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using

Chat with Deep Cogito: Cogito v2.1 671B →

Essentialai · 1

Essentialai

EssentialAI: Rnj 1 Instruct

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific r

Chat with EssentialAI: Rnj 1 Instruct →

Gryphe · 1

Gryphe

MythoMax 13B

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

Chat with MythoMax 13B →

Ibm Granite · 1

Ibm Granite

IBM: Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tune

Chat with IBM: Granite 4.0 Micro →

Inception · 1

Inception

Inception: Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and re

Chat with Inception: Mercury 2 →

Inflection · 2

Inflection

Inflection: Inflection 3 Pi

Inflection 3 Pi powers Inflection's [Pi](https://pi.ai) chatbot, including backstory, emotional intelligence, productivity, and safety. It has access to recent

Chat with Inflection: Inflection 3 Pi →

Inflection

Inflection: Inflection 3 Productivity

Inflection 3 Productivity is optimized for following instructions. It is better for tasks requiring JSON output or precise adherence to provided guidelines. It

Chat with Inflection: Inflection 3 Productivity →

Kwaipilot · 1

Kwaipilot

Kwaipilot: KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integra

Chat with Kwaipilot: KAT-Coder-Pro V2 →

Liquid · 3

Liquid

LiquidAI: LFM2.5-1.2B-Instruct (free)

LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter foo

Chat with LiquidAI: LFM2.5-1.2B-Instruct (free) →

Liquid

LiquidAI: LFM2.5-1.2B-Thinking (free)

LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devi

Chat with LiquidAI: LFM2.5-1.2B-Thinking (free) →

Liquid

LiquidAI: LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Ex

Chat with LiquidAI: LFM2-24B-A2B →

Mancer · 1

Mancer

Mancer: Weaver (alpha)

An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.

Chat with Mancer: Weaver (alpha) →

Microsoft · 2

Microsoft

Microsoft: Phi 4

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or w

Chat with Microsoft: Phi 4 →

Microsoft

WizardLM-2 8x22B

WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it con

Chat with WizardLM-2 8x22B →

Minimax · 8

MiniMax: MiniMax M2.5 (free)

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments,

Chat with MiniMax: MiniMax M2.5 (free) →

MiniMax: MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (

Chat with MiniMax: MiniMax M1 →

MiniMax: MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 b

Chat with MiniMax: MiniMax M2 →

MiniMax: MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed t

Chat with MiniMax: MiniMax M2-her →

MiniMax: MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 b

Chat with MiniMax: MiniMax M2.1 →

MiniMax: MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments,

Chat with MiniMax: MiniMax M2.5 →

MiniMax: MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participat

Chat with MiniMax: MiniMax M2.7 →

MiniMax: MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion paramet

Chat with MiniMax: MiniMax-01 →

Moonshotai · 4

MoonshotAI: Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active

Chat with MoonshotAI: Kimi K2 0711 →

MoonshotAI: Kimi K2 0905

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI

Chat with MoonshotAI: Kimi K2 0905 →

MoonshotAI: Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillio

Chat with MoonshotAI: Kimi K2 Thinking →

MoonshotAI: Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi

Chat with MoonshotAI: Kimi K2.5 →

Morph · 2

Morph

Morph: Morph V3 Fast

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the foll

Chat with Morph: Morph V3 Fast →

Morph

Morph: Morph V3 Large

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to

Chat with Morph: Morph V3 Large →

Nex Agi · 1

Nex Agi

Nex AGI: DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world producti

Chat with Nex AGI: DeepSeek V3.1 Nex N1 →

Nous Research · 6

Nous: Hermes 3 405B Instruct (free)

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi

Chat with Nous: Hermes 3 405B Instruct (free) →

Nous: Hermes 3 405B Instruct

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi

Chat with Nous: Hermes 3 405B Instruct →

Nous: Hermes 3 70B Instruct

Hermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic ca

Chat with Nous: Hermes 3 70B Instruct →

Nous: Hermes 4 405B

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can

Chat with Nous: Hermes 4 405B →

Nous: Hermes 4 70B

Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowin

Chat with Nous: Hermes 4 70B →

NousResearch: Hermes 2 Pro - Llama-3 8B

Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly

Chat with NousResearch: Hermes 2 Pro - Llama-3 8B →

NVIDIA · 10

NVIDIA: Nemotron 3 Nano 30B A3B (free)

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems

Chat with NVIDIA: Nemotron 3 Nano 30B A3B (free) →

NVIDIA: Nemotron 3 Super (free)

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-a

Chat with NVIDIA: Nemotron 3 Super (free) →

NVIDIA: Nemotron Nano 12B 2 VL (free)

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a

Chat with NVIDIA: Nemotron Nano 12B 2 VL (free) →

NVIDIA: Nemotron Nano 9B V2 (free)

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning

Chat with NVIDIA: Nemotron Nano 9B V2 (free) →

NVIDIA: Llama 3.1 Nemotron 70B Instruct

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging [Llama 3.1 70B](/models/meta-llama/llama-3.

