Chat with 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

No signup required — try it as a guest. 30,000 free tokens every day once you sign up.

Provider
Ai21
Model slug
ai21/jamba-large-1.7
Typical cost
Around 5,400–13,500 tokens per typical message. 15M Pro tokens buy roughly 1,111…
Availability
On Faceb.ai · chat + API

About 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 hybrid SSM-Transformer architecture with a 256K context...

What it's good at

1

Very large context window — 256,000 tokens (paste entire codebases or long PDFs).

2

Hosted by Ai21 — you can access it here alongside GPT-4o, Claude, Gemini and 100+ more on one plan.

3

Switch to any other model mid-conversation from the picker.

Pricing on Faceb.ai

Around 5,400–13,500 tokens per typical message. 15M Pro tokens buy roughly 1,111–2,777 messages.

Use Jamba Large 1.7 from the API

OpenAI-compatible. Same Faceb.ai tokens cover chat and API. Drop-in replacement for the OpenAI SDK.

curl https://api.faceb.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-faceb-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ai21/jamba-large-1.7",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'
from openai import OpenAI

client = OpenAI(
    base_url="https://api.faceb.ai/v1",
    api_key="sk-faceb-YOUR_KEY",
)

stream = client.chat.completions.create(
    model="ai21/jamba-large-1.7",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.faceb.ai/v1",
  apiKey: "sk-faceb-YOUR_KEY",
});

const stream = await client.chat.completions.create({
  model: "ai21/jamba-large-1.7",
  messages: [{ role: "user", content: "Hello!" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

Also works for image generation (image-output model slugs return image_url content parts) and web search (add "web_search": true to the payload). Same endpoint, same wallet.

Full API docs → · Get an API key →

Frequently asked — Jamba Large 1.7

What is Jamba Large 1.7?

Jamba Large 1.7 is a chat/completion model served by Ai21 and accessed through Faceb.ai. Try it without signing up — guest users get a small pool of session tokens to experiment.

Is Jamba Large 1.7 free on Faceb.ai?

You get 30,000 tokens free every day — usually enough for a handful of messages a day on this model. Need more? Pro is $14.99/month for 15M tokens, or top-ups from $5.

What's Jamba Large 1.7's context window?

256,000 tokens. Paste your source material in, no need to truncate.

Can I call Jamba Large 1.7 from the API?

Yes. Any API key from /account/api/ works with model slug `ai21/jamba-large-1.7`. The OpenAI SDK works with base_url=https://api.faceb.ai/v1.

How does Jamba Large 1.7 compare to GPT-4o or Claude?

Depends on the task. Faceb.ai lets you switch models per message — benchmark side-by-side by asking both the same prompt, which is more reliable than abstract comparisons.

How much does Jamba Large 1.7 cost per message here?

Around 5,400–13,500 tokens per typical message. 15M Pro tokens buy roughly 1,111–2,777 messages.

Does Faceb.ai train on my Jamba Large 1.7 prompts?

No. We contractually request that upstream providers not train on content routed through us. Your chat history lives only on your account.

Is Jamba Large 1.7 good for coding?

It depends on the model size and training mix. For serious code work the developer favourites are Claude 3.5 Sonnet and DeepSeek V3; for quick edits, most capable models work fine.

Can I use Jamba Large 1.7 on the API with the OpenAI SDK?

Yes — point your SDK at https://api.faceb.ai/v1 and use this model's slug as the model parameter. Everything else works as normal.

Does Jamba Large 1.7 support image inputs?

Check the model catalog — multimodal models are marked in the picker. If it accepts images, you can drop screenshots and diagrams straight into the chat.

Can I switch from Jamba Large 1.7 to another model mid-chat?

Yes — the picker is always at the top of the chat. Previous context carries over.

Will newer versions of Jamba Large 1.7 show up here automatically?

Yes. Our catalog auto-fetches from the upstream aggregator, so provider updates and new versions appear in the picker as soon as they're available.

Or try a different model

Your Faceb.ai tokens work for every model — switch per message, no extra subscriptions.

Ready to chat?

One subscription covers every frontier model — switch between them per message. No extra API keys, no extra bills.

Start chatting with Jamba Large 1.7 → Go Pro · $14.99/mo