Jamba Large 1.7
VerifiedAI21's Jamba Large 1.7 processes long text with a 256k-token window.
About Jamba Large 1.7
Jamba Large 1.7 is a proprietary LLM from AI21 Labs. It operates exclusively in the text modality. The model supports a context window of 256000 tokens.
Because it is closed-source, access occurs through AI21's hosted services rather than local deployment. This design enables reliable scaling for enterprise workloads. Typical usage includes long-document summarization and multi-turn dialogue that spans many pages of content.
Capabilities
How Jamba Large 1.7 compares
Jamba Large 1.7 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Jamba Large 1.7 ranks #75 of 78
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Summarizing lengthy research papers
The model processes entire academic papers or reports within its 256k token context to produce concise, accurate summaries while preserving key details.
Answering questions across full books or legal documents
It performs question answering over long texts by reasoning across the complete input without losing earlier sections.
Powering retrieval-augmented generation pipelines
The model integrates retrieved passages into coherent responses for knowledge-intensive tasks such as enterprise search or customer support bots.
Strengths & limitations
Strengths
- +Efficient handling of extended sequences via hybrid architecture
- +Strong performance on long-document tasks
- +Scalable inference for large contexts
Limitations
- –Text modality only
- –Newer architecture with potentially less broad optimization
- –Limited ecosystem and tooling maturity
Cost calculator
Estimate what Jamba Large 1.7 would cost for your usage.
Based on Jamba Large 1.7's $2.00/1M input · $8.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "ai21/jamba-large-1.7",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: ai21/jamba-large-1.7
Editor's verdict
Jamba Large 1.7 is AI21's proprietary language models with a 256K-token context window.
At $8.00 per 1M output tokens, it is premium-priced for its class.
It is available through AI21's API and aggregators like OpenRouter.
Best suited to efficient handling of extended sequences via hybrid architecture and strong performance on long-document tasks.
Frequently asked questions
The model supports a context length of 256000 tokens.
User reviews
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