AI21 Labs: Jamba Large 1.7
ai21/jamba-large-1.7
Access Jamba Large 1.7 from AI21 Labs using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "ai21/jamba-large-1.7"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "ai21/jamba-large-1.7"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="ai21/jamba-large-1.7",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "ai21/jamba-large-1.7",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Jamba Large 1.7 is AI21 Labs' flagship open-weight language model, built on a hybrid SSM-Transformer (Mamba-Transformer) architecture with a Mixture of Experts design — 398B total parameters with 94B active during inference.
Its standout feature is a 256K-token context window, making it well suited for processing lengthy documents, contracts, and knowledge bases. The model supports function calling, JSON mode, and nine languages including English, Spanish, French, German, and Arabic.
Jamba Large 1.7 emphasizes grounding and instruction-following, delivering contextually faithful responses with strong steerability. It generates output at roughly 69 tokens per second via the AI21 API. It targets enterprise workflows in domains like finance, healthcare, and legal — where long-context accuracy and data control matter most.
Context Window 256K
tokens
Max Output 4K
tokens
Input Cost $2
per million tokens
Output Cost $8
per million tokens
Release Date Aug 8, 2025
Output Speed 58
tokens / sec
Latency 0.87s
time to first token
Model Playground
Try Jamba Large 1.7 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Jamba Large 1.7 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 39.0% |
| Humanity's Last Exam Cross-domain reasoning | 3.7% |
| LiveCodeBench Recent coding problems | 18.1% |
| SciCode Scientific programming | 18.8% |
| MATH-500 Competition math | 60.0% |
| AIME 2024 Advanced math exam | 5.7% |
| AIME 2025 Advanced math exam | 2.3% |
| IFBench Instruction following | 35.2% |
| LCR Long-context reasoning | 18.3% |
| Terminal-Bench Hard Agentic terminal tasks | 2.3% |
| τ²-Bench Tool use / agents | 13.5% |
Scores sourced from Artificial Analysis.
Frequently Asked Questions
You can access Jamba Large 1.7 by AI21 Labs through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Jamba Large 1.7 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $2 |
| Output | $8 |
Jamba Large 1.7 was created by AI21 Labs and released on Aug 8, 2025.
Jamba Large 1.7 supports a context window of 256K tokens. For reference, that is roughly equivalent to 512 pages of text.
Jamba Large 1.7 can generate up to 4K tokens in a single response.
Jamba Large 1.7 scores 5.0 on the Artificial Analysis Intelligence Index, outperforming 16% of tracked models. On math, it scores 2.3 (outperforms 3% of models).
Yes — the Jamba Large 1.7 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Jamba Large 1.7 to your app without worrying about API keys or setup.
Read the Docs View Tutorials