Model comparison

Claude Sonnet 4.5 vs Command R

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.4 on the Noometry Index. Command R costs 23× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 19 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Command R Cohere

31.4

Rank #272 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude Sonnet 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 Sonnet 4.5 leads 66.5 to 38.2.
  • The biggest single-benchmark swing is DTBench: 83.2% for Claude Sonnet 4.5 and 46.4% for Command R.
  • Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 200K tokens versus 128K.
  • Command R has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5 and Command R specifications
Claude Sonnet 4.5Command R
ProviderAnthropicCohere
Noometry Index44.131.4
Released2025-09-292024-08-30
WeightsProprietaryOpen
Context window200K128K
Max output64K4K
Input $ / M tokens$3$0.15
Output $ / M tokens$15$0.60
Results tracked7329

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.3 (#61), Command R: 29.3 (#306)

Coding benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Coding14891169
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
SciCode44.7%—
GSO14.7%—
WeirdML47.7%—
BigCodeBench Instruct—37.1%
LiveBench Coding—17.9%
BigCodeBench Complete—45.2%
ALE-Bench796.15—
AlgoTune1.52—

Agentic & Tool Use Not comparable

Claude Sonnet 4.5: 38.3 (#32), Command R: —

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.5Command R
Terminal-Bench46.5%—
Berkeley Function Calling Leaderboard73.2%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#125), Command R: 13.8 (#331)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Hard Prompts14621164
DTBench83.2%46.4%
LMCA38.8%9.2%
ARC-AGI-213.6%—
SimpleBench54.3%—
Kagi LLM Benchmark57.9%—
NYT Connections (extended)37.3%—
ARC-AGI-163.7%—
CritPt1.1%—
Chess Puzzles12%—
EnigmaEval6%—
EBR-Bench2.4%—
LiveBench Reasoning—21.9%
Mystery Game Puzzles17%—
LiveBench Data Analysis—33.3%
Epoch Capabilities Index146.84—
ForecastBench61.9—
LiveBench—27.5%

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 32.3 (#216), Command R: 28.0 (#246)

Math benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Math14491155
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202577.8%—
ProofBench19%—
Omni-MATH55.3%—
LiveBench Math—19.4%
MATH Level 597.7%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Command R: 31.0 (#221)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Expert14821138
GPQA Diamond82.3%—
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
MMLU-Pro86.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)68.6%—
MMLU—65.2%

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Command R: —

Multimodal benchmarks
BenchmarkClaude Sonnet 4.5Command R
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.4 (#69), Command R: 35.7 (#245)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Non-English14251174
LMArena Chinese14591182
LMArena French14581162
LMArena German14271176
LMArena Japanese13901143
LMArena Korean14031163
LMArena Russian14371174
LMArena Spanish14571151

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.0 (#78), Command R: 58.1 (#261)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Instruction Following14591167
LiveBench Instruction Following—55.6%
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Command R: 36.3 (#231)

Long Context benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Longer Query14761198

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Command R: 38.2 (#254)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.5Command R
LMArena Text14391187
LMArena Creative Writing14421170
LMArena Multi-Turn14651163
EQ-Bench Creative Writing1678—
WildBench85.4%—
LiveBench Language—16.7%

Frequently asked questions

Is Claude Sonnet 4.5 better than Command R?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.4 on the Noometry Index. Command R costs 23× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 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 Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Command R better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 29.3 in the Noometry coding category.

Which has the bigger context window?

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

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

19 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Command R has 29.

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