Model comparison
GPT-4.1 mini vs Mistral Small
GPT-4.1 mini and Mistral Small score almost the same on the Noometry Index (33.6 vs 33.4), so choose on price, context window or the category you care about most.
Last verified . 28 shared benchmarks.
Mistral AISummary
- They share 28 benchmarks with published results for both. GPT-4.1 mini scores higher in 6 categories and Mistral Small in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mistral Small leads 19.8 to 10.8.
- The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 46.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Mistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.6 | 33.4 |
| Released | 2025-04-14 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 256K |
| Input $ / M tokens | $0.40 | $0.15 |
| Output $ / M tokens | $1.60 | $0.60 |
| Results tracked | 47 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Small leads
GPT-4.1 mini: 30.6 (#293), Mistral Small: 34.0 (#247)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| SciCode | 40.4% | 26.5% |
| BigCodeBench Instruct | 48.9% | 36.1% |
| LMArena Coding | 1367 | 1362 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| CadEval | 16% | — |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.3 (#55), Mistral Small: 28.1 (#93)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 37.1% |
Reasoning Mistral Small leads
GPT-4.1 mini: 10.8 (#340), Mistral Small: 19.8 (#250)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | 48.6% | 37.8% |
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1349 | 1335 |
| DTBench | 68.8% | 70.9% |
| LMCA | 21.1% | 20.6% |
| ARC-AGI-2 | 0% | — |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| LiveBench Reasoning | — | 44.8% |
| Mystery Game Puzzles | 7% | — |
| LiveBench Data Analysis | — | 53.7% |
| Epoch Capabilities Index | 135.01 | — |
| LiveBench | — | 44% |
Math GPT-4.1 mini leads
GPT-4.1 mini: 24.1 (#270), Mistral Small: 16.4 (#293)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 5.8% |
| LMArena Math | 1343 | 1341 |
| MATH Level 5 | 87.3% | 46.8% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| LiveBench Math | — | 39.9% |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#194), Mistral Small: 31.0 (#222)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| GPQA Diamond | 65.8% | 47.5% |
| LMArena Expert | 1338 | 1291 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Vectara Hallucination Rate | — | 5.1% |
| GPQA (HELM) | 61.4% | — |
| MMLU | — | 68.7% |
Multimodal GPT-4.1 mini leads
GPT-4.1 mini: 35.8 (#82), Mistral Small: 33.5 (#96)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| LMArena Vision | 1181 | 1142 |
Multilingual Too close to call
GPT-4.1 mini: 45.7 (#166), Mistral Small: 45.5 (#169)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| LMArena Non-English | 1318 | 1315 |
| LMArena Chinese | 1329 | 1340 |
| LMArena French | 1358 | 1337 |
| LMArena German | 1351 | 1340 |
| LMArena Japanese | 1290 | 1275 |
| LMArena Korean | 1298 | 1259 |
| LMArena Russian | 1324 | 1324 |
| LMArena Spanish | 1319 | 1346 |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.7 (#118), Mistral Small: 66.4 (#209)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1333 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
| IFEval | 90.4% | — |
Long Context Mistral Small leads
GPT-4.1 mini: 31.8 (#275), Mistral Small: 40.4 (#156)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1344 | 1327 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Mistral Small leads
GPT-4.1 mini: 48.6 (#199), Mistral Small: 52.5 (#171)
| Benchmark | GPT-4.1 mini | Mistral Small |
|---|---|---|
| LMArena Text | 1340 | 1338 |
| LMArena Creative Writing | 1300 | 1305 |
| LMArena Multi-Turn | 1354 | 1344 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is GPT-4.1 mini better than Mistral Small?
GPT-4.1 mini and Mistral Small score almost the same on the Noometry Index (33.6 vs 33.4), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 mini or Mistral Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Mistral Small better for coding?
Mistral Small scores higher on coding benchmarks: 34.0 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Mistral Small share?
28 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Small has 39.