AI21 Labs: Jamba Large 1.7

Public pricingIntelligence 79/100Large memoryUso di strumenti

AI21: Jamba Large 1.7 è un modello testo pensato per chat generale, analisi e uso in produzione. Unisce bassa latenza e inferenza efficiente, un contesto di 256K tokens e un profilo a costo equilibrato per un lavoro affidabile in general chat, analysis, and production workloads.

Input

$2.00/1M

Output

$8.00/1M

Cached

$0.20/1M

Batch

$1.00/1M

Calculate your Jamba Large 1.7 bill.

Set your workload — see cost at your exact volume.

What would Jamba Large 1.7 cost you?

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Technical specifications

Jamba Large 1.7 at a glance.

Memory

256,000

tokens

Max reply

4,096

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Mar 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    11

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Jamba Large 1.7

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Jamba Large 1.7 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Jamba Large 1.7 costs roughly $470 per month. Input is $2.00 /1M tokens and output is $8.00 /1M tokens.
Jamba Large 1.7 has a 256,000-token context window (large memory — an entire book or large codebase). That means you can fit about 48,000 words of input and history in a single call.
Beyond text generation, Jamba Large 1.7 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Jamba Large 1.7 was released in March 2025, with training data cut off around October 2024.
Models in a similar class include Gemini 3.1 Pro Preview, Gemini 3.1 Pro Preview Custom Tools, GPT-4.1. The "Similar models" section below this FAQ links into each.

Still unsure?

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