Model comparison
GPT-5.2 Pro vs Mistral 7B
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.0 on the Noometry Index. Mistral 7B costs 231× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Mistral 7B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 8.1.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Mistral 7B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 52.3 | 23.0 |
| Released | 2025-12-11 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 400K | 8K |
| Max output | 128K | 8K |
| Input $ / M tokens | $21 | $0.25 |
| Output $ / M tokens | $168 | $0.25 |
| Results tracked | 8 | 37 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Mistral 7B: 26.4 (#326)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| BigCodeBench Instruct | — | 19.5% |
| LMArena Coding | — | 1082 |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Mistral 7B: 13.1 (#336)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| Epoch Capabilities Index | 155.4 | 112.21 |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1067 |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Mistral 7B: 8.1 (#325)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
| GSM8K | — | 54.4% |
Knowledge Not comparable
GPT-5.2 Pro: —, Mistral 7B: 7.4 (#311)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| GPQA Diamond | — | 15.2% |
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multilingual Not comparable
GPT-5.2 Pro: —, Mistral 7B: 25.8 (#283)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| LMArena Non-English | — | 1012 |
| LMArena Chinese | — | 1009 |
| LMArena French | — | 1037 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Russian | — | 1018 |
| LMArena Spanish | — | 1026 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Mistral 7B: 54.2 (#280)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | — | 1060 |
Long Context Not comparable
GPT-5.2 Pro: —, Mistral 7B: 32.2 (#271)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| LMArena Longer Query | — | 1060 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Mistral 7B: 30.7 (#286)
| Benchmark | GPT-5.2 Pro | Mistral 7B |
|---|---|---|
| LMArena Text | — | 1090 |
| LMArena Creative Writing | — | 1068 |
| LMArena Multi-Turn | — | 1062 |
Frequently asked questions
Is GPT-5.2 Pro better than Mistral 7B?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.0 on the Noometry Index. Mistral 7B costs 231× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Pro or Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 8K.
How many benchmarks do GPT-5.2 Pro and Mistral 7B share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral 7B has 37.