# Command A vs o3-pro

> o3-pro is the stronger model overall, scoring 42.9 to 36.5 on the Noometry Index. Command A costs 8.0× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-a-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. Command A scores higher in 1 category and o3-pro in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 40.6.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 84.9% for o3-pro.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $20 / $80 for o3-pro.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | o3-pro |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 42.9 |
| Rank | 215 | 105 |
| Context | 256K | 200K |
| Input $/M | $2.50 | $20 |
| Output $/M | $10 | $80 |
| Weights | Open | Proprietary |

## Coding

- Command A: 27.2 (#322)
- o3-pro: 55.5 (#24)

| Benchmark | Command A | o3-pro |
|---|---|---|
| Aider Polyglot | 12% | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1330 | — |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- o3-pro: —

| Benchmark | Command A | o3-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- o3-pro: 23.8 (#171)

| Benchmark | Command A | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 72.1% |
| DTBench | 61.3% | 86.9% |
| LMCA | 10.3% | 38.5% |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1326 | — |
| Epoch Capabilities Index | — | 147.42 |

## Math

- Command A: 36.2 (#171)
- o3-pro: —

| Benchmark | Command A | o3-pro |
|---|---|---|
| LMArena Math | 1300 | — |

## Knowledge

- Command A: 37.1 (#159)
- o3-pro: 29.5 (#238)

| Benchmark | Command A | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 23.3% |
| Confabulations | — | 14.2% |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.3 (#170)
- o3-pro: —

| Benchmark | Command A | o3-pro |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1351 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1347 | — |

## Instruction Following

- Command A: 69.1 (#177)
- o3-pro: —

| Benchmark | Command A | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1309 | — |

## Long Context

- Command A: 40.6 (#151)
- o3-pro: 72.2 (#1)

| Benchmark | Command A | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1334 | — |

## Writing & Preference

- Command A: 47.6 (#208)
- o3-pro: 57.1 (#133)

| Benchmark | Command A | o3-pro |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |

## FAQ

### Is Command A better than o3-pro?

o3-pro is the stronger model overall, scoring 42.9 to 36.5 on the Noometry Index. Command A costs 8.0× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

### Which is cheaper, Command A or o3-pro?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; o3-pro lists at $20 and $80.

### Is Command A or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do Command A and o3-pro share?

5 benchmarks have published results for both models. Command A has 24 scored results on Noometry and o3-pro has 12.