Model comparison
GPT-4o mini vs Mistral Nemo
GPT-4o mini and Mistral Nemo score almost the same on the Noometry Index (25.5 vs 26.4), so choose on price, context window or the category you care about most.
Last verified . 9 shared benchmarks.
Mistral AISummary
- They share 9 benchmarks with published results for both. GPT-4o mini scores higher in 3 categories and Mistral Nemo in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Nemo leads 25.5 to 10.4.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 25.5 | 26.4 |
| Released | 2024-07-18 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.15 | $0.15 |
| Output $ / M tokens | $0.60 | $0.15 |
| Results tracked | 60 | 10 |
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Category by category
Coding Not comparable
GPT-4o mini: 22.0 (#335), Mistral Nemo: —
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-4o mini leads
GPT-4o mini: 27.5 (#101), Mistral Nemo: 23.5 (#125)
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| BALROG | 17.4% | 17.6% |
| Berkeley Function Calling Leaderboard | — | 27.6% |
Reasoning Mistral Nemo leads
GPT-4o mini: 8.7 (#347), Mistral Nemo: 20.7 (#232)
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| DTBench | 54.4% | 48.6% |
| Epoch Capabilities Index | 126.56 | 118.68 |
| PIQA | 88.7% | 83.5% |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| LMArena Hard Prompts | 1267 | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| LiveBench | 41.3% | — |
Math Mistral Nemo leads
GPT-4o mini: 10.4 (#314), Mistral Nemo: 25.5 (#268)
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 52.6% | 10.8% |
| GSM8K | 91.3% | 84.2% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| LMArena Math | 1267 | — |
Knowledge GPT-4o mini leads
GPT-4o mini: 17.7 (#284), Mistral Nemo: 12.3 (#298)
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 37.7% | 29.9% |
| BoolQ | 88.7% | 82.5% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Mistral Nemo: —
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Not comparable
GPT-4o mini: 42.0 (#199), Mistral Nemo: —
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1266 | — |
| LMArena Chinese | 1265 | — |
| LMArena French | 1297 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
| LMArena Russian | 1275 | — |
| LMArena Spanish | 1276 | — |
Instruction Following Not comparable
GPT-4o mini: 61.9 (#239), Mistral Nemo: —
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1258 | — |
Long Context Not comparable
GPT-4o mini: 39.1 (#186), Mistral Nemo: —
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1289 | — |
Writing & Preference GPT-4o mini leads
GPT-4o mini: 39.5 (#248), Mistral Nemo: 28.5 (#296)
| Benchmark | GPT-4o mini | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 873 | 881 |
| LMArena Text | 1286 | — |
| LMArena Creative Writing | 1268 | — |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LMArena Multi-Turn | 1285 | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Mistral Nemo?
GPT-4o mini and Mistral Nemo score almost the same on the Noometry Index (25.5 vs 26.4), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4o mini or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4o mini lists at $0.15 and $0.60.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do GPT-4o mini and Mistral Nemo share?
9 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Mistral Nemo has 10.