Chat with NVIDIA: Llama 3.1 Nemotron 70B Instruct →

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s

Chat with NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 →

NVIDIA: Nemotron 3 Nano 30B A3B

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems

Chat with NVIDIA: Nemotron 3 Nano 30B A3B →

NVIDIA: Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-a

Chat with NVIDIA: Nemotron 3 Super →

NVIDIA: Nemotron Nano 12B 2 VL

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a

Chat with NVIDIA: Nemotron Nano 12B 2 VL →

NVIDIA: Nemotron Nano 9B V2

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning

Chat with NVIDIA: Nemotron Nano 9B V2 →

Openrouter · 4

Elephant

Elephant Alpha is a 100B-parameter text model focused on intelligence efficiency, delivering strong performance while minimizing token usage. It supports a 256K

Chat with Elephant →

Free Models Router

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smart

Chat with Free Models Router →

Auto Router

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was

Chat with Auto Router →

Body Builder (beta)

Transform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder w

Chat with Body Builder (beta) →

Perplexity · 5

Perplexity: Sonar

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking t

Chat with Perplexity: Sonar →

Perplexity: Sonar Deep Research

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, rea

Chat with Perplexity: Sonar Deep Research →

Perplexity: Sonar Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-re

Chat with Perplexity: Sonar Pro →

Perplexity: Sonar Pro Search

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reas

Chat with Perplexity: Sonar Pro Search →

Perplexity: Sonar Reasoning Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-re

Chat with Perplexity: Sonar Reasoning Pro →

Prime Intellect · 1

Prime Intellect

Prime Intellect: INTELLECT-3

INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-sc

Chat with Prime Intellect: INTELLECT-3 →

Rekaai · 2

Rekaai

Reka Edge

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized

Chat with Reka Edge →

Rekaai

Reka Flash 3

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks

Chat with Reka Flash 3 →

Relace · 2

Relace

Relace: Relace Apply 3

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and

Chat with Relace: Relace Apply 3 →

Relace

Relace: Relace Search

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to R

Chat with Relace: Relace Search →

Sao10K · 5

Sao10K: Llama 3 8B Lunaris

Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with impr

Chat with Sao10K: Llama 3 8B Lunaris →

Sao10k: Llama 3 Euryale 70B v2.1

Euryale 70B v2.1 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). - Better prompt adherence. - Better anatomy / spatial awarenes

Chat with Sao10k: Llama 3 Euryale 70B v2.1 →

Sao10K: Llama 3.1 70B Hanami x1

This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).

Chat with Sao10K: Llama 3.1 70B Hanami x1 →

Sao10K: Llama 3.1 Euryale 70B v2.2

Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao1

Chat with Sao10K: Llama 3.1 Euryale 70B v2.2 →

Sao10K: Llama 3.3 Euryale 70B

Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3

Chat with Sao10K: Llama 3.3 Euryale 70B →

Stepfun · 1

Stepfun

StepFun: Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11

Chat with StepFun: Step 3.5 Flash →

Switchpoint · 1

Switchpoint

Switchpoint Router

Switchpoint AI's router instantly analyzes your request and directs it to the optimal AI from an ever-evolving library. As the world of LLMs advances, our route

Chat with Switchpoint Router →

Tencent · 1

Tencent

Tencent: Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoni

Chat with Tencent: Hunyuan A13B Instruct →

Thedrummer · 4

TheDrummer: Cydonia 24B V4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

Chat with TheDrummer: Cydonia 24B V4.1 →

TheDrummer: Rocinante 12B

Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices -

Chat with TheDrummer: Rocinante 12B →

TheDrummer: Skyfall 36B V2

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent stor

Chat with TheDrummer: Skyfall 36B V2 →

TheDrummer: UnslopNemo 12B

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

Chat with TheDrummer: UnslopNemo 12B →

Tngtech · 1

Tngtech

TNG: DeepSeek R1T2 Chimera

DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from

Chat with TNG: DeepSeek R1T2 Chimera →

Undi95 · 1

Undi95

ReMM SLERP 13B

A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge

Chat with ReMM SLERP 13B →

Upstage · 1

Upstage

Upstage: Solar Pro 3

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers ex

Chat with Upstage: Solar Pro 3 →

Writer · 1

Writer

Writer: Palmyra X5

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and effic

Chat with Writer: Palmyra X5 →

Xiaomi · 3

Xiaomi

Xiaomi: MiMo-V2-Flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parame

Chat with Xiaomi: MiMo-V2-Flash →

Xiaomi

Xiaomi: MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal

Chat with Xiaomi: MiMo-V2-Omni →

Xiaomi

Xiaomi: MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is hig

Chat with Xiaomi: MiMo-V2-Pro →

Z Ai · 13

Z.ai: GLM 4.5 Air (free)

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixtu

Chat with Z.ai: GLM 4.5 Air (free) →

Z.ai: GLM 4 32B

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, onlin

Chat with Z.ai: GLM 4 32B →

Z.ai: GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a

Chat with Z.ai: GLM 4.5 →

Z.ai: GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixtu

Chat with Z.ai: GLM 4.5 Air →

Z.ai: GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B

Chat with Z.ai: GLM 4.5V →

Z.ai: GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, en

Chat with Z.ai: GLM 4.6 →

Z.ai: GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It su

Chat with Z.ai: GLM 4.6V →

Z.ai: GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution.

Chat with Z.ai: GLM 4.7 →

Z.ai: GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, str

Chat with Z.ai: GLM 4.7 Flash →

Z.ai: GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it de

Chat with Z.ai: GLM 5 →

Z.ai: GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply op

Chat with Z.ai: GLM 5 Turbo →

Z.ai: GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minu

Chat with Z.ai: GLM 5.1 →