Model comparison
GPT-4.5 vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Mistral Large 4 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mistral Large 4 leads 22.5 to 13.9.
Side by side
| GPT-4.5 | Mistral Large 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.2 | 43.1 |
| Released | 2025-02-27 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.68 |
| Output $ / M tokens | — | $2.09 |
| Results tracked | 42 | 15 |
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Category by category
Coding Mistral Large 4 leads
GPT-4.5: 42.2 (#109), Mistral Large 4: 48.6 (#57)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1396 | 1475 |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1541 |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Mistral Large 4: —
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Mistral Large 4 leads
GPT-4.5: 13.9 (#330), Mistral Large 4: 22.5 (#192)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1444 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| NYT Connections (extended) | — | 27.4% |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Mistral Large 4 leads
GPT-4.5: 32.6 (#211), Mistral Large 4: 40.4 (#91)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1412 | 1488 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Mistral Large 4 leads
GPT-4.5: 32.5 (#211), Mistral Large 4: 36.6 (#166)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1394 | 1447 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 20% |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Mistral Large 4: —
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Too close to call
GPT-4.5: 52.5 (#83), Mistral Large 4: 52.6 (#82)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1413 | 1415 |
| LMArena Chinese | 1421 | 1491 |
| LMArena Russian | 1419 | 1414 |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
Instruction Following Mistral Large 4 leads
GPT-4.5: 72.6 (#134), Mistral Large 4: 75.0 (#76)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1424 |
| LiveBench Instruction Following | 72.3% | — |
Long Context Mistral Large 4 leads
GPT-4.5: 40.4 (#155), Mistral Large 4: 43.6 (#89)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1406 | 1429 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference Mistral Large 4 leads
GPT-4.5: 56.9 (#134), Mistral Large 4: 60.4 (#97)
| Benchmark | GPT-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1417 | 1427 |
| LMArena Creative Writing | 1394 | 1361 |
| LMArena Multi-Turn | 1444 | 1424 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.2 on the Noometry Index.
Is GPT-4.5 or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.2 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Mistral Large 4 share?
12 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mistral Large 4 has 15.