Model comparison
GPT-4.1 nano vs Mistral 7B
GPT-4.1 nano is the stronger model overall, scoring 27.7 to 22.9 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. GPT-4.1 nano scores higher in 5 categories and Mistral 7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-4.1 nano leads 25.5 to 7.6.
- The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 3.7% for Mistral 7B.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- GPT-4.1 nano accepts more context: 1.05M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 nano | Mistral 7B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 27.7 | 22.9 |
| Released | 2025-04-14 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 8K |
| Max output | 33K | 8K |
| Input $ / M tokens | $0.10 | $0.25 |
| Output $ / M tokens | $0.40 | $0.25 |
| Results tracked | 38 | 37 |
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Category by category
Coding Mistral 7B leads
GPT-4.1 nano: 23.8 (#325), Mistral 7B: 25.9 (#321)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Coding | 1306 | 1082 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.3 (#98), Mistral 7B: —
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Mistral 7B leads
GPT-4.1 nano: 8.6 (#344), Mistral 7B: 12.6 (#331)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1067 |
| DTBench | 52.5% | 42.5% |
| Epoch Capabilities Index | 129.62 | 111.97 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LMCA | 5.5% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math GPT-4.1 nano leads
GPT-4.1 nano: 25.5 (#246), Mistral 7B: 7.6 (#319)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 0.3% |
| LMArena Math | 1274 | 1085 |
| MATH Level 5 | 70% | 3.7% |
| Omni-MATH | 36.7% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
| GSM8K | — | 54.4% |
Knowledge GPT-4.1 nano leads
GPT-4.1 nano: 21.8 (#268), Mistral 7B: 7.3 (#306)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| GPQA Diamond | 48.9% | 15.2% |
| LMArena Expert | 1272 | 1036 |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
GPT-4.1 nano: 28.6 (#108), Mistral 7B: —
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual GPT-4.1 nano leads
GPT-4.1 nano: 41.8 (#200), Mistral 7B: 26.0 (#278)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1260 | 1012 |
| LMArena Chinese | 1270 | 1009 |
| LMArena German | 1288 | 987 |
| LMArena Japanese | 1199 | 878 |
| LMArena Russian | 1261 | 1018 |
| LMArena French | — | 1036 |
| LMArena Spanish | — | 1026 |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 68.0 (#188), Mistral 7B: 54.5 (#275)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1267 | 1060 |
| IFEval | 84.3% | — |
Long Context Mistral 7B leads
GPT-4.1 nano: 23.7 (#291), Mistral 7B: 32.2 (#266)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1283 | 1060 |
| Fiction.LiveBench | 25% | — |
Writing & Preference GPT-4.1 nano leads
GPT-4.1 nano: 40.7 (#238), Mistral 7B: 30.9 (#281)
| Benchmark | GPT-4.1 nano | Mistral 7B |
|---|---|---|
| LMArena Text | 1285 | 1090 |
| LMArena Creative Writing | 1260 | 1068 |
| LMArena Multi-Turn | 1277 | 1062 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Mistral 7B?
GPT-4.1 nano is the stronger model overall, scoring 27.7 to 22.9 on the Noometry Index.
Which is cheaper, GPT-4.1 nano or Mistral 7B?
GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral 7B lists at $0.25 and $0.25.
Is GPT-4.1 nano or Mistral 7B better for coding?
Mistral 7B scores higher on coding benchmarks: 25.9 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 nano does, with 1.05M tokens against 8K.
How many benchmarks do GPT-4.1 nano and Mistral 7B share?
19 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mistral 7B has 37.