Mistral AI, open weights

# Mistral Large 3

> Mistral Large 3 by Mistral AI, released December 2025. Ranked #176 of 354 with a Noometry Index of 39.1. API: $0.25 in / $0.75 out per M tokens. 262K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/mistral-large-3
- Last updated: 2026-10-10
- Title: Mistral Large 3 Benchmarks, Price & Rank (October 2026)

Mistral Large 3 by Mistral AI ranks 176th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.1. Its strongest category is multimodal, where it ranks 66th. API pricing starts at $0.25 per million input tokens and $0.75 per million output tokens, with a 262K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #176 of 354
- **Index score:** 39.1
- **Evidence:** Confirmed 24 results
- **Provider:** [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral)
- **Released:** December 2, 2025
- **Weights:** Open weights
- **Reasoning:** No
- **Context window:** 262K
- **Max output:** 8K
- **Input price:** $0.25 / M
- **Output price:** $0.75 / M
- **Blended price:** $0.38 / M
- **Output speed:** 7 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #57 of 219
- **Knowledge cutoff:** November 2024
- **Input:** text, image

## Category scores

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

Mistral Large 3 category scores

1.  Coding 34.4
2.  Reasoning 15.2
3.  Math 38.7
4.  Knowledge 36.0
5.  Multimodal 38.2
6.  Multilingual 52.5
7.  Instruction Following 74.0
8.  Long Context 43.1
9.  Writing & Preference 60.0
10.  020406080

Mistral Large 3 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 34.4 | #237 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 15.2 | #319 | 4 |
| [Math](https://noometry.com/best/math) | 38.7 | #129 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 36.0 | #177 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 38.2 | #66 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.5 | #84 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.0 | #108 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.1 | #105 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 60.0 | #101 | 4 |

## Strengths and weaknesses

Categories where Mistral Large 3 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Mistral Large 3: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 52.5 | +5.1 | #84 of 297, top 29% |
| [Writing & Preference](https://noometry.com/best/writing) | 60.0 | +6.2 | #101 of 312, top 33% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.0 | +2.8 | #108 of 305, top 36% |

### Weakest categories

Mistral Large 3: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 15.2 | −8.4 | #319 of 350, top 92% |
| [Coding](https://noometry.com/best/coding) | 34.4 | −4.3 | #237 of 340, top 70% |
| [Knowledge](https://noometry.com/best/knowledge) | 36.0 | −1.3 | #177 of 314, top 57% |

## Closest competitors

The models ranked just above and below Mistral Large 3. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Mistral Large 3
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3 32B](https://noometry.com/models/qwen3-32b) | #172 | 39.2 | $1.22 | 86 | [Compare](https://noometry.com/compare/mistral-large-3-vs-qwen3-32b) |
| [Gemini 2.0 Pro](https://noometry.com/models/gemini-2-0-pro) | #173 | 39.1 | — | — | [Compare](https://noometry.com/compare/gemini-2-0-pro-vs-mistral-large-3) |
| [Molmo 2 8b](https://noometry.com/models/molmo-2-8b) | #174 | 39.1 | — | — | [Compare](https://noometry.com/compare/mistral-large-3-vs-molmo-2-8b) |
| [Mercury 2](https://noometry.com/models/mercury-2) | #175 | 39.1 | $0.38 | — | [Compare](https://noometry.com/compare/mercury-2-vs-mistral-large-3) |
| [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) | #177 | 38.9 | $0.43 | 160 | [Compare](https://noometry.com/compare/glm-4-5-air-vs-mistral-large-3) |
| [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | #178 | 38.9 | $0.52 | — | [Compare](https://noometry.com/compare/minimax-m2-1-vs-mistral-large-3) |
| [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | #179 | 38.9 | $0.21 | 42 | [Compare](https://noometry.com/compare/mistral-large-3-vs-qwen3-30b-a3b) |
| [GLM-4.7-Flash](https://noometry.com/models/glm-4-7-flash) | #180 | 38.8 | $0.15 | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-mistral-large-3) |

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.

