# DeepSeek V4 Flash vs MiMo-V2-Omni

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-mimo-v2-omni
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and MiMo-V2-Omni in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 29.7.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 262K.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 53.6 | 43.6 |
| Rank | 35 | 88 |
| Context | 1M | 262K |
| Input $/M | $0.15 | $0.14 |
| Output $/M | $0.60 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- MiMo-V2-Omni: 43.3 (#89)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1457 | 1466 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- MiMo-V2-Omni: 29.7 (#88)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1445 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |

## Math

- DeepSeek V4 Flash: 60.3 (#37)
- MiMo-V2-Omni: 39.1 (#115)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1427 | 1430 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |

## Knowledge

- DeepSeek V4 Flash: 55.4 (#48)
- MiMo-V2-Omni: 40.5 (#118)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1441 | 1449 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |

## Multimodal

- DeepSeek V4 Flash: —
- MiMo-V2-Omni: 38.6 (#63)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- MiMo-V2-Omni: 51.8 (#102)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1420 | 1404 |
| LMArena Chinese | 1468 | 1465 |
| LMArena French | 1439 | 1447 |
| LMArena German | 1418 | 1399 |
| LMArena Japanese | 1406 | 1317 |
| LMArena Korean | 1384 | 1355 |
| LMArena Russian | 1428 | 1412 |
| LMArena Spanish | 1436 | 1434 |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- MiMo-V2-Omni: 75.2 (#66)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1421 | 1428 |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- MiMo-V2-Omni: 44.1 (#76)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1434 | 1442 |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- MiMo-V2-Omni: 61.4 (#87)

| Benchmark | DeepSeek V4 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1432 | 1423 |
| LMArena Creative Writing | 1403 | 1392 |
| LMArena Multi-Turn | 1449 | 1445 |
| EQ-Bench Creative Writing | 1559 | — |

## FAQ

### Is DeepSeek V4 Flash better than MiMo-V2-Omni?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.6 on the Noometry Index.

### Which is cheaper, DeepSeek V4 Flash 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 V4 Flash lists at $0.15 and $0.60.

### Is DeepSeek V4 Flash or MiMo-V2-Omni better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 43.3 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 262K.

### How many benchmarks do DeepSeek V4 Flash and MiMo-V2-Omni share?

17 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and MiMo-V2-Omni has 18.