Model comparison
Command A vs o1-pro
Command A is the stronger model overall, scoring 36.5 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
CohereSummary
- The widest gap is in knowledge, where Command A leads 37.1 to 29.7.
- 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.
Side by side
| Command A | o1-pro | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 36.5 | 31.5 |
| Released | 2025-03-13 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 256K | 200K |
| Max output | 8K | 100K |
| Input $ / M tokens | $2.50 | $150 |
| Output $ / M tokens | $10 | $600 |
| Results tracked | 24 | 3 |
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Category by category
Coding Not comparable
Command A: 27.2 (#322), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1330 | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning o1-pro leads
Command A: 18.3 (#283), o1-pro: 20.4 (#239)
| 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 Not comparable
Command A: 36.2 (#171), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Math | 1300 | — |
Knowledge Command A leads
Command A: 37.1 (#159), o1-pro: 29.7 (#234)
| Benchmark | Command A | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
Multilingual Not comparable
Command A: 45.3 (#170), o1-pro: —
| Benchmark | Command A | o1-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 Not comparable
Command A: 69.1 (#177), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#151), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Not comparable
Command A: 47.6 (#208), o1-pro: —
| Benchmark | Command A | o1-pro |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Command A better than o1-pro?
Command A is the stronger model overall, scoring 36.5 to 31.5 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.