Model comparison
GPT-4.1 mini vs Mistral
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Mistral in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.7 to 52.6.
- The biggest single-benchmark swing is MMLU-Pro: 78.3% for GPT-4.1 mini and 27.7% for Mistral.
Side by side
| GPT-4.1 mini | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.6 | 29.9 |
| Released | 2025-04-14 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $1.60 | — |
| Results tracked | 47 | 22 |
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Category by category
Coding Mistral leads
GPT-4.1 mini: 30.6 (#293), Mistral: 33.8 (#250)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Coding | 1367 | 1162 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Mistral: —
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Mistral leads
GPT-4.1 mini: 10.8 (#340), Mistral: 22.2 (#200)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1149 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math GPT-4.1 mini leads
GPT-4.1 mini: 24.1 (#270), Mistral: 22.3 (#278)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| Omni-MATH | 49.1% | 7.2% |
| LMArena Math | 1343 | 1180 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#194), Mistral: 16.6 (#288)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| MMLU-Pro | 78.3% | 27.7% |
| GPQA (HELM) | 61.4% | 30.3% |
| LMArena Expert | 1338 | 1125 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Mistral: —
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.7 (#166), Mistral: 32.8 (#254)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Non-English | 1318 | 1129 |
| LMArena Chinese | 1329 | 1109 |
| LMArena French | 1358 | 1180 |
| LMArena German | 1351 | 1155 |
| LMArena Japanese | 1290 | 1013 |
| LMArena Korean | 1298 | 1032 |
| LMArena Russian | 1324 | 1168 |
| LMArena Spanish | 1319 | 1143 |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.7 (#118), Mistral: 52.6 (#288)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| IFEval | 90.4% | 56.8% |
| LMArena Instruction Following | 1333 | 1152 |
Long Context Mistral leads
GPT-4.1 mini: 31.8 (#275), Mistral: 35.0 (#245)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Longer Query | 1344 | 1153 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.6 (#199), Mistral: 37.0 (#260)
| Benchmark | GPT-4.1 mini | Mistral |
|---|---|---|
| LMArena Text | 1340 | 1165 |
| LMArena Creative Writing | 1300 | 1158 |
| WildBench | 83.8% | 66% |
| LMArena Multi-Turn | 1354 | 1147 |
| EQ-Bench Creative Writing | 1147 | — |
Frequently asked questions
Is GPT-4.1 mini better than Mistral?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.9 on the Noometry Index.
Is GPT-4.1 mini or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 30.6 in the Noometry coding category.
How many benchmarks do GPT-4.1 mini and Mistral share?
22 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral has 22.