# Command A vs o1-pro

> Command A is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Command A leads 36.5 to 29.3.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $150 / $600 for o1-pro.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | o1-pro |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 31.2 |
| Rank | 212 | 264 |
| Context | 256K | 200K |
| Input $/M | $2.50 | $150 |
| Output $/M | $10 | $600 |
| Weights | Open | Proprietary |

## Coding

- Command A: 26.8 (#317)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1331 | — |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 17.7 (#276)
- o1-pro: 20.2 (#223)

| Benchmark | Command A | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 33.5 (#172)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Math | 1300 | — |

## Knowledge

- Command A: 36.5 (#157)
- o1-pro: 29.3 (#227)

| Benchmark | Command A | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.5 (#166)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1352 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Command A: 69.3 (#172)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1309 | — |

## Long Context

- Command A: 40.6 (#147)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Longer Query | 1334 | — |

## Writing & Preference

- Command A: 47.8 (#204)
- o1-pro: —

| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1338 | — |

## FAQ

### Is Command A better than o1-pro?

Command A is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

### Which is cheaper, Command A or o1-pro?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

Command A does, with 256K tokens against 200K.

### How many benchmarks do Command A and o1-pro share?

0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and o1-pro has 3.