Model comparison

Command R vs o3-pro

o3-pro is the stronger model overall, scoring 42.9 to 31.4 on the Noometry Index. Command R costs 133× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Command R Cohere

31.4

Rank #272 Confirmed

o3-pro OpenAI

42.9

Rank #105 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Command R 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 36.3.
  • The biggest single-benchmark swing is DTBench: 46.4% for Command R and 86.9% for o3-pro.
  • Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $20 / $80 for o3-pro.
  • o3-pro accepts more context: 200K tokens versus 128K.
  • Command R has downloadable open weights; the other is API-only.

Side by side

Command R and o3-pro specifications
Command Ro3-pro
ProviderCohereOpenAI
Noometry Index31.442.9
Released2024-08-302025-06-10
WeightsOpenProprietary
Context window128K200K
Max output4K100K
Input $ / M tokens$0.15$20
Output $ / M tokens$0.60$80
Results tracked2912

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Category by category

Coding o3-pro leads

Command R: 29.3 (#306), o3-pro: 55.5 (#24)

Coding benchmarks
BenchmarkCommand Ro3-pro
Aider Polyglot—84.9%
WeirdML—58.2%
BigCodeBench Instruct37.1%—
LiveBench Coding17.9%—
LMArena Coding1169—
BigCodeBench Complete45.2%—

Reasoning o3-pro leads

Command R: 13.8 (#331), o3-pro: 23.8 (#171)

Reasoning benchmarks
BenchmarkCommand Ro3-pro
DTBench46.4%86.9%
LMCA9.2%38.5%
ARC-AGI-2—4.9%
Kagi LLM Benchmark—72.1%
ARC-AGI-1—59.3%
LiveBench Reasoning21.9%—
LMArena Hard Prompts1164—
LiveBench Data Analysis33.3%—
Epoch Capabilities Index—147.42
LiveBench27.5%—

Math Not comparable

Command R: 28.0 (#246), o3-pro: —

Math benchmarks
BenchmarkCommand Ro3-pro
LiveBench Math19.4%—
LMArena Math1155—

Knowledge Command R leads

Command R: 31.0 (#221), o3-pro: 29.5 (#238)

Knowledge benchmarks
BenchmarkCommand Ro3-pro
Confabulations—14.2%
Vectara Hallucination Rate—23.3%
LMArena Expert1138—
MMLU65.2%—

Multilingual Not comparable

Command R: 35.7 (#245), o3-pro: —

Multilingual benchmarks
BenchmarkCommand Ro3-pro
LMArena Non-English1174—
LMArena Chinese1182—
LMArena French1162—
LMArena German1176—
LMArena Japanese1143—
LMArena Korean1163—
LMArena Russian1174—
LMArena Spanish1151—

Instruction Following Not comparable

Command R: 58.1 (#261), o3-pro: —

Instruction Following benchmarks
BenchmarkCommand Ro3-pro
LiveBench Instruction Following55.6%—
LMArena Instruction Following1167—

Long Context o3-pro leads

Command R: 36.3 (#231), o3-pro: 72.2 (#1)

Long Context benchmarks
BenchmarkCommand Ro3-pro
Fiction.LiveBench—97.2%
LMArena Longer Query1198—

Writing & Preference o3-pro leads

Command R: 38.2 (#254), o3-pro: 57.1 (#133)

Writing & Preference benchmarks
BenchmarkCommand Ro3-pro
LMArena Text1187—
LMArena Creative Writing1170—
Short-Story Creative Writing—84.4%
LMArena Multi-Turn1163—
LiveBench Language16.7%—

Frequently asked questions

Is Command R better than o3-pro?

o3-pro is the stronger model overall, scoring 42.9 to 31.4 on the Noometry Index. Command R costs 133× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

Which is cheaper, Command R or o3-pro?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; o3-pro lists at $20 and $80.

Is Command R or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 29.3 in the Noometry coding category.

Which has the bigger context window?

o3-pro does, with 200K tokens against 128K.

How many benchmarks do Command R and o3-pro share?

2 benchmarks have published results for both models. Command R has 29 scored results on Noometry and o3-pro has 12.

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