Model comparison
GPT-4o mini vs Mistral Small 3
Mistral Small 3 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.
Last verified . 24 shared benchmarks.
Mistral AISummary
- They share 24 benchmarks with published results for both. GPT-4o mini scores higher in 3 categories and Mistral Small 3 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3 leads 36.5 to 22.0.
- The biggest single-benchmark swing is Confabulations: 37.2% for GPT-4o mini and 25.2% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
- GPT-4o mini accepts more context: 128K tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Mistral Small 3 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 25.5 | 31.2 |
| Released | 2024-07-18 | 2025-01-30 |
| Weights | Proprietary | Open |
| Context window | 128K | 33K |
| Max output | 16K | 16K |
| Input $ / M tokens | $0.15 | $0.05 |
| Output $ / M tokens | $0.60 | $0.08 |
| Results tracked | 60 | 24 |
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Category by category
Coding Mistral Small 3 leads
GPT-4o mini: 22.0 (#335), Mistral Small 3: 36.5 (#207)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 45.3% |
| LMArena Coding | 1290 | 1246 |
| BigCodeBench Complete | 57.4% | 50.4% |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| LiveBench Coding | 43.1% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Mistral Small 3: —
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Mistral Small 3 leads
GPT-4o mini: 8.7 (#347), Mistral Small 3: 18.9 (#273)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1267 | 1233 |
| Epoch Capabilities Index | 126.56 | 127.07 |
| 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 leads
GPT-4o mini: 10.4 (#314), Mistral Small 3: 16.3 (#295)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.9% | 6.7% |
| LMArena Math | 1267 | 1240 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Mistral Small 3 leads
GPT-4o mini: 17.7 (#284), Mistral Small 3: 25.1 (#263)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 37.7% | 47.3% |
| Confabulations | 37.2% | 25.2% |
| LMArena Expert | 1235 | 1202 |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Mistral Small 3: —
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual GPT-4o mini leads
GPT-4o mini: 42.0 (#199), Mistral Small 3: 37.3 (#236)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1266 | 1198 |
| LMArena Chinese | 1265 | 1204 |
| LMArena French | 1297 | 1203 |
| LMArena German | 1272 | 1211 |
| LMArena Japanese | 1216 | 1111 |
| LMArena Korean | 1195 | 1188 |
| LMArena Russian | 1275 | 1216 |
| LMArena Spanish | 1276 | — |
Instruction Following Mistral Small 3 leads
GPT-4o mini: 61.9 (#239), Mistral Small 3: 63.7 (#229)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1258 | 1214 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-4o mini leads
GPT-4o mini: 39.1 (#186), Mistral Small 3: 37.8 (#211)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1289 | 1246 |
Writing & Preference GPT-4o mini leads
GPT-4o mini: 39.5 (#248), Mistral Small 3: 32.2 (#280)
| Benchmark | GPT-4o mini | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1286 | 1234 |
| LMArena Creative Writing | 1268 | 1195 |
| EQ-Bench Creative Writing | 873 | 707 |
| LMArena Multi-Turn | 1285 | 1217 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Mistral Small 3?
Mistral Small 3 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.
Which is cheaper, GPT-4o 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-4o mini lists at $0.15 and $0.60.
Is GPT-4o mini or Mistral Small 3 better for coding?
Mistral Small 3 scores higher on coding benchmarks: 36.5 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
GPT-4o mini does, with 128K tokens against 33K.
How many benchmarks do GPT-4o mini and Mistral Small 3 share?
24 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Mistral Small 3 has 24.