# DeepSeek-V3.1 vs MiMo-V2-Omni

> DeepSeek-V3.1 and MiMo-V2-Omni score almost the same on the Noometry Index (42.2 vs 42.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and MiMo-V2-Omni in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiMo-V2-Omni leads 44.1 to 36.3.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- MiMo-V2-Omni accepts more context: 262K tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 42.2 | 42.9 |
| Rank | 106 | 91 |
| Context | 164K | 262K |
| Input $/M | $0.25 | $0.14 |
| Output $/M | $0.95 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- MiMo-V2-Omni: 42.7 (#87)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1417 | 1467 |
| WeirdML | 38.4% | — |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- MiMo-V2-Omni: 28.6 (#86)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1445 |
| 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-Omni: 36.4 (#112)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1420 | 1432 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- MiMo-V2-Omni: 39.9 (#114)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1403 | 1449 |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- DeepSeek-V3.1: —
- MiMo-V2-Omni: 37.9 (#62)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- MiMo-V2-Omni: 52.0 (#97)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1400 | 1404 |
| LMArena Chinese | 1470 | 1469 |
| LMArena French | 1447 | 1448 |
| LMArena German | 1412 | 1398 |
| LMArena Japanese | 1374 | 1318 |
| LMArena Korean | 1337 | 1355 |
| LMArena Russian | 1405 | 1412 |
| LMArena Spanish | 1429 | 1432 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- MiMo-V2-Omni: 75.4 (#62)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1400 | 1428 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- MiMo-V2-Omni: 44.1 (#72)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1422 | 1442 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- MiMo-V2-Omni: 61.6 (#83)

| Benchmark | DeepSeek-V3.1 | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1420 | 1424 |
| LMArena Creative Writing | 1401 | 1393 |
| LMArena Multi-Turn | 1408 | 1446 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

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

DeepSeek-V3.1 and MiMo-V2-Omni score almost the same on the Noometry Index (42.2 vs 42.9), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1 or MiMo-V2-Omni?

MiMo-V2-Omni 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-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 39.8 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 164K.

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

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and MiMo-V2-Omni has 18.