Model comparison
GPT-4.1 nano vs Magistral Medium
Magistral Medium is the stronger model overall, scoring 34.8 to 27.7 on the Noometry Index. GPT-4.1 nano costs 16× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and Magistral Medium in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Magistral Medium leads 39.3 to 23.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 33.3% for GPT-4.1 nano and 16.2% for Magistral Medium.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
- GPT-4.1 nano 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 nano | Magistral Medium | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 27.7 | 34.8 |
| Released | 2025-04-14 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.40 | $5 |
| Results tracked | 38 | 22 |
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Category by category
Coding Magistral Medium leads
GPT-4.1 nano: 23.8 (#325), Magistral Medium: 38.6 (#161)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| SciCode | 25.9% | 39.2% |
| LMArena Coding | 1306 | 1319 |
| Aider Polyglot | 8.9% | — |
| WeirdML | 19% | — |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.3 (#98), Magistral Medium: —
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Too close to call
GPT-4.1 nano: 8.6 (#344), Magistral Medium: 8.7 (#342)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 0% | 0% |
| Kagi LLM Benchmark | 33.3% | 16.2% |
| ARC-AGI-1 | 0% | 6.1% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1286 | 1267 |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 129.62 | — |
Math Magistral Medium leads
GPT-4.1 nano: 25.5 (#246), Magistral Medium: 32.4 (#187)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Math | 1274 | 1249 |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Magistral Medium leads
GPT-4.1 nano: 21.8 (#268), Magistral Medium: 32.9 (#199)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Expert | 1272 | 1222 |
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
GPT-4.1 nano: 28.6 (#108), Magistral Medium: —
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual GPT-4.1 nano leads
GPT-4.1 nano: 41.8 (#200), Magistral Medium: 39.8 (#219)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1260 | 1232 |
| LMArena Chinese | 1270 | 1225 |
| LMArena German | 1288 | 1248 |
| LMArena Japanese | 1199 | 1176 |
| LMArena Russian | 1261 | 1224 |
| LMArena French | — | 1268 |
| LMArena Korean | — | 1125 |
| LMArena Spanish | — | 1269 |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 68.0 (#188), Magistral Medium: 66.2 (#207)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1267 | 1254 |
| IFEval | 84.3% | — |
Long Context Magistral Medium leads
GPT-4.1 nano: 23.7 (#291), Magistral Medium: 39.3 (#178)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1283 | 1295 |
| Fiction.LiveBench | 25% | — |
Writing & Preference Magistral Medium leads
GPT-4.1 nano: 40.7 (#238), Magistral Medium: 46.5 (#214)
| Benchmark | GPT-4.1 nano | Magistral Medium |
|---|---|---|
| LMArena Text | 1285 | 1255 |
| LMArena Creative Writing | 1260 | 1245 |
| LMArena Multi-Turn | 1277 | 1275 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Magistral Medium?
Magistral Medium is the stronger model overall, scoring 34.8 to 27.7 on the Noometry Index. GPT-4.1 nano costs 16× 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 nano or Magistral Medium?
GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Magistral Medium lists at $2 and $5.
Is GPT-4.1 nano or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 38.6 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 nano does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4.1 nano and Magistral Medium share?
19 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Magistral Medium has 22.