AI21 · model

Jamba Large 1.7

$2.00/1M in · $8.00/1M out · 256K context. That's cheaper than 22% of the 298 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.

output price · per 1M tokens
$8.00
input $2.00/1M · routed
Context
256K
Input / 1M
$2.00
Output / 1M
$8.00
Modality
Text only
Provider
AI21
Tokenizer
Other

Snapshot · source: OpenRouter ↗ · how we measure →

cost at a typical workload
$1,400 / mo

For 1,500 input + 500 output tokens across 200,000 requests/month. That's 233× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).

Tune the workload in the calculator →

output price history
output / 1M

Flat at $8.00 since tracking began 2026-06-14. Full history →

Where it fits

  • A mid-range option — $2.00 in / $8.00 out per 1M with a 256K-token context.

Watch for

  • Priced from OpenRouter's routed market, not a first-party list price — availability and rate can shift without notice.
  • Text-only — no image, audio, or file input.

These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.

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How to read Jamba Large 1.7's pricing

Two numbers decide most of the bill: $2.00/1M for input (everything you send — prompt, context, attachments) and $8.00/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 4.0× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This row is OpenRouter's routed market price; it can move as providers and routing change.

Frequently asked questions

How much does Jamba Large 1.7 cost per million tokens?

Jamba Large 1.7 is priced at $2.00 per 1M input tokens and $8.00 per 1M output tokens, from OpenRouter's routed market price as of the 2026-06-15 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.

What is Jamba Large 1.7's context window?

Jamba Large 1.7 has a 256K-token context window — roughly 384 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.

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