# Command A vs DeepSeek V4 Pro

> DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-deepseek-v4-pro
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Command A scores higher in 1 category and DeepSeek V4 Pro in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 17.7.
- The biggest single-benchmark swing is LMCA: 10.3% for Command A and 45.5% for DeepSeek V4 Pro.
- DeepSeek V4 Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2.50 / $10 for Command A.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 256K.

## Snapshot

| | Command A | DeepSeek V4 Pro |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 35.9 | 54.2 |
| Rank | 212 | 28 |
| Context | 256K | 1M |
| Input $/M | $2.50 | $0.43 |
| Output $/M | $10 | $0.87 |
| Weights | Open | Open |

## Coding

- Command A: 26.8 (#317)
- DeepSeek V4 Pro: 52.2 (#31)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Coding | 1331 | 1470 |
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| ALE-Bench | — | 1,403 |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- DeepSeek V4 Pro: 32.7 (#54)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Berkeley Function Calling Leaderboard | 57.1% | — |
| Vending-Bench 2 | — | 3,285 |

## Reasoning

- Command A: 17.7 (#276)
- DeepSeek V4 Pro: 56.4 (#22)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 53.5% |
| LMArena Hard Prompts | 1326 | 1461 |
| DTBench | 61.3% | 93.9% |
| LMCA | 10.3% | 45.5% |
| ARC-AGI-2 | — | 61.3% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| Mystery Game Puzzles | — | 43% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.39 |
| ForecastBench | — | 56.1 |

## Math

- Command A: 33.5 (#172)
- DeepSeek V4 Pro: 64.6 (#24)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Math | 1300 | 1455 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |

## Knowledge

- Command A: 36.5 (#157)
- DeepSeek V4 Pro: 59.5 (#28)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 8.6% |
| LMArena Expert | 1295 | 1463 |
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |

## Multilingual

- Command A: 45.5 (#166)
- DeepSeek V4 Pro: 54.5 (#44)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | 1313 | 1438 |
| LMArena Chinese | 1327 | 1486 |
| LMArena French | 1352 | 1473 |
| LMArena German | 1341 | 1458 |
| LMArena Japanese | 1283 | 1448 |
| LMArena Korean | 1285 | 1452 |
| LMArena Russian | 1314 | 1452 |
| LMArena Spanish | 1346 | 1457 |

## Instruction Following

- Command A: 69.3 (#172)
- DeepSeek V4 Pro: 76.3 (#44)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | 1309 | 1448 |

## Long Context

- Command A: 40.6 (#147)
- DeepSeek V4 Pro: 45.0 (#49)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Longer Query | 1334 | 1459 |
| CL-bench Life | — | 13.5% |

## Writing & Preference

- Command A: 47.8 (#204)
- DeepSeek V4 Pro: 65.6 (#45)

| Benchmark | Command A | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | 1331 | 1451 |
| LMArena Creative Writing | 1319 | 1446 |
| EQ-Bench Creative Writing | 1145 | 1553 |
| LMArena Multi-Turn | 1338 | 1467 |
| EQ-Bench 4 | — | 1166 |

## FAQ

### Is Command A better than DeepSeek V4 Pro?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 35.9 on the Noometry Index.

### Which is cheaper, Command A or DeepSeek V4 Pro?

DeepSeek V4 Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or DeepSeek V4 Pro better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 26.8 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4 Pro does, with 1M tokens against 256K.

### How many benchmarks do Command A and DeepSeek V4 Pro share?

22 benchmarks have published results for both models. Command A has 24 scored results on Noometry and DeepSeek V4 Pro has 48.
