# GPT-5 Nano vs Mistral

> GPT-5 Nano is the stronger model overall, scoring 33.4 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-mistral
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-5 Nano scores higher in 6 categories and Mistral in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-5 Nano leads 75.2 to 52.9.
- The biggest single-benchmark swing is MMLU-Pro: 77.8% for GPT-5 Nano and 27.7% for Mistral.

## Snapshot

| | GPT-5 Nano | Mistral |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.4 | 29.4 |
| Rank | 234 | 297 |
| Context | 400K | — |
| Input $/M | $0.05 | — |
| Output $/M | $0.40 | — |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5 Nano: 33.3 (#248)
- Mistral: 33.2 (#249)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Coding | 1351 | 1162 |
| SWE-bench Verified (bash only) | 34.8% | — |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.6 (#99)
- Mistral: —

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |

## Reasoning

- GPT-5 Nano: 16.4 (#291)
- Mistral: 21.3 (#199)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1329 | 1149 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.1 (#221)
- Mistral: 20.5 (#275)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| Omni-MATH | 54.6% | 7.2% |
| LMArena Math | 1318 | 1180 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.8 (#166)
- Mistral: 16.3 (#283)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| MMLU-Pro | 77.8% | 27.7% |
| GPQA (HELM) | 67.9% | 30.3% |
| LMArena Expert | 1321 | 1125 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 10.5% | — |

## Multimodal

- GPT-5 Nano: 30.7 (#102)
- Mistral: —

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.5 (#167)
- Mistral: 33.0 (#249)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Non-English | 1313 | 1129 |
| LMArena Chinese | 1355 | 1109 |
| LMArena German | 1329 | 1155 |
| LMArena Korean | 1269 | 1032 |
| LMArena Russian | 1296 | 1168 |
| LMArena Spanish | 1360 | 1143 |
| LMArena French | — | 1179 |
| LMArena Japanese | — | 1012 |

## Instruction Following

- GPT-5 Nano: 75.2 (#72)
- Mistral: 52.9 (#283)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| IFEval | 93.2% | 56.8% |
| LMArena Instruction Following | 1306 | 1152 |

## Long Context

- GPT-5 Nano: 31.3 (#275)
- Mistral: 35.0 (#240)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Longer Query | 1313 | 1154 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- GPT-5 Nano: 39.4 (#244)
- Mistral: 37.2 (#255)

| Benchmark | GPT-5 Nano | Mistral |
|---|---|---|
| LMArena Text | 1320 | 1165 |
| LMArena Creative Writing | 1250 | 1158 |
| WildBench | 80.6% | 66% |
| LMArena Multi-Turn | 1311 | 1147 |
| EQ-Bench Creative Writing | 705 | — |

## FAQ

### Is GPT-5 Nano better than Mistral?

GPT-5 Nano is the stronger model overall, scoring 33.4 to 29.4 on the Noometry Index.

### Is GPT-5 Nano or Mistral better for coding?

They score almost the same on coding (33.3 vs 33.2); test both on your own repository before choosing.

### How many benchmarks do GPT-5 Nano and Mistral share?

20 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and Mistral has 22.