Model comparison

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.

Last verified October 10, 2026. 5 shared benchmarks.

Command A

Cohere

36.5

Rank #215 Confirmed

o3-pro OpenAI

42.9

Rank #105 Confirmed

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.

Side by side

Command A and o3-pro specifications
	Command A	o3-pro
Provider	Cohere	OpenAI
Noometry Index	36.5	42.9
Released	2025-03-13	2025-06-10
Weights	Open	Proprietary
Context window	256K	200K
Max output	8K	100K
Input $ / M tokens	$2.50	$20
Output $ / M tokens	$10	$80
Results tracked	24	12

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Category by category

Coding o3-pro leads

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

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

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), o3-pro: —

Agentic & Tool Use benchmarks
Benchmark	Command A	o3-pro
Berkeley Function Calling Leaderboard	57.1%	—

Reasoning o3-pro leads

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

Reasoning benchmarks
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 Not comparable

Command A: 36.2 (#171), o3-pro: —

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

Knowledge Command A leads

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

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

Multilingual Not comparable

Command A: 45.3 (#170), o3-pro: —

Multilingual benchmarks
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 Not comparable

Command A: 69.1 (#177), o3-pro: —

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

Long Context o3-pro leads

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

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

Writing & Preference o3-pro leads

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

Writing & Preference benchmarks
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	—

Frequently asked questions

Is Command A better than o3-pro?

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.