Model comparison
GPT-5.2 Pro vs Pixtral Large
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 32.2 on the Noometry Index. Pixtral Large costs 19× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 21.7.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 52.3 | 32.2 |
| Released | 2025-12-11 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $21 | $2 |
| Output $ / M tokens | $168 | $6 |
| Results tracked | 8 | 3 |
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Category by category
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Pixtral Large: 21.7 (#218)
| Benchmark | GPT-5.2 Pro | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 54.2% | — |
| SimpleBench | 57.4% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| EnigmaEval | — | 0.8% |
| Epoch Capabilities Index | 155.4 | — |
Math Not comparable
GPT-5.2 Pro: 65.3 (#29), Pixtral Large: —
| Benchmark | GPT-5.2 Pro | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | — |
| FrontierMath Tier 4 | 46% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Multimodal Not comparable
GPT-5.2 Pro: —, Pixtral Large: 30.6 (#111)
| Benchmark | GPT-5.2 Pro | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Writing & Preference Not comparable
GPT-5.2 Pro: —, Pixtral Large: 32.9 (#278)
| Benchmark | GPT-5.2 Pro | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |
Frequently asked questions
Is GPT-5.2 Pro better than Pixtral Large?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 32.2 on the Noometry Index. Pixtral Large costs 19× 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 Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 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 128K.
How many benchmarks do GPT-5.2 Pro and Pixtral Large share?
0 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Pixtral Large has 3.