# Command A vs DeepSeek-V2.5 (Sep 2024)

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-deepseek-v2-5
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Command A scores higher in 5 categories and DeepSeek-V2.5 (Sep 2024) in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 24.5 to 17.7.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 17.8% for DeepSeek-V2.5 (Sep 2024).

## Snapshot

| | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 35.9 | 37.0 |
| Rank | 212 | 197 |
| Context | 256K | — |
| Input $/M | $2.50 | — |
| Output $/M | $10 | — |
| Weights | Open | Open |

## Coding

- Command A: 26.8 (#317)
- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| Aider Polyglot | 12% | 17.8% |
| LMArena Coding | 1331 | 1310 |
| BigCodeBench Instruct | — | 48.6% |
| BigCodeBench Complete | — | 53.2% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 74.1% |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- DeepSeek-V2.5 (Sep 2024): —

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 17.7 (#276)
- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1289 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 33.5 (#172)
- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Math | 1300 | 1289 |

## Knowledge

- Command A: 36.5 (#157)
- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Expert | 1295 | 1266 |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- Command A: 45.5 (#166)
- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Non-English | 1313 | 1273 |
| LMArena Chinese | 1327 | 1317 |
| LMArena French | 1352 | 1288 |
| LMArena German | 1341 | 1258 |
| LMArena Japanese | 1283 | 1228 |
| LMArena Korean | 1285 | 1209 |
| LMArena Russian | 1314 | 1289 |
| LMArena Spanish | 1346 | 1248 |

## Instruction Following

- Command A: 69.3 (#172)
- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Instruction Following | 1309 | 1280 |

## Long Context

- Command A: 40.6 (#147)
- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Longer Query | 1334 | 1301 |

## Writing & Preference

- Command A: 47.8 (#204)
- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)

| Benchmark | Command A | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Text | 1331 | 1294 |
| LMArena Creative Writing | 1319 | 1285 |
| LMArena Multi-Turn | 1338 | 1297 |
| EQ-Bench Creative Writing | 1145 | — |

## FAQ

### Is Command A better than DeepSeek-V2.5 (Sep 2024)?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 35.9 on the Noometry Index.

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

DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.3 versus 26.8 in the Noometry coding category.

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

18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and DeepSeek-V2.5 (Sep 2024) has 22.