# DeepSeek LLM 67B vs MiMo-V2-Pro

> MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mimo-v2-pro
- Last updated: 2026-10-11
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and MiMo-V2-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2-Pro leads 41.4 to 7.0.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 24.9 | 43.0 |
| Rank | 347 | 103 |
| Context | — | 1.05M |
| Input $/M | — | $0.43 |
| Output $/M | — | $0.87 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- MiMo-V2-Pro: 43.8 (#83)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1096 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- MiMo-V2-Pro: 22.1 (#206)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 45.9% |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- MiMo-V2-Pro: 39.5 (#102)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1108 | 1447 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- MiMo-V2-Pro: 41.4 (#111)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1478 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- MiMo-V2-Pro: 52.7 (#81)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1073 | 1416 |
| LMArena Chinese | 1132 | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- MiMo-V2-Pro: 76.0 (#49)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1079 | 1445 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- MiMo-V2-Pro: 41.5 (#138)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1092 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- MiMo-V2-Pro: 62.8 (#70)

| Benchmark | DeepSeek LLM 67B | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1105 | 1436 |
| LMArena Creative Writing | 1067 | 1415 |
| LMArena Multi-Turn | 1082 | 1456 |

## FAQ

### Is DeepSeek LLM 67B better than MiMo-V2-Pro?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or MiMo-V2-Pro better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and MiMo-V2-Pro share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and MiMo-V2-Pro has 23.