Model comparison
GPT-4.5 vs Pixtral Large
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. GPT-4.5 scores higher in 2 categories and Pixtral Large in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 32.9.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 32.2 |
| Released | 2025-02-27 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 3 |
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Category by category
Coding Not comparable
GPT-4.5: 42.2 (#109), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1396 | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Pixtral Large leads
GPT-4.5: 13.9 (#330), Pixtral Large: 21.7 (#218)
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| EnigmaEval | 3.2% | 0.8% |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1403 | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Not comparable
GPT-4.5: 32.6 (#211), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
| MATH Level 5 | 78.6% | — |
Knowledge Not comparable
GPT-4.5: 32.5 (#211), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
Multimodal GPT-4.5 leads
GPT-4.5: 37.6 (#71), Pixtral Large: 30.6 (#111)
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| LMArena Vision | 1195 | 1089 |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.5 (#83), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1421 | — |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1419 | — |
Instruction Following Not comparable
GPT-4.5: 72.6 (#134), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#155), Pixtral Large: —
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Pixtral Large: 32.9 (#278)
| Benchmark | GPT-4.5 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1258 | 988 |
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1394 | — |
| Short-Story Creative Writing | 75.6% | — |
| LMArena Multi-Turn | 1444 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Pixtral Large?
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.2 on the Noometry Index.
How many benchmarks do GPT-4.5 and Pixtral Large share?
3 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Pixtral Large has 3.