### Coding

Mistral Large 3 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1230 | #106 of 113, top 94% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1448 | #88 of 294, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Mistral Large 3 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 50.9% | #63 of 99, top 64% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 7.5% | #90 of 91, top 99% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization) | 23% | #22 of 23, top 96% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/generalization) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1429 | #89 of 297, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Mistral Large 3 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1414 | #110 of 285, top 39% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Mistral Large 3 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 14.5% | #85 of 96, top 89% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1421 | #107 of 273, top 40% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Mistral Large 3 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1221 | #71 of 122, top 59% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

Mistral Large 3 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1413 | #84 of 297, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1447 | #105 of 285, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1455 | #63 of 223, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1437 | #61 of 231, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1394 | #64 of 211, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1384 | #72 of 213, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1411 | #92 of 283, top 33% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1440 | #67 of 226, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Mistral Large 3 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1403 | #102 of 298, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Mistral Large 3 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1413 | #100 of 291, top 35% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Mistral Large 3 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1428 | #83 of 297, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1386 | #100 of 295, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1412 | #69 of 115, top 60% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1429 | #83 of 295, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Mistral Large 3 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $0.50 | $1.50 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/mistralai/mistral-large-2512:batch) | $0.25 | $0.75 | $0.025 | 2026-10-10 |

[All Mistral AI API prices →](https://noometry.com/llm-pricing/mistral) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Mistral Large 3

-   [Mistral Large 3 vs Mistral Large](https://noometry.com/compare/mistral-large-vs-mistral-large-3)
-   [Mistral Large 3 vs Mercury 2](https://noometry.com/compare/mercury-2-vs-mistral-large-3)
-   [Mistral Large 3 vs GLM-4.5-Air](https://noometry.com/compare/glm-4-5-air-vs-mistral-large-3)
-   [Mistral Large 3 vs Molmo 2 8b](https://noometry.com/compare/mistral-large-3-vs-molmo-2-8b)
-   [Mistral Large 3 vs MiniMax-M2.1](https://noometry.com/compare/minimax-m2-1-vs-mistral-large-3)
-   [Mistral Large 3 vs Gemini 2.0 Pro](https://noometry.com/compare/gemini-2-0-pro-vs-mistral-large-3)
-   [Mistral Large 3 vs Qwen3-30B-A3B](https://noometry.com/compare/mistral-large-3-vs-qwen3-30b-a3b)
-   [Mistral Large 3 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-mistral-large-3)
-   [Mistral Large 3 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-mistral-large-3)
-   [Mistral Large 3 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-mistral-large-3)
-   [Mistral Large 3 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-mistral-large-3)
-   [Mistral Large 3 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-mistral-large-3)
-   [Mistral Large 3 vs Qwen3.8 Max](https://noometry.com/compare/mistral-large-3-vs-qwen3-8-max)
-   [Mistral Large 3 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-mistral-large-3)

## Other Mistral AI models

-   [Mistral Large 4](https://noometry.com/models/mistral-large-4)43.1
-   [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5)40.2
-   [Mistral Medium](https://noometry.com/models/mistral-medium)36.3
-   [Magistral Medium](https://noometry.com/models/magistral-medium)35.2
-   [Devstral Small 2505](https://noometry.com/models/devstral-small)34.3
-   [Mistral Small](https://noometry.com/models/mistral-small)33.4
-   [Pixtral Large](https://noometry.com/models/pixtral-large)32.2
-   [Mistral Large](https://noometry.com/models/mistral-large)31.9

## Frequently asked questions

### How good is Mistral Large 3?

Mistral Large 3 by Mistral AI ranks 176th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.1. Its strongest category is multimodal, where it ranks 66th. API pricing starts at $0.25 per million input tokens and $0.75 per million output tokens, with a 262K-token context window.

### How much does Mistral Large 3 cost?

Mistral Large 3 costs $0.25 per million input tokens and $0.75 per million output tokens on openrouter, with cached input at $0.025.

### What is Mistral Large 3's context window?

Mistral Large 3 accepts up to 262K tokens of input and can write up to 8K tokens in one response.

### Is Mistral Large 3 open source?

Yes. Mistral Large 3's weights are downloadable; check the license for commercial terms.

### How fast is Mistral Large 3?

Mistral Large 3 generated about 7 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are Mistral Large 3's strengths and weaknesses?

Relative to other ranked models, Mistral Large 3 places best in multilingual, writing & preference, instruction following and lowest in reasoning, coding, knowledge.

### What is Mistral Large 3 best at?

Its best category is multimodal, where it ranks 66th on Noometry.

### Cite this page

Noometry. (2026). Mistral Large 3 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/mistral-large-3

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/mistral-large-3.md).