Model comparison
GPT-5.5 Pro vs Pixtral Large
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 32.2 on the Noometry Index. Pixtral Large costs 23× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 21.7.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 32.2 |
| Released | 2026-04-23 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $30 | $2 |
| Output $ / M tokens | $180 | $6 |
| Results tracked | 14 | 3 |
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Category by category
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Pixtral Large: 21.7 (#218)
| Benchmark | GPT-5.5 Pro | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| EnigmaEval | — | 0.8% |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.07 | — |
Math Not comparable
GPT-5.5 Pro: 84.0 (#10), Pixtral Large: —
| Benchmark | GPT-5.5 Pro | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge Not comparable
GPT-5.5 Pro: 64.1 (#19), Pixtral Large: —
| Benchmark | GPT-5.5 Pro | Pixtral Large |
|---|---|---|
| GPQA Diamond | 93.9% | — |
Multimodal Not comparable
GPT-5.5 Pro: —, Pixtral Large: 30.6 (#111)
| Benchmark | GPT-5.5 Pro | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Pixtral Large: 32.9 (#278)
| Benchmark | GPT-5.5 Pro | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |
Frequently asked questions
Is GPT-5.5 Pro better than Pixtral Large?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 32.2 on the Noometry Index. Pixtral Large costs 23× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do GPT-5.5 Pro and Pixtral Large share?
0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Pixtral Large has 3.