Mistral AI, proprietary

# Mistral Large 4

> Mistral Large 4 by Mistral AI, released October 2026. Ranked #99 of 354 with a Noometry Index of 43.1. API: $0.68 in / $2.09 out per M tokens. 1.05M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/mistral-large-4
- Last updated: 2026-10-10
- Title: Mistral Large 4 Benchmarks, Price & Rank (October 2026)

Mistral Large 4 by Mistral AI ranks 99th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.1. Its strongest category is coding, where it ranks 57th. API pricing starts at $0.68 per million input tokens and $2.09 per million output tokens, with a 1.05M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #99 of 354
- **Index score:** 43.1
- **Evidence:** Confirmed 15 results
- **Provider:** [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral)
- **Released:** October 6, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1.05M
- **Max output:** 262K
- **Input price:** $0.68 / M
- **Output price:** $2.09 / M
- **Blended price:** $1.03 / M
- **Output speed:** Not measured
- **Value:** #112 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image

## Category scores

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

Mistral Large 4 category scores

1.  Coding 48.6
2.  Reasoning 22.5
3.  Math 40.4
4.  Knowledge 36.6
5.  Multilingual 52.6
6.  Instruction Following 75.0
7.  Long Context 43.6
8.  Writing & Preference 60.4
9.  020406080

Mistral Large 4 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 48.6 | #57 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 22.5 | #192 | 2 |
| [Math](https://noometry.com/best/math) | 40.4 | #91 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 36.6 | #166 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 52.6 | #82 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.0 | #76 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.6 | #89 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 60.4 | #97 | 3 |

## Strengths and weaknesses

Categories where Mistral Large 4 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Mistral Large 4: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 48.6 | +9.9 | #57 of 340, top 17% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.0 | +3.8 | #76 of 305, top 25% |
| [Multilingual](https://noometry.com/best/multilingual) | 52.6 | +5.2 | #82 of 297, top 28% |

### Weakest categories

Mistral Large 4: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.5 | −1.1 | #192 of 350, top 55% |
| [Knowledge](https://noometry.com/best/knowledge) | 36.6 | −0.7 | #166 of 314, top 53% |
| [Writing & Preference](https://noometry.com/best/writing) | 60.4 | +6.6 | #97 of 312, top 32% |

## Closest competitors

The models ranked just above and below Mistral Large 4. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Mistral Large 4
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | #95 | 43.2 | $1.22 | — | [Compare](https://noometry.com/compare/mistral-large-4-vs-qwen3-vl-235b-a22b) |
| [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | #96 | 43.2 | $1.13 | — | [Compare](https://noometry.com/compare/dola-seed-2-0-pro-vs-mistral-large-4) |
| [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | #97 | 43.1 | $0.45 | 30 | [Compare](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mistral-large-4) |
| [Hunyuan Vision 1.5](https://noometry.com/models/hunyuan-vision-1-5) | #98 | 43.1 | — | — | [Compare](https://noometry.com/compare/hunyuan-vision-1-5-vs-mistral-large-4) |
| [Claude Opus 4](https://noometry.com/models/claude-opus-4) | #100 | 43.1 | $30 | 29 | [Compare](https://noometry.com/compare/claude-opus-4-vs-mistral-large-4) |
| [Amazon Nova Experimental Chat 11 10](https://noometry.com/models/amazon-nova-experimental-chat-11-10) | #101 | 43.0 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-mistral-large-4) |
| [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | #102 | 43.0 | $0.88 | 111 | [Compare](https://noometry.com/compare/mistral-large-4-vs-qwen3-next-80b-a3b-instruct) |
| [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | #103 | 43.0 | $0.54 | — | [Compare](https://noometry.com/compare/mimo-v2-pro-vs-mistral-large-4) |

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 4 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1541 | #36 of 113, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1475 | #50 of 294, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Mistral Large 4 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 27.4% | #75 of 91, top 83% | high | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1444 | #74 of 297, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

Mistral Large 4 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1488 | #20 of 285, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Mistral Large 4 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 20% | #65 of 77, top 85% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1447 | #73 of 273, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Mistral Large 4 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1415 | #82 of 297, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1491 | #55 of 285, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1414 | #89 of 283, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Mistral Large 4 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1424 | #68 of 298, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Mistral Large 4 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1429 | #78 of 291, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Mistral Large 4 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1427 | #84 of 297, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1361 | #121 of 295, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1424 | #92 of 295, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Mistral Large 4 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [mistral](https://docs.mistral.ai/getting-started/models/) | $0.68 | $2.09 | $0.07 | 2026-10-10 |
| [openrouter](https://openrouter.ai/mistralai/mistral-large-4-0) | $0.68 | $2.09 | $0.07 | 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 4

-   [Mistral Large 4 vs Mistral Large 3](https://noometry.com/compare/mistral-large-3-vs-mistral-large-4)
-   [Mistral Large 4 vs Hunyuan Vision 1.5](https://noometry.com/compare/hunyuan-vision-1-5-vs-mistral-large-4)
-   [Mistral Large 4 vs Claude Opus 4](https://noometry.com/compare/claude-opus-4-vs-mistral-large-4)
-   [Mistral Large 4 vs DeepSeek-V3.1-Terminus](https://noometry.com/compare/deepseek-v3-1-terminus-vs-mistral-large-4)
-   [Mistral Large 4 vs Amazon Nova Experimental Chat 11 10](https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-mistral-large-4)
-   [Mistral Large 4 vs Seed 2.0 Pro](https://noometry.com/compare/dola-seed-2-0-pro-vs-mistral-large-4)
-   [Mistral Large 4 vs Qwen3-Next 80B-A3B Instruct](https://noometry.com/compare/mistral-large-4-vs-qwen3-next-80b-a3b-instruct)
-   [Mistral Large 4 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-mistral-large-4)
-   [Mistral Large 4 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-mistral-large-4)
-   [Mistral Large 4 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-mistral-large-4)
-   [Mistral Large 4 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-mistral-large-4)
-   [Mistral Large 4 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-mistral-large-4)
-   [Mistral Large 4 vs Qwen3.8 Max](https://noometry.com/compare/mistral-large-4-vs-qwen3-8-max)
-   [Mistral Large 4 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-mistral-large-4)

## Other Mistral AI models

-   [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5)40.2
-   [Mistral Large 3](https://noometry.com/models/mistral-large-3)39.1
-   [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 4?

Mistral Large 4 by Mistral AI ranks 99th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.1. Its strongest category is coding, where it ranks 57th. API pricing starts at $0.68 per million input tokens and $2.09 per million output tokens, with a 1.05M-token context window.

### How much does Mistral Large 4 cost?

Mistral Large 4 costs $0.68 per million input tokens and $2.09 per million output tokens on Mistral AI's own API, with cached input at $0.07.

### What is Mistral Large 4's context window?

Mistral Large 4 accepts up to 1.05M tokens of input and can write up to 262K tokens in one response.

### Is Mistral Large 4 open source?

No. Mistral Large 4 is proprietary and available only through Mistral AI's API and partner platforms.

### What are Mistral Large 4's strengths and weaknesses?

Relative to other ranked models, Mistral Large 4 places best in coding, instruction following, multilingual and lowest in reasoning, knowledge, writing & preference.

### What is Mistral Large 4 best at?

Its best category is coding, where it ranks 57th on Noometry.

### Cite this page

Noometry. (2026). Mistral Large 4 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/mistral-large-4

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/mistral-large-4.md).