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Ai21 Jamba Instruct vs Jamba
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Same context window size for both models.
Ai21 Jamba Instruct and Jamba have identical context windows (70K tokens). Jamba is 0% cheaper on input.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Ai21 Jamba Instruct | Jamba |
|---|---|---|
| Context window | 70,000 tokens (70K) | 70,000 tokens (70K) |
| Max output tokens | 4,096 tokens (4K) | 4,096 tokens (4K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Ai21 Jamba Instruct in | Ai21 Jamba Instruct out | Jamba in | Jamba out |
|---|---|---|---|---|
| Aws Bedrock | $0.500/M | $0.700/M | — | — |
| Azure | — | — | $0.500/M | $0.700/M |
| Snowflake | — | — | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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