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Model

Jamba Large 1.7

AI21 Jamba Large 1.7 — pricing, 256k context window, API cost calculator and alternatives.

By AI21

🔧 Tools Function calling — the model can structure responses as tool calls with typed arguments. Reliability differs between providers. Glossary → {} JSON Forces output to be valid JSON, reducing parse errors. Some providers also let you constrain to a schema. Glossary →
Context window Maximum tokens (input + output) the model can process in a single request. Glossary →
256,000
tokens
Input price What the model charges for tokens you send (prompt + context). Glossary →
$2.0000
per 1M tokens
Output price What the model charges for tokens it generates. Usually 3–5× pricier than input. Glossary →
$8.0000
per 1M tokens

Specs

Provider
AI21
Slug
ai21/jamba-large-1-7
Capabilities
tools, json_mode

Pricing freshness

Tier
standard
Currency
USD
As of
2026-05-08 17:08 UTC
Estimate monthly cost → See alternatives to Jamba Large 1.7 →

Pricing history

Tracking Jamba Large 1.7 pricing since 2026-05-08. We'll plot the chart here once it changes.

Quickstart — call Jamba Large 1.7 from your app

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -d '{
    "model": "ai21/jamba-large-1-7",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Official docs: https://openrouter.ai/docs

Related models

Similar capabilities, context window, and price tier — drawn from across the catalog so you can compare alternatives in one click.

Frequently asked questions

What is Jamba Large 1.7?

Jamba Large 1.7 is a large language model API from AI21 with a 256k-token context window. It costs $2 per 1M input tokens and $8 per 1M output tokens.

How much does Jamba Large 1.7 cost?

Jamba Large 1.7 is priced at $2 per 1M input tokens and $8 per 1M output tokens via the AI21 API. A 50/50 input/output workload of 1M total tokens costs about $5.

What is the context window of Jamba Large 1.7?

Jamba Large 1.7 supports up to 256k tokens of context per request — roughly 512 pages of English text or 32000 lines of code at a typical density.

Does Jamba Large 1.7 support vision, tool use, or JSON mode?

Jamba Large 1.7 supports tool/function calling and structured JSON mode. It does not support image input (vision).

Who makes Jamba Large 1.7?

Jamba Large 1.7 is built and operated by AI21. Pricing, context window, and capabilities on this page are refreshed nightly from AI21's public catalog.

Can I self-host Jamba Large 1.7?

Jamba Large 1.7 is API-only — its weights are not publicly distributed by AI21, so it cannot be self-hosted today.

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