Model comparison
GPT-4o mini vs Mistral Small 3.1
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 25.5 on the Noometry Index. GPT-4o mini costs 1.5× less per token, which makes it the better buy when Mistral Small 3.1's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Mistral AISummary
- They share 28 benchmarks with published results for both. GPT-4o mini scores higher in 2 categories and Mistral Small 3.1 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3.1 leads 38.3 to 22.0.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Mistral Small 3.1 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 25.5 | 31.7 |
| Released | 2024-07-18 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 16K | 102K |
| Input $ / M tokens | $0.15 | $0.35 |
| Output $ / M tokens | $0.60 | $0.56 |
| Results tracked | 60 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
GPT-4o mini: 22.0 (#335), Mistral Small 3.1: 38.3 (#179)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1290 | 1309 |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Mistral Small 3.1: —
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Mistral Small 3.1 leads
GPT-4o mini: 8.7 (#347), Mistral Small 3.1: 19.7 (#254)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| LMArena Hard Prompts | 1267 | 1278 |
| Epoch Capabilities Index | 126.56 | 127.48 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Mistral Small 3.1 leads
GPT-4o mini: 10.4 (#314), Mistral Small 3.1: 14.7 (#301)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.9% | 3.9% |
| Omni-MATH | 28% | 24.8% |
| LMArena Math | 1267 | 1262 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Mistral Small 3.1 leads
GPT-4o mini: 17.7 (#284), Mistral Small 3.1: 22.6 (#271)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 37.7% | 41.9% |
| MMLU-Pro | 60.3% | 61% |
| GPQA (HELM) | 36.8% | 39.2% |
| LMArena Expert | 1235 | 1257 |
| SimpleQA Verified | 8.3% | — |
| Confabulations | 37.2% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Mistral Small 3.1 leads
GPT-4o mini: 25.9 (#122), Mistral Small 3.1: 33.2 (#99)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1066 | 1136 |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Too close to call
GPT-4o mini: 42.0 (#199), Mistral Small 3.1: 41.2 (#209)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1266 | 1255 |
| LMArena Chinese | 1265 | 1253 |
| LMArena French | 1297 | 1273 |
| LMArena German | 1272 | 1266 |
| LMArena Japanese | 1216 | 1208 |
| LMArena Korean | 1195 | 1206 |
| LMArena Russian | 1275 | 1263 |
| LMArena Spanish | 1276 | 1283 |
Instruction Following Mistral Small 3.1 leads
GPT-4o mini: 61.9 (#239), Mistral Small 3.1: 63.6 (#230)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| IFEval | 78.2% | 75% |
| LMArena Instruction Following | 1258 | 1264 |
| LiveBench Instruction Following | 56.8% | — |
Long Context Too close to call
GPT-4o mini: 39.1 (#186), Mistral Small 3.1: 39.5 (#178)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1289 | 1299 |
Writing & Preference GPT-4o mini leads
GPT-4o mini: 39.5 (#248), Mistral Small 3.1: 37.0 (#259)
| Benchmark | GPT-4o mini | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1286 | 1277 |
| LMArena Creative Writing | 1268 | 1253 |
| EQ-Bench Creative Writing | 873 | 761 |
| WildBench | 79.1% | 78.8% |
| LMArena Multi-Turn | 1285 | 1270 |
| Short-Story Creative Writing | 67.2% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Mistral Small 3.1?
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 25.5 on the Noometry Index. GPT-4o mini costs 1.5× less per token, which makes it the better buy when Mistral Small 3.1's lead doesn't matter for your workload.
Which is cheaper, GPT-4o mini or Mistral Small 3.1?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.
Is GPT-4o mini or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-4o mini and Mistral Small 3.1 share?
28 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Mistral Small 3.1 has 28.