Model comparison
GPT-5.2 Pro vs Mistral Large 4
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 56× 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 Large 4 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 27.4% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- Mistral Large 4 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.2 Pro | Mistral Large 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 52.3 | 43.1 |
| Released | 2025-12-11 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 262K |
| Input $ / M tokens | $21 | $0.68 |
| Output $ / M tokens | $168 | $2.09 |
| Results tracked | 8 | 15 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 48.6 (#57)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | — | 1541 |
| LMArena Coding | — | 1475 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Mistral Large 4: 22.5 (#192)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 79.3% | 27.4% |
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| ARC-AGI-1 | 90.5% | — |
| LMArena Hard Prompts | — | 1444 |
| Epoch Capabilities Index | 155.4 | — |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Mistral Large 4: 40.4 (#91)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| LMArena Math | — | 1488 |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 36.6 (#166)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |
Multilingual Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 52.6 (#82)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |
Instruction Following Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 75.0 (#76)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 43.6 (#89)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Mistral Large 4: 60.4 (#97)
| Benchmark | GPT-5.2 Pro | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is GPT-5.2 Pro better than Mistral Large 4?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 56× 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 Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.2 Pro and Mistral Large 4 share?
1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral Large 4 has 15.