AI21 LabsJamba Large 1.6
Jamba Large 1.6 is an AI21 Labs proprietary model. Its best configuration ranks #784 of 785 on the BenchLeader Index at 26.0 ±7.8, in the lower half. The ± is the point: 11 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in knowledge (21) and lowest in coding (12). At $3.50 per million tokens blended it is among the most expensive ranked models. Last measured 13 Oct 2026.
- 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
- Overall index26
- Coding12
- Maths17
- Knowledge21
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 1.6this page | – | 26.0 | #784 |
| Jamba Large 1.7 | – | – | – |
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 |
|---|---|---|
| GPQA Diamond (Vals)not in index | 36.1%#125 | Vals AI |
Coding
| Benchmark | not stated | Source |
|---|---|---|
| LiveCodeBench | 22.3%#134 | Vals AI |
Maths
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
- What are Jamba Large 1.6's benchmark scores?
- As of 25 Oct 2026, Jamba Large 1.6 scores 26.0 ±7.8 on the BenchLeader Index, strongest in knowledge (21) and weakest in coding (12). That rests on 8 independent benchmark results, and every score on this page links to its publisher.
- How does Jamba Large 1.6 rank?
- Jamba Large 1.6 is #784 of 785 ranked configurations on 25 Oct 2026. 11 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Jamba Large 1.6 cost per 1M tokens?
- As of 25 Oct 2026, Jamba Large 1.6 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 1.6: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/jamba-large-1-6.