Model comparison
GPT-5 Mini vs Mistral
GPT-5 Mini is the stronger model overall, scoring 41.8 to 29.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AISummary
- They share 22 benchmarks with published results for both. GPT-5 Mini scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Mini leads 45.6 to 16.6.
- The biggest single-benchmark swing is Omni-MATH: 72.2% for GPT-5 Mini and 7.2% for Mistral.
Side by side
| GPT-5 Mini | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.8 | 29.9 |
| Released | 2025-08-07 | — |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $2 | — |
| Results tracked | 60 | 22 |
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Category by category
Coding GPT-5 Mini leads
GPT-5 Mini: 40.1 (#146), Mistral: 33.8 (#250)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Coding | 1406 | 1162 |
| SWE-bench Verified | 64.7% | — |
| SWE-bench Verified (bash only) | 59.8% | — |
| SWE-bench Multilingual | 39.7% | — |
| SciCode | 39.2% | — |
| WeirdML | 52.7% | — |
| ALE-Bench | 799.77 | — |
| AlgoTune | 1.38 | — |
Agentic & Tool Use Not comparable
GPT-5 Mini: 31.1 (#70), Mistral: —
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| Terminal-Bench | 34.8% | — |
| Berkeley Function Calling Leaderboard | 55.5% | — |
| Vending-Bench 2 | -31.18 | — |
Reasoning GPT-5 Mini leads
GPT-5 Mini: 23.9 (#168), Mistral: 22.2 (#200)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1380 | 1149 |
| ARC-AGI-2 | 4.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 54.3% | — |
| CritPt | 0% | — |
| Chess Puzzles | 30% | — |
| EnigmaEval | 8.2% | — |
| Mystery Game Puzzles | 10% | — |
| DTBench | 80.5% | — |
| LMCA | 34.2% | — |
| Epoch Capabilities Index | 145.52 | — |
| ForecastBench | 61 | — |
Math GPT-5 Mini leads
GPT-5 Mini: 46.7 (#69), Mistral: 22.3 (#278)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| Omni-MATH | 72.2% | 7.2% |
| LMArena Math | 1378 | 1180 |
| FrontierMath (Tiers 1-3) | 46.7% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 27.2% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5 Mini leads
GPT-5 Mini: 45.6 (#86), Mistral: 16.6 (#288)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| MMLU-Pro | 83.5% | 27.7% |
| GPQA (HELM) | 75.6% | 30.3% |
| LMArena Expert | 1379 | 1125 |
| GPQA Diamond | 75% | — |
| Humanity's Last Exam | 19.4% | — |
| SimpleQA Verified | 21.6% | — |
| Confabulations | 13.3% | — |
| Vectara Hallucination Rate | 12.9% | — |
Multimodal Not comparable
GPT-5 Mini: 35.6 (#85), Mistral: —
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Vision | 1202 | — |
| VPCT | 40.2% | — |
Multilingual GPT-5 Mini leads
GPT-5 Mini: 48.9 (#137), Mistral: 32.8 (#254)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Non-English | 1363 | 1129 |
| LMArena Chinese | 1385 | 1109 |
| LMArena French | 1386 | 1180 |
| LMArena German | 1366 | 1155 |
| LMArena Japanese | 1341 | 1013 |
| LMArena Korean | 1308 | 1032 |
| LMArena Russian | 1362 | 1168 |
| LMArena Spanish | 1355 | 1143 |
Instruction Following GPT-5 Mini leads
GPT-5 Mini: 76.2 (#46), Mistral: 52.6 (#288)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| IFEval | 92.7% | 56.8% |
| LMArena Instruction Following | 1357 | 1152 |
Long Context GPT-5 Mini leads
GPT-5 Mini: 41.9 (#132), Mistral: 35.0 (#245)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Longer Query | 1355 | 1153 |
| Fiction.LiveBench | 69.4% | — |
Writing & Preference GPT-5 Mini leads
GPT-5 Mini: 55.2 (#148), Mistral: 37.0 (#260)
| Benchmark | GPT-5 Mini | Mistral |
|---|---|---|
| LMArena Text | 1373 | 1165 |
| LMArena Creative Writing | 1325 | 1158 |
| WildBench | 85.5% | 66% |
| LMArena Multi-Turn | 1363 | 1147 |
| Short-Story Creative Writing | 83.1% | — |
| EQ-Bench Creative Writing | 1313 | — |
Frequently asked questions
Is GPT-5 Mini better than Mistral?
GPT-5 Mini is the stronger model overall, scoring 41.8 to 29.9 on the Noometry Index.
Is GPT-5 Mini or Mistral better for coding?
GPT-5 Mini scores higher on coding benchmarks: 40.1 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-5 Mini and Mistral share?
22 benchmarks have published results for both models. GPT-5 Mini has 60 scored results on Noometry and Mistral has 22.