# Command A vs o1

> o1 is the stronger model overall, scoring 40.6 to 35.9 on the Noometry Index. Command A costs 6.0× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-a-vs-o1
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Command A scores higher in 1 category and o1 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where o1 leads 45.7 to 26.8.
- The biggest single-benchmark swing is Aider Polyglot: 12% for Command A and 61.7% for o1.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $15 / $60 for o1.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Command A | o1 |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 35.9 | 40.6 |
| Rank | 212 | 140 |
| Context | 256K | 200K |
| Input $/M | $2.50 | $15 |
| Output $/M | $10 | $60 |
| Weights | Open | Proprietary |

## Coding

- Command A: 26.8 (#317)
- o1: 45.7 (#64)

| Benchmark | Command A | o1 |
|---|---|---|
| Aider Polyglot | 12% | 61.7% |
| LMArena Coding | 1331 | 1367 |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- o1: 24.3 (#111)

| Benchmark | Command A | o1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |

## Reasoning

- Command A: 17.7 (#276)
- o1: 27.5 (#103)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1372 |
| DTBench | 61.3% | 74.7% |
| LMCA | 10.3% | 22.3% |
| SimpleBench | — | 41.7% |
| Kagi LLM Benchmark | 28.8% | — |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| LiveBench Data Analysis | — | 65.5% |
| Epoch Capabilities Index | — | 141.92 |
| LiveBench | — | 75.7% |

## Math

- Command A: 33.5 (#172)
- o1: 34.9 (#150)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Math | 1300 | 1388 |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |

## Knowledge

- Command A: 36.5 (#157)
- o1: 41.5 (#101)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Expert | 1295 | 1362 |
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- Command A: —
- o1: 33.6 (#87)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- Command A: 45.5 (#166)
- o1: 48.8 (#137)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Non-English | 1313 | 1359 |
| LMArena Chinese | 1327 | 1394 |
| LMArena French | 1352 | 1343 |
| LMArena German | 1341 | 1337 |
| LMArena Japanese | 1283 | 1346 |
| LMArena Korean | 1285 | 1396 |
| LMArena Russian | 1314 | 1356 |
| LMArena Spanish | 1346 | 1345 |

## Instruction Following

- Command A: 69.3 (#172)
- o1: 75.0 (#82)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Instruction Following | 1309 | 1368 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Command A: 40.6 (#147)
- o1: 50.3 (#9)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Longer Query | 1334 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Command A: 47.8 (#204)
- o1: 55.8 (#139)

| Benchmark | Command A | o1 |
|---|---|---|
| LMArena Text | 1331 | 1366 |
| LMArena Creative Writing | 1319 | 1347 |
| LMArena Multi-Turn | 1338 | 1368 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1145 | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is Command A better than o1?

o1 is the stronger model overall, scoring 40.6 to 35.9 on the Noometry Index. Command A costs 6.0× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

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

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; o1 lists at $15 and $60.

### Is Command A or o1 better for coding?

o1 scores higher on coding benchmarks: 45.7 versus 26.8 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 o1 share?

20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and o1 has 52.