Model comparison
DeepSeek V4.1 Flash vs Magistral Medium
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 8.6.
- The biggest single-benchmark swing is CritPt: 14.3% for DeepSeek V4.1 Flash and 0.3% for Magistral Medium.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $5 for Magistral Medium.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.
Side by side
| DeepSeek V4.1 Flash | Magistral Medium | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 35.2 |
| Released | 2026-09-09 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 1M | 262K |
| Max output | 393K | 16K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.60 | $5 |
| Results tracked | 37 | 22 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Magistral Medium: 39.1 (#161)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| SciCode | 51.9% | 39.2% |
| LMArena Coding | 1506 | 1319 |
| LMArena WebDev | 1619 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Magistral Medium: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Magistral Medium: 8.6 (#348)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| CritPt | 14.3% | 0.3% |
| LMArena Hard Prompts | 1483 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | — | 6.1% |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Magistral Medium: 35.1 (#189)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Math | 1477 | 1250 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Magistral Medium: 33.5 (#202)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Expert | 1506 | 1223 |
| GPQA Diamond | 89.8% | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Magistral Medium: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Magistral Medium: 39.6 (#224)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1448 | 1232 |
| LMArena Chinese | 1497 | 1227 |
| LMArena French | 1452 | 1267 |
| LMArena German | 1484 | 1248 |
| LMArena Japanese | 1412 | 1175 |
| LMArena Korean | 1452 | 1125 |
| LMArena Russian | 1471 | 1224 |
| LMArena Spanish | 1459 | 1271 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Magistral Medium: 66.0 (#211)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1474 | 1254 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Magistral Medium: 39.3 (#183)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1475 | 1295 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Magistral Medium: 46.3 (#219)
| Benchmark | DeepSeek V4.1 Flash | Magistral Medium |
|---|---|---|
| LMArena Text | 1462 | 1255 |
| LMArena Creative Writing | 1435 | 1245 |
| LMArena Multi-Turn | 1457 | 1275 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Magistral Medium?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.2 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Magistral Medium?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Magistral Medium lists at $2 and $5.
Is DeepSeek V4.1 Flash or Magistral Medium better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 262K.
How many benchmarks do DeepSeek V4.1 Flash and Magistral Medium share?
19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Magistral Medium has 22.