AI21 LabsJamba Large 1.7
Jamba Large 1.7 is an AI21 Labs proprietary model. It is not yet ranked: 1 independent result so far, and the index needs at least five across two categories. At $3.50 per million tokens blended it is among the most expensive ranked models.
- Blended price
- $3.50/M
- $2.00 in · $8.00 out
- Output speed
- –
- First answer
- –
- Context
- 256k
- Full answer
- –
- Cost per run
- –
- Released
- –
- date not published by our sources
- Reasoning26
Versions
AI21 Labs has shipped 5 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Jamba 1.7 Large | 7 Jul 2025 | 41.3 | #634 |
| Jamba Large | 3 Jul 2025 | – | – |
| Jamba 1.5 Large | 22 Aug 2024 | 42.2 | #603 |
| Jamba Large 1.6 | – | 26.0 | #784 |
| Jamba Large 1.7this page | – | – | – |
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source |
|---|---|---|
| Kagi LLM Benchmark | 26.1%#128 | Kagi LLM Benchmark |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0032 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.029 | – | – |
| Code edit | 6,000 / 1,500 | $0.024 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.152 | – | – |
| Structured extraction | 2,000 / 200 | $0.0056 | – | – |
More from AI21 Labs
See also
Questions people ask
- Why does Jamba Large 1.7 have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Jamba Large 1.7 has 1 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Jamba Large 1.7 cost per 1M tokens?
- As of 25 Oct 2026, Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens, $3.50 blended (three input tokens per output token).
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Jamba Large 1.7: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/jamba-large-1-7.