# DeepSeek V4.1 Flash vs MiMo-V2.5

> DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 43.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-mimo-v2-5
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and MiMo-V2.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 27.8.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 16% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 50.3 | 43.0 |
| Rank | 40 | 89 |
| Context | 1M | 1.05M |
| Input $/M | $0.15 | $0.14 |
| Output $/M | $0.60 | $0.28 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.8 (#29)
- MiMo-V2.5: 43.6 (#75)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1620 | 1438 |
| SciCode | 51.9% | 43.1% |
| LMArena Coding | 1511 | 1469 |
| ALE-Bench | 1,092 | 513.95 |

## Reasoning

- DeepSeek V4.1 Flash: 46.2 (#39)
- MiMo-V2.5: 27.8 (#98)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| CritPt | 14.3% | 3.7% |
| LMArena Hard Prompts | 1485 | 1450 |
| NYT Connections (extended) | 89.6% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 155.01 | — |

## Math

- DeepSeek V4.1 Flash: 48.4 (#52)
- MiMo-V2.5: 35.4 (#145)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| ProofBench | 54% | 16% |
| LMArena Math | 1493 | 1436 |

## Knowledge

- DeepSeek V4.1 Flash: 41.6 (#97)
- MiMo-V2.5: 40.2 (#109)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1505 | 1459 |

## Multimodal

- DeepSeek V4.1 Flash: —
- MiMo-V2.5: 39.0 (#53)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- DeepSeek V4.1 Flash: 55.5 (#29)
- MiMo-V2.5: 52.0 (#96)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1452 | 1404 |
| LMArena Chinese | 1506 | 1467 |
| LMArena French | 1448 | 1447 |
| LMArena Russian | 1473 | 1395 |
| LMArena Spanish | 1499 | 1412 |
| LMArena German | — | 1421 |
| LMArena Japanese | — | 1304 |
| LMArena Korean | — | 1363 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.6 (#24)
- MiMo-V2.5: 75.7 (#55)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1475 | 1433 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#46)
- MiMo-V2.5: 44.1 (#69)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1476 | 1444 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.8 (#43)
- MiMo-V2.5: 61.8 (#82)

| Benchmark | DeepSeek V4.1 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1465 | 1427 |
| LMArena Creative Writing | 1436 | 1392 |
| LMArena Multi-Turn | 1460 | 1445 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than MiMo-V2.5?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 43.0 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or MiMo-V2.5?

MiMo-V2.5 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-V2.5 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 43.6 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 1M.

### How many benchmarks do DeepSeek V4.1 Flash and MiMo-V2.5 share?

19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and MiMo-V2.5 has 23.