Model comparison
DeepSeek V4.1 Flash vs MiMo-V2.6-Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 48.5 on the Noometry Index.
Last verified . 19 shared benchmarks.
DeepSeekSummary
- They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and MiMo-V2.6-Flash in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek V4.1 Flash leads 57.9 to 42.2.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 63% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 1M.
Side by side
| DeepSeek V4.1 Flash | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 52.8 | 48.5 |
| Released | 2026-09-09 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 1M | 1.05M |
| Max output | 393K | 131K |
| Input $ / M tokens | $0.15 | $0.14 |
| Output $ / M tokens | $0.60 | $0.28 |
| Results tracked | 37 | 19 |
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Category by category
Coding Too close to call
DeepSeek V4.1 Flash: 52.9 (#32), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | 1619 | 1637 |
| SciCode | 51.9% | 51.3% |
| LMArena Coding | 1506 | 1504 |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), MiMo-V2.6-Flash: —
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 14.3% | 12% |
| LMArena Hard Prompts | 1483 | 1482 |
| NYT Connections (extended) | 89.6% | — |
| 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), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| ProofBench | 54% | 63% |
| LMArena Math | 1477 | 1468 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1506 | 1501 |
| GPQA Diamond | 89.8% | — |
Multimodal MiMo-V2.6-Flash leads
DeepSeek V4.1 Flash: 39.1 (#61), MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | 1277 | 1259 |
| Furniture Assembly | 34.2% | — |
Multilingual Too close to call
DeepSeek V4.1 Flash: 55.0 (#35), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1448 | 1434 |
| LMArena Chinese | 1497 | 1511 |
| LMArena French | 1452 | 1475 |
| LMArena Russian | 1471 | 1409 |
| LMArena Spanish | 1459 | 1456 |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
Instruction Following Too close to call
DeepSeek V4.1 Flash: 77.3 (#26), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1474 | 1463 |
Long Context Too close to call
DeepSeek V4.1 Flash: 45.2 (#47), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1475 | 1463 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1462 | 1455 |
| LMArena Creative Writing | 1435 | 1400 |
| LMArena Multi-Turn | 1457 | 1451 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than MiMo-V2.6-Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 48.5 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Is DeepSeek V4.1 Flash or MiMo-V2.6-Flash better for coding?
They score almost the same on coding (52.9 vs 53.4); test both on your own repository before choosing.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4.1 Flash and MiMo-V2.6-Flash share?
19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and MiMo-V2.6-Flash has 19.