Model comparison

Claude Opus 4.5 vs Command R

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.4 on the Noometry Index. Command R costs 38× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 19 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

Command R Cohere

31.4

Rank #272 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude Opus 4.5 scores higher in 8 categories and Command R in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Claude Opus 4.5 leads 68.1 to 38.2.
  • The biggest single-benchmark swing is DTBench: 89.9% for Claude Opus 4.5 and 46.4% for Command R.
  • Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 128K.
  • Command R has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5 and Command R specifications
Claude Opus 4.5Command R
ProviderAnthropicCohere
Noometry Index50.531.4
Released2025-11-012024-08-30
WeightsProprietaryOpen
Context window200K128K
Max output64K4K
Input $ / M tokens$5$0.15
Output $ / M tokens$25$0.60
Results tracked6929

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), Command R: 29.3 (#306)

Coding benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Coding15041169
SWE-bench Verified76.7%—
SWE-bench Verified (bash only)76.8%—
LMArena WebDev1494—
SWE-bench Multilingual70.7%—
GSO26.5%—
WeirdML63.7%—
BigCodeBench Instruct—37.1%
LiveBench Coding—17.9%
BigCodeBench Complete—45.2%
ALE-Bench1,025—
AlgoTune1.77—

Agentic & Tool Use Not comparable

Claude Opus 4.5: 47.3 (#12), Command R: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.5Command R
Terminal-Bench63.1%—
Berkeley Function Calling Leaderboard77.5%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
Cybench82%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), Command R: 13.8 (#331)

Reasoning benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Hard Prompts14761164
DTBench89.9%46.4%
LMCA44.5%9.2%
ARC-AGI-237.6%—
SimpleBench62%—
Kagi LLM Benchmark80.2%—
NYT Connections (extended)52.5%—
ARC-AGI-180%—
Chess Puzzles12%—
EnigmaEval11.9%—
EBR-Bench14.3%—
LiveBench Reasoning—21.9%
Mystery Game Puzzles22%—
LiveBench Data Analysis—33.3%
Epoch Capabilities Index150.09—
ForecastBench60.7—
LiveBench—27.5%

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), Command R: 28.0 (#246)

Math benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Math14631155
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202586.1%—
ProofBench36%—
LiveBench Math—19.4%
FrontierMath (Feb 2025 set)20.7%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), Command R: 31.0 (#221)

Knowledge benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Expert14871138
GPQA Diamond86%—
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
Vectara Hallucination Rate10.9%—
MMLU—65.2%

Multimodal Not comparable

Claude Opus 4.5: 31.4 (#107), Command R: —

Multimodal benchmarks
BenchmarkClaude Opus 4.5Command R
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), Command R: 35.7 (#245)

Multilingual benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Non-English14381174
LMArena Chinese14701182
LMArena French14711162
LMArena German14491176
LMArena Japanese14161143
LMArena Korean14241163
LMArena Russian14471174
LMArena Spanish14581151

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), Command R: 58.1 (#261)

Instruction Following benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Instruction Following14781167
LiveBench Instruction Following—55.6%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), Command R: 36.3 (#231)

Long Context benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Longer Query14801198
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), Command R: 38.2 (#254)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.5Command R
LMArena Text14511187
LMArena Creative Writing14451170
LMArena Multi-Turn14661163
EQ-Bench Creative Writing1687—
LiveBench Language—16.7%

Frequently asked questions

Is Claude Opus 4.5 better than Command R?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.4 on the Noometry Index. Command R costs 38× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.5 or Command R?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or Command R better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 29.3 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 128K.

How many benchmarks do Claude Opus 4.5 and Command R share?

19 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Command R has 29.

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