Model comparison
DeepSeek V4.1 Flash vs Magistral Small
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.2 on the Noometry Index.
Last verified . 6 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 6 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 6.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 30% for Magistral Small.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.
Side by side
| DeepSeek V4.1 Flash | Magistral Small | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 30.2 |
| Released | 2026-09-09 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 1M | 128K |
| Max output | 393K | 40K |
| Input $ / M tokens | $0.15 | $0.50 |
| Output $ / M tokens | $0.60 | $1.50 |
| Results tracked | 37 | 10 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Magistral Small: 38.4 (#176)
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| SciCode | 51.9% | 35.2% |
| LMArena WebDev | 1619 | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Magistral Small: 6.8 (#350)
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| CritPt | 14.3% | 0.3% |
| DTBench | 89.9% | 61.3% |
| Epoch Capabilities Index | 154.9 | 133.19 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | — | 5% |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Magistral Small: 26.2 (#261)
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 30% |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Magistral Small: 30.9 (#223)
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| GPQA Diamond | 89.8% | 56.1% |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), Magistral Small: —
| Benchmark | DeepSeek V4.1 Flash | Magistral Small |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Magistral Small?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.2 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Magistral Small?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is DeepSeek V4.1 Flash or Magistral Small better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 128K.
How many benchmarks do DeepSeek V4.1 Flash and Magistral Small share?
6 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Magistral Small has 10.