Model comparison
GPT-4.1 vs Magistral Medium
GPT-4.1 and Magistral Medium score almost the same on the Noometry Index (35.7 vs 34.8), so choose on price, context window or the category you care about most.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Magistral Medium in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.8 to 46.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 52.3% for GPT-4.1 and 16.2% for Magistral Medium.
- Magistral Medium is cheaper at $2 / $5 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 128K.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 35.7 | 34.8 |
| Released | 2025-04-14 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $8 | $5 |
| Results tracked | 52 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Medium leads
GPT-4.1: 34.2 (#228), Magistral Medium: 38.6 (#161)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Coding | 1391 | 1319 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| SciCode | — | 39.2% |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use Not comparable
GPT-4.1: 34.4 (#40), Magistral Medium: —
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning GPT-4.1 leads
GPT-4.1: 11.7 (#334), Magistral Medium: 8.7 (#342)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 0.4% | 0% |
| Kagi LLM Benchmark | 52.3% | 16.2% |
| ARC-AGI-1 | 5.5% | 6.1% |
| LMArena Hard Prompts | 1384 | 1267 |
| SimpleBench | 27% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.79 | — |
| ForecastBench | 61.5 | — |
Math Magistral Medium leads
GPT-4.1: 21.4 (#269), Magistral Medium: 32.4 (#187)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Math | 1369 | 1249 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.0 (#152), Magistral Medium: 32.9 (#199)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1364 | 1222 |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal Not comparable
GPT-4.1: 37.5 (#66), Magistral Medium: —
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.6 (#128), Magistral Medium: 39.8 (#219)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1370 | 1232 |
| LMArena Chinese | 1382 | 1225 |
| LMArena French | 1383 | 1268 |
| LMArena German | 1380 | 1248 |
| LMArena Japanese | 1320 | 1176 |
| LMArena Korean | 1339 | 1125 |
| LMArena Russian | 1377 | 1224 |
| LMArena Spanish | 1375 | 1269 |
Instruction Following GPT-4.1 leads
GPT-4.1: 71.5 (#148), Magistral Medium: 66.2 (#207)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1367 | 1254 |
| IFEval | 83.8% | — |
Long Context Too close to call
GPT-4.1: 40.0 (#158), Magistral Medium: 39.3 (#178)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1385 | 1295 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.8 (#120), Magistral Medium: 46.5 (#214)
| Benchmark | GPT-4.1 | Magistral Medium |
|---|---|---|
| LMArena Text | 1383 | 1255 |
| LMArena Creative Writing | 1363 | 1245 |
| LMArena Multi-Turn | 1398 | 1275 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than Magistral Medium?
GPT-4.1 and Magistral Medium score almost the same on the Noometry Index (35.7 vs 34.8), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 or Magistral Medium?
Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; GPT-4.1 lists at $2 and $8.
Is GPT-4.1 or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 38.6 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4.1 and Magistral Medium share?
20 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Magistral Medium has 22.