Model comparison
GPT-4.1 mini vs Magistral Medium
Magistral Medium is the stronger model overall, scoring 35.2 to 33.6 on the Noometry Index. GPT-4.1 mini costs 3.9× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Mistral AISummary
- They share 22 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Magistral Medium in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Magistral Medium leads 35.1 to 24.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 48.6% for GPT-4.1 mini and 16.2% for Magistral Medium.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 33.6 | 35.2 |
| Released | 2025-04-14 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.40 | $2 |
| Output $ / M tokens | $1.60 | $5 |
| Results tracked | 47 | 22 |
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Category by category
Coding Magistral Medium leads
GPT-4.1 mini: 30.6 (#293), Magistral Medium: 39.1 (#161)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| SciCode | 40.4% | 39.2% |
| LMArena Coding | 1367 | 1319 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Magistral Medium: —
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning GPT-4.1 mini leads
GPT-4.1 mini: 10.8 (#340), Magistral Medium: 8.6 (#348)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 0% | 0% |
| Kagi LLM Benchmark | 48.6% | 16.2% |
| ARC-AGI-1 | 3.5% | 6.1% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1349 | 1267 |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math Magistral Medium leads
GPT-4.1 mini: 24.1 (#270), Magistral Medium: 35.1 (#189)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Math | 1343 | 1250 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#194), Magistral Medium: 33.5 (#202)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Expert | 1338 | 1223 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Magistral Medium: —
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.7 (#166), Magistral Medium: 39.6 (#224)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1318 | 1232 |
| LMArena Chinese | 1329 | 1227 |
| LMArena French | 1358 | 1267 |
| LMArena German | 1351 | 1248 |
| LMArena Japanese | 1290 | 1175 |
| LMArena Korean | 1298 | 1125 |
| LMArena Russian | 1324 | 1224 |
| LMArena Spanish | 1319 | 1271 |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.7 (#118), Magistral Medium: 66.0 (#211)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1333 | 1254 |
| IFEval | 90.4% | — |
Long Context Magistral Medium leads
GPT-4.1 mini: 31.8 (#275), Magistral Medium: 39.3 (#183)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1344 | 1295 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.6 (#199), Magistral Medium: 46.3 (#219)
| Benchmark | GPT-4.1 mini | Magistral Medium |
|---|---|---|
| LMArena Text | 1340 | 1255 |
| LMArena Creative Writing | 1300 | 1245 |
| LMArena Multi-Turn | 1354 | 1275 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Magistral Medium?
Magistral Medium is the stronger model overall, scoring 35.2 to 33.6 on the Noometry Index. GPT-4.1 mini costs 3.9× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 mini or Magistral Medium?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Magistral Medium lists at $2 and $5.
Is GPT-4.1 mini or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Magistral Medium share?
22 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Magistral Medium has 22.