Model comparison
GPT-4.1 mini vs Mistral Nemo
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 26.4 on the Noometry Index. Mistral Nemo costs 4.7× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. GPT-4.1 mini scores higher in 3 categories and Mistral Nemo in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 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 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.6 | 26.4 |
| Released | 2025-04-14 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.40 | $0.15 |
| Output $ / M tokens | $1.60 | $0.15 |
| Results tracked | 47 | 10 |
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Category by category
Coding Not comparable
GPT-4.1 mini: 30.6 (#293), Mistral Nemo: —
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.3 (#55), Mistral Nemo: 23.5 (#125)
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
GPT-4.1 mini: 10.8 (#340), Mistral Nemo: 20.7 (#232)
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| DTBench | 68.8% | 48.6% |
| Epoch Capabilities Index | 135.01 | 118.68 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| LMCA | 21.1% | — |
| PIQA | — | 83.5% |
Math Mistral Nemo leads
GPT-4.1 mini: 24.1 (#270), Mistral Nemo: 25.5 (#268)
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 87.3% | 10.8% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| GSM8K | — | 84.2% |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#194), Mistral Nemo: 12.3 (#298)
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 65.8% | 29.9% |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Mistral Nemo: —
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.7 (#166), Mistral Nemo: —
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |
Instruction Following Not comparable
GPT-4.1 mini: 73.7 (#118), Mistral Nemo: —
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |
Long Context Not comparable
GPT-4.1 mini: 31.8 (#275), Mistral Nemo: —
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.6 (#199), Mistral Nemo: 28.5 (#296)
| Benchmark | GPT-4.1 mini | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1147 | 881 |
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |
Frequently asked questions
Is GPT-4.1 mini better than Mistral Nemo?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 26.4 on the Noometry Index. Mistral Nemo costs 4.7× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4.1 mini and Mistral Nemo share?
6 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Nemo has 10.