Model comparison
GPT-4o mini vs Mistral 7B
GPT-4o mini is the stronger model overall, scoring 25.5 to 23.0 on the Noometry Index.
Last verified . 30 shared benchmarks.
Mistral AISummary
- They share 30 benchmarks with published results for both. GPT-4o mini scores higher in 6 categories and Mistral 7B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4o mini leads 42.0 to 25.8.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 3.7% for Mistral 7B.
- Both cost about the same: $0.15 input and $0.60 output per million tokens.
- GPT-4o mini accepts more context: 128K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Mistral 7B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 25.5 | 23.0 |
| Released | 2024-07-18 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 128K | 8K |
| Max output | 16K | 8K |
| Input $ / M tokens | $0.15 | $0.25 |
| Output $ / M tokens | $0.60 | $0.25 |
| Results tracked | 60 | 37 |
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Category by category
Coding Mistral 7B leads
GPT-4o mini: 22.0 (#335), Mistral 7B: 26.4 (#326)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 19.5% |
| LMArena Coding | 1290 | 1082 |
| BigCodeBench Complete | 57.4% | 27.3% |
| HumanEval+ | 83.5% | 36% |
| MBPP+ | 72.2% | 42.1% |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| LiveBench Coding | 43.1% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Mistral 7B: —
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Mistral 7B leads
GPT-4o mini: 8.7 (#347), Mistral 7B: 13.1 (#336)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1267 | 1067 |
| DTBench | 54.4% | 42.5% |
| Epoch Capabilities Index | 126.56 | 112.21 |
| PIQA | 88.7% | 83% |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| LiveBench | 41.3% | — |
| WinoGrande | — | 75.3% |
Math GPT-4o mini leads
GPT-4o mini: 10.4 (#314), Mistral 7B: 8.1 (#325)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.9% | 0.3% |
| LMArena Math | 1267 | 1085 |
| MATH Level 5 | 52.6% | 3.7% |
| GSM8K | 91.3% | 54.4% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
Knowledge GPT-4o mini leads
GPT-4o mini: 17.7 (#284), Mistral 7B: 7.4 (#311)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| GPQA Diamond | 37.7% | 15.2% |
| LMArena Expert | 1235 | 1036 |
| BoolQ | 88.7% | 87.4% |
| MMLU | 81.8% | 62.5% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| ARC (AI2) Challenge | — | 78.6% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Mistral 7B: —
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual GPT-4o mini leads
GPT-4o mini: 42.0 (#199), Mistral 7B: 25.8 (#283)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1266 | 1012 |
| LMArena Chinese | 1265 | 1009 |
| LMArena French | 1297 | 1037 |
| LMArena German | 1272 | 987 |
| LMArena Japanese | 1216 | 878 |
| LMArena Russian | 1275 | 1018 |
| LMArena Spanish | 1276 | 1026 |
| LMArena Korean | 1195 | — |
Instruction Following GPT-4o mini leads
GPT-4o mini: 61.9 (#239), Mistral 7B: 54.2 (#280)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1060 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-4o mini leads
GPT-4o mini: 39.1 (#186), Mistral 7B: 32.2 (#271)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1289 | 1060 |
Writing & Preference GPT-4o mini leads
GPT-4o mini: 39.5 (#248), Mistral 7B: 30.7 (#286)
| Benchmark | GPT-4o mini | Mistral 7B |
|---|---|---|
| LMArena Text | 1286 | 1090 |
| LMArena Creative Writing | 1268 | 1068 |
| LMArena Multi-Turn | 1285 | 1062 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Mistral 7B?
GPT-4o mini is the stronger model overall, scoring 25.5 to 23.0 on the Noometry Index.
Which is cheaper, GPT-4o mini or Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-4o mini lists at $0.15 and $0.60.
Is GPT-4o mini or Mistral 7B better for coding?
Mistral 7B scores higher on coding benchmarks: 26.4 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
GPT-4o mini does, with 128K tokens against 8K.
How many benchmarks do GPT-4o mini and Mistral 7B share?
30 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Mistral 7B has 37.