# DeepSeek-V2.5 (Sep 2024) vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-mimo-v2-pro
- Last updated: 2026-10-11
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and MiMo-V2-Pro in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 49.8.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 37.6 | 43.0 |
| Rank | 200 | 103 |
| Context | — | 1.05M |
| Input $/M | — | $0.43 |
| Output $/M | — | $0.87 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- MiMo-V2-Pro: 43.8 (#83)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1309 | 1476 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1433 |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 785.17 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- MiMo-V2-Pro: 22.1 (#206)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- MiMo-V2-Pro: 39.5 (#102)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1288 | 1447 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- MiMo-V2-Pro: 41.4 (#111)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1266 | 1478 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- MiMo-V2-Pro: 52.7 (#81)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1273 | 1416 |
| LMArena Chinese | 1318 | 1456 |
| LMArena French | 1289 | 1469 |
| LMArena German | 1258 | 1417 |
| LMArena Japanese | 1228 | 1366 |
| LMArena Korean | 1209 | 1400 |
| LMArena Russian | 1289 | 1427 |
| LMArena Spanish | 1248 | 1457 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- MiMo-V2-Pro: 76.0 (#49)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1280 | 1445 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- MiMo-V2-Pro: 41.5 (#138)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1301 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- MiMo-V2-Pro: 62.8 (#70)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1294 | 1436 |
| LMArena Creative Writing | 1285 | 1415 |
| LMArena Multi-Turn | 1297 | 1456 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 37.6 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and MiMo-V2-Pro share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and MiMo-V2-Pro has 23.