Model comparison
GPT-4.1 mini vs Mistral Small 3
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 12× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
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 Small 3 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 mini leads 48.6 to 32.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 6.7% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 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 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Mistral Small 3 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.6 | 31.2 |
| Released | 2025-04-14 | 2025-01-30 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 33K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.40 | $0.05 |
| Output $ / M tokens | $1.60 | $0.08 |
| Results tracked | 47 | 24 |
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Category by category
Coding Mistral Small 3 leads
GPT-4.1 mini: 30.6 (#293), Mistral Small 3: 36.5 (#207)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 45.3% |
| LMArena Coding | 1367 | 1246 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Complete | — | 50.4% |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Mistral Small 3: —
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Mistral Small 3 leads
GPT-4.1 mini: 10.8 (#340), Mistral Small 3: 18.9 (#273)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| Chess Puzzles | 7% | 0% |
| LMArena Hard Prompts | 1349 | 1233 |
| Epoch Capabilities Index | 135.01 | 127.07 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
Math GPT-4.1 mini leads
GPT-4.1 mini: 24.1 (#270), Mistral Small 3: 16.3 (#295)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 6.7% |
| LMArena Math | 1343 | 1240 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| 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 Small 3: 25.1 (#263)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 65.8% | 47.3% |
| LMArena Expert | 1338 | 1202 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Confabulations | — | 25.2% |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Mistral Small 3: —
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.7 (#166), Mistral Small 3: 37.3 (#236)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1318 | 1198 |
| LMArena Chinese | 1329 | 1204 |
| LMArena French | 1358 | 1203 |
| LMArena German | 1351 | 1211 |
| LMArena Japanese | 1290 | 1111 |
| LMArena Korean | 1298 | 1188 |
| LMArena Russian | 1324 | 1216 |
| LMArena Spanish | 1319 | — |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.7 (#118), Mistral Small 3: 63.7 (#229)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1333 | 1214 |
| IFEval | 90.4% | — |
Long Context Mistral Small 3 leads
GPT-4.1 mini: 31.8 (#275), Mistral Small 3: 37.8 (#211)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1344 | 1246 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.6 (#199), Mistral Small 3: 32.2 (#280)
| Benchmark | GPT-4.1 mini | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1340 | 1234 |
| LMArena Creative Writing | 1300 | 1195 |
| EQ-Bench Creative Writing | 1147 | 707 |
| LMArena Multi-Turn | 1354 | 1217 |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Mistral Small 3?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 12× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 mini or Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Mistral Small 3 better for coding?
Mistral Small 3 scores higher on coding benchmarks: 36.5 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 33K.
How many benchmarks do GPT-4.1 mini and Mistral Small 3 share?
22 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Small 3 has 24.