Model comparison
GPT-5.4 nano vs Mistral 7B
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 23.0 on the Noometry Index. Mistral 7B costs 1.9× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
- GPT-5.4 nano accepts more context: 400K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Mistral 7B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 41.9 | 23.0 |
| Released | 2026-03-17 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 400K | 8K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.20 | $0.25 |
| Output $ / M tokens | $1.25 | $0.25 |
| Results tracked | 40 | 37 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Mistral 7B: 26.4 (#326)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Coding | 1405 | 1082 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,005 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.7 (#173), Mistral 7B: 13.1 (#336)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| Chess Puzzles | 30% | 0% |
| LMArena Hard Prompts | 1381 | 1067 |
| DTBench | 80.3% | 42.5% |
| Epoch Capabilities Index | 145.81 | 112.21 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Mystery Game Puzzles | 9% | — |
| LMCA | 36.9% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 57.3 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Mistral 7B: 8.1 (#325)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.8% | 0.3% |
| LMArena Math | 1406 | 1085 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| ProofBench | 5% | — |
| MATH Level 5 | — | 3.7% |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
| GSM8K | — | 54.4% |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), Mistral 7B: 7.4 (#311)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| GPQA Diamond | 78.5% | 15.2% |
| LMArena Expert | 1396 | 1036 |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), Mistral 7B: —
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.6 (#140), Mistral 7B: 25.8 (#283)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1359 | 1012 |
| LMArena Chinese | 1392 | 1009 |
| LMArena French | 1396 | 1037 |
| LMArena German | 1367 | 987 |
| LMArena Japanese | 1343 | 878 |
| LMArena Russian | 1363 | 1018 |
| LMArena Spanish | 1371 | 1026 |
| LMArena Korean | 1320 | — |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 71.9 (#144), Mistral 7B: 54.2 (#280)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1362 | 1060 |
Long Context GPT-5.4 nano leads
GPT-5.4 nano: 41.6 (#137), Mistral 7B: 32.2 (#271)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1366 | 1060 |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.7 (#142), Mistral 7B: 30.7 (#286)
| Benchmark | GPT-5.4 nano | Mistral 7B |
|---|---|---|
| LMArena Text | 1372 | 1090 |
| LMArena Creative Writing | 1314 | 1068 |
| LMArena Multi-Turn | 1382 | 1062 |
Frequently asked questions
Is GPT-5.4 nano better than Mistral 7B?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 23.0 on the Noometry Index. Mistral 7B costs 1.9× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 nano or Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.
Is GPT-5.4 nano or Mistral 7B better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 nano does, with 400K tokens against 8K.
How many benchmarks do GPT-5.4 nano and Mistral 7B share?
21 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral 7B has 37.