# DeepSeek LLM 67B vs MiniMax-M2

> MiniMax-M2 is the stronger model overall, scoring 37.4 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-minimax-m2
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and MiniMax-M2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M2 leads 37.0 to 7.0.

## Snapshot

| | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 24.9 | 37.4 |
| Rank | 347 | 204 |
| Context | — | 205K |
| Input $/M | — | $0.30 |
| Output $/M | — | $1.20 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- MiniMax-M2: 39.3 (#159)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Coding | 1096 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| LMArena WebDev | — | 1297 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- MiniMax-M2: 25.1 (#109)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| Vending-Bench 2 | — | 160.6 |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- MiniMax-M2: 19.4 (#258)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1357 |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- MiniMax-M2: 37.3 (#160)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1108 | 1352 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- MiniMax-M2: 37.0 (#163)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1337 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- MiniMax-M2: 45.3 (#171)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1073 | 1313 |
| LMArena Chinese | 1132 | 1366 |
| LMArena French | — | 1335 |
| LMArena German | — | 1355 |
| LMArena Russian | — | 1331 |
| LMArena Spanish | — | 1326 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- MiniMax-M2: 70.2 (#166)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1079 | 1328 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- MiniMax-M2: 40.5 (#153)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1092 | 1331 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- MiniMax-M2: 53.0 (#162)

| Benchmark | DeepSeek LLM 67B | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1105 | 1340 |
| LMArena Creative Writing | 1067 | 1286 |
| LMArena Multi-Turn | 1082 | 1361 |

## FAQ

### Is DeepSeek LLM 67B better than MiniMax-M2?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or MiniMax-M2 better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and MiniMax-M2 share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and MiniMax-M2 has 21.