Mistral AI, proprietary
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.
Last verified
Specifications
- Noometry rank
- #99 of 354
- Index score
- 43.1
- Evidence
- Confirmed 15 results
- Provider
Mistral AI- 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.
- Coding 48.6
- Reasoning 22.5
- Math 40.4
- Knowledge 36.6
- Multilingual 52.6
- Instruction Following 75.0
- Long Context 43.6
- Writing & Preference 60.4
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 48.6 | #57 | 2 |
| Reasoning | 22.5 | #192 | 2 |
| Math | 40.4 | #91 | 1 |
| Knowledge | 36.6 | #166 | 2 |
| Multilingual | 52.6 | #82 | 1 |
| Instruction Following | 75.0 | #76 | 1 |
| Long Context | 43.6 | #89 | 1 |
| Writing & Preference | 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
| Category | Score | vs median | Rank |
|---|---|---|---|
| Coding | 48.6 | +9.9 | #57 of 340, top 17% |
| Instruction Following | 75.0 | +3.8 | #76 of 305, top 25% |
| Multilingual | 52.6 | +5.2 | #82 of 297, top 28% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Reasoning | 22.5 | −1.1 | #192 of 350, top 55% |
| Knowledge | 36.6 | −0.7 | #166 of 314, top 53% |
| Writing & Preference | 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.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Qwen3-VL 235B-A22B | #95 | 43.2 | $1.22 | — | Compare |
| Seed 2.0 Pro | #96 | 43.2 | $1.13 | — | Compare |
| DeepSeek-V3.1-Terminus | #97 | 43.1 | $0.45 | 30 | Compare |
| Hunyuan Vision 1.5 | #98 | 43.1 | — | — | Compare |
| Claude Opus 4 | #100 | 43.1 | $30 | 29 | Compare |
| Amazon Nova Experimental Chat 11 10 | #101 | 43.0 | — | — | Compare |
| Qwen3-Next 80B-A3B Instruct | #102 | 43.0 | $0.88 | 111 | Compare |
| MiMo-V2-Pro | #103 | 43.0 | $0.54 | — | Compare |
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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
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena WebDev | 1541 | #36 of 113, top 32% | LMArena | 2026-10-08 | |
| LMArena Coding | 1475 | #50 of 294, top 18% | LMArena | 2026-10-08 |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| NYT Connections (extended) | 27.4% | #75 of 91, top 83% | high | Lech Mazur benchmarks | |
| LMArena Hard Prompts | 1444 | #74 of 297, top 25% | LMArena | 2026-10-08 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Math | 1488 | #20 of 285, top 8% | LMArena | 2026-10-08 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| SimpleQA Verified | 20% | #65 of 77, top 85% | high | Epoch AI | 2026-10-09 |
| LMArena Expert | 1447 | #73 of 273, top 27% | LMArena | 2026-10-08 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1415 | #82 of 297, top 28% | LMArena | 2026-10-08 | |
| LMArena Chinese | 1491 | #55 of 285, top 20% | LMArena | 2026-10-08 | |
| LMArena Russian | 1414 | #89 of 283, top 32% | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1424 | #68 of 298, top 23% | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1429 | #78 of 291, top 27% | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1427 | #84 of 297, top 29% | LMArena | 2026-10-08 | |
| LMArena Creative Writing | 1361 | #121 of 295, top 42% | LMArena | 2026-10-08 | |
| LMArena Multi-Turn | 1424 | #92 of 295, top 32% | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| mistral | $0.68 | $2.09 | $0.07 | 2026-10-10 |
| openrouter | $0.68 | $2.09 | $0.07 | 2026-10-10 |
Compare Mistral Large 4
- Mistral Large 4 vs Mistral Large 3
- Mistral Large 4 vs Hunyuan Vision 1.5
- Mistral Large 4 vs Claude Opus 4
- Mistral Large 4 vs DeepSeek-V3.1-Terminus
- Mistral Large 4 vs Amazon Nova Experimental Chat 11 10
- Mistral Large 4 vs Seed 2.0 Pro
- Mistral Large 4 vs Qwen3-Next 80B-A3B Instruct
- Mistral Large 4 vs GPT-6 Astra
- Mistral Large 4 vs Claude Fable 5.1
- Mistral Large 4 vs Gemini 3.8 Flash
- Mistral Large 4 vs Kimi K3
- Mistral Large 4 vs Grok 4.6
- Mistral Large 4 vs Qwen3.8 Max
- Mistral Large 4 vs GLM-5.3
Other Mistral AI models
- Mistral Medium 3.540.2
- Mistral Large 339.1
- Mistral Medium36.3
- Magistral Medium35.2
- Devstral Small 250534.3
- Mistral Small33.4
- Pixtral Large32.2
- Mistral Large31.9
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.