AI21 Labs, open weights

# Jamba Large

> Jamba Large by AI21 Labs, released July 2025. 2 published benchmark results. API: $2 in / $8 out per M tokens. 256K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/jamba-large
- Last updated: 2026-10-10
- Title: Jamba Large Benchmarks, Price & Rank (October 2026)

Jamba Large by AI21 Labs has 2 published benchmark results on Noometry, not yet enough to be ranked. API pricing starts at $2 per million input tokens and $8 per million output tokens, with a 256K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** Unranked
- **Index score:** Not ranked
- **Evidence:** Sparse 2 results
- **Provider:** [AI21 Labs](https://noometry.com/providers/ai21)
- **Released:** July 1, 2025
- **Weights:** Open weights
- **Reasoning:** No
- **Context window:** 256K
- **Max output:** 4K
- **Input price:** $2 / M
- **Output price:** $8 / M
- **Blended price:** $3.50 / M
- **Output speed:** 36 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** Not ranked
- **Knowledge cutoff:** August 2024
- **Input:** text

## Category scores

Each category score combines every public result we have in that category.

Jamba Large category scores

1.  Reasoning 18.0
2.  Knowledge 37.7
3.  010203040

Jamba Large category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 18.0 | — | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 37.7 | — | 1 |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Reasoning

Jamba Large Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 26.1% | #95 of 99, top 96% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |

### Knowledge

Jamba Large Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 9.7% | #53 of 96, top 56% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |

## API pricing by provider

Jamba Large API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [ai21](https://docs.ai21.com/docs/jamba-foundation-models) | $2 | $8 | — | 2026-10-10 |

[All AI21 Labs API prices →](https://noometry.com/llm-pricing/ai21) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Jamba Large

-   [Jamba Large vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-jamba-large)
-   [Jamba Large vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-jamba-large)
-   [Jamba Large vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-jamba-large)
-   [Jamba Large vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-jamba-large)
-   [Jamba Large vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-jamba-large)
-   [Jamba Large vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-jamba-large)
-   [Jamba Large vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-jamba-large)
-   [Jamba Large vs Kimi K3](https://noometry.com/compare/jamba-large-vs-kimi-k3)
-   [Jamba Large vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-jamba-large)
-   [Jamba Large vs Qwen3.8 Max](https://noometry.com/compare/jamba-large-vs-qwen3-8-max)
-   [Jamba Large vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-jamba-large)
-   [Jamba Large vs Muse Spark 1.3](https://noometry.com/compare/jamba-large-vs-muse-spark-1-3)
-   [Jamba Large vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-jamba-large)
-   [Jamba Large vs MiMo-V2.6-Pro](https://noometry.com/compare/jamba-large-vs-mimo-v2-6-pro)

## Other AI21 Labs models

-   [Jamba Mini](https://noometry.com/models/jamba-mini)

## Frequently asked questions

### How good is Jamba Large?

Jamba Large by AI21 Labs has 2 published benchmark results on Noometry, not yet enough to be ranked. API pricing starts at $2 per million input tokens and $8 per million output tokens, with a 256K-token context window.

### How much does Jamba Large cost?

Jamba Large costs $2 per million input tokens and $8 per million output tokens on AI21 Labs's own API.

### What is Jamba Large's context window?

Jamba Large accepts up to 256K tokens of input and can write up to 4K tokens in one response.

### Is Jamba Large open source?

Yes. Jamba Large's weights are downloadable; check the license for commercial terms.

### How fast is Jamba Large?

Jamba Large generated about 36 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### Cite this page

Noometry. (2026). Jamba Large benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/jamba-large

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/jamba-large.md).