# DeepSeek-V3.1 vs MiMo-V2.6-Flash

> MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 42.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-mimo-v2-6-flash
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and MiMo-V2.6-Flash in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiMo-V2.6-Flash leads 44.8 to 36.3.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 164K.

## Snapshot

| | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 42.2 | 44.4 |
| Rank | 106 | 74 |
| Context | 164K | 1.05M |
| Input $/M | $0.25 | $0.14 |
| Output $/M | $0.95 | $0.28 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- MiMo-V2.6-Flash: 44.3 (#68)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1417 | 1516 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- MiMo-V2.6-Flash: 29.6 (#82)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1481 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- MiMo-V2.6-Flash: 37.4 (#97)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1420 | 1477 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- MiMo-V2.6-Flash: 42.0 (#91)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1403 | 1516 |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- DeepSeek-V3.1: —
- MiMo-V2.6-Flash: 40.2 (#39)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1266 |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- MiMo-V2.6-Flash: 54.6 (#41)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1400 | 1439 |
| LMArena Chinese | 1470 | 1501 |
| LMArena Russian | 1405 | 1424 |
| LMArena French | 1447 | — |
| LMArena German | 1412 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1337 | — |
| LMArena Spanish | 1429 | — |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- MiMo-V2.6-Flash: 77.0 (#33)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1400 | 1463 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- MiMo-V2.6-Flash: 44.8 (#52)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1422 | 1465 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- MiMo-V2.6-Flash: 63.9 (#61)

| Benchmark | DeepSeek-V3.1 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1420 | 1459 |
| LMArena Creative Writing | 1401 | 1408 |
| LMArena Multi-Turn | 1408 | 1460 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 42.2 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1 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-V3.1 lists at $0.25 and $0.95.

### Is DeepSeek-V3.1 or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 44.3 versus 39.8 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 164K.

### How many benchmarks do DeepSeek-V3.1 and MiMo-V2.6-Flash share?

12 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and MiMo-V2.6-Flash has 13.