Model comparison
GPT-4.5 vs Magistral Medium
GPT-4.5 is the stronger model overall, scoring 36.9 to 34.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. GPT-4.5 scores higher in 6 categories and Magistral Medium in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.5 leads 52.7 to 39.8.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 36.9 | 34.8 |
| Released | 2025-02-27 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $5 |
| Results tracked | 42 | 22 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 41.8 (#102), Magistral Medium: 38.6 (#161)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Coding | 1397 | 1319 |
| Aider Polyglot | 44.9% | — |
| SciCode | — | 39.2% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.6 (#92), Magistral Medium: —
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning GPT-4.5 leads
GPT-4.5: 14.1 (#320), Magistral Medium: 8.7 (#342)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| ARC-AGI-1 | 10.3% | 6.1% |
| LMArena Hard Prompts | 1404 | 1267 |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 16.2% |
| CritPt | — | 0.3% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Magistral Medium leads
GPT-4.5: 31.0 (#200), Magistral Medium: 32.4 (#187)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Math | 1412 | 1249 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Too close to call
GPT-4.5: 32.4 (#205), Magistral Medium: 32.9 (#199)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1394 | 1222 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.0 (#68), Magistral Medium: —
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.7 (#78), Magistral Medium: 39.8 (#219)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1413 | 1232 |
| LMArena Chinese | 1421 | 1225 |
| LMArena French | 1417 | 1268 |
| LMArena German | 1457 | 1248 |
| LMArena Japanese | 1416 | 1176 |
| LMArena Korean | 1392 | 1125 |
| LMArena Russian | 1419 | 1224 |
| LMArena Spanish | — | 1269 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.8 (#129), Magistral Medium: 66.2 (#207)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1404 | 1254 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#150), Magistral Medium: 39.3 (#178)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1406 | 1295 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 57.1 (#129), Magistral Medium: 46.5 (#214)
| Benchmark | GPT-4.5 | Magistral Medium |
|---|---|---|
| LMArena Text | 1417 | 1255 |
| LMArena Creative Writing | 1394 | 1245 |
| LMArena Multi-Turn | 1444 | 1275 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Magistral Medium?
GPT-4.5 is the stronger model overall, scoring 36.9 to 34.8 on the Noometry Index.
Is GPT-4.5 or Magistral Medium better for coding?
GPT-4.5 scores higher on coding benchmarks: 41.8 versus 38.6 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Magistral Medium share?
18 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Magistral Medium has 22.