Model comparison
DeepSeek V4.1 Flash vs MiniMax-M3
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.8 on the Noometry Index.
Last verified . 32 shared benchmarks.
Summary
- They share 32 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and MiniMax-M3 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 40.0.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 18% for MiniMax-M3.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
Side by side
| DeepSeek V4.1 Flash | MiniMax-M3 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 52.8 | 43.8 |
| Released | 2026-09-09 | 2026-06-01 |
| Weights | Open | Open |
| Context window | 1M | 1M |
| Max output | 393K | 512K |
| Input $ / M tokens | $0.15 | $0.30 |
| Output $ / M tokens | $0.60 | $1.20 |
| Results tracked | 37 | 41 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), MiniMax-M3: 41.8 (#118)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena WebDev | 1619 | 1482 |
| SciCode | 51.9% | 47.1% |
| LMArena Coding | 1506 | 1469 |
| ALE-Bench | 1,092 | 640.02 |
| FrontierCode | — | 14.7% |
Agentic & Tool Use DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 31.2 (#69), MiniMax-M3: 22.6 (#130)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| APEX-Agents | 39.5% | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| GDP.pdf | 19.8% | — |
| Vending-Bench 2 | — | 2,158 |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), MiniMax-M3: 30.1 (#87)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| NYT Connections (extended) | 89.6% | 65.1% |
| CritPt | 14.3% | 3.7% |
| LMArena Hard Prompts | 1483 | 1447 |
| Mystery Game Puzzles | 43% | 8% |
| DTBench | 89.9% | 78.9% |
| LMCA | 47% | 33.7% |
| Surface Evolver Bench | 46.3% | 55% |
| Epoch Capabilities Index | 154.9 | 146.95 |
| SimpleBench | — | 45.8% |
| Chess Puzzles | — | 14% |
| ForecastBench | — | 61.4 |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), MiniMax-M3: 40.0 (#95)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 71.1% |
| ProofBench | 54% | 18% |
| LMArena Math | 1477 | 1429 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
Knowledge Too close to call
DeepSeek V4.1 Flash: 57.9 (#38), MiniMax-M3: 58.4 (#35)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | 89.8% | 90.9% |
| LMArena Expert | 1506 | 1461 |
Multimodal MiniMax-M3 leads
DeepSeek V4.1 Flash: 39.1 (#61), MiniMax-M3: 40.2 (#51)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena Vision | 1277 | 1253 |
| Furniture Assembly | 34.2% | — |
| LMArena Document | — | 1435 |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), MiniMax-M3: 53.0 (#75)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1448 | 1420 |
| LMArena Chinese | 1497 | 1463 |
| LMArena French | 1452 | 1447 |
| LMArena German | 1484 | 1426 |
| LMArena Japanese | 1412 | 1381 |
| LMArena Korean | 1452 | 1372 |
| LMArena Russian | 1471 | 1428 |
| LMArena Spanish | 1459 | 1432 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), MiniMax-M3: 75.5 (#62)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1474 | 1433 |
Long Context Too close to call
DeepSeek V4.1 Flash: 45.2 (#47), MiniMax-M3: 44.2 (#72)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1475 | 1445 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), MiniMax-M3: 62.1 (#83)
| Benchmark | DeepSeek V4.1 Flash | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1462 | 1433 |
| LMArena Creative Writing | 1435 | 1404 |
| LMArena Multi-Turn | 1457 | 1442 |
| EQ-Bench Creative Writing | 1540 | — |
| EQ-Bench 4 | — | 1150 |
Frequently asked questions
Is DeepSeek V4.1 Flash better than MiniMax-M3?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.8 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or MiniMax-M3?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.
Is DeepSeek V4.1 Flash or MiniMax-M3 better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4.1 Flash and MiniMax-M3 share?
32 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and MiniMax-M3 has 41.