Model comparison

Command R+ vs GPT-5.6 Luna

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 32.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

Command R+ Cohere

32.4

Rank #257 Confirmed

GPT-5.6 Luna OpenAI

54.6

Rank #30 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Command R+ scores higher in 0 categories and GPT-5.6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 28.9.
  • The biggest single-benchmark swing is LMCA: 5% for Command R+ and 48.5% for GPT-5.6 Luna.
  • GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $2.50 / $10 for Command R+.
  • GPT-5.6 Luna accepts more context: 1.05M tokens versus 128K.
  • Command R+ has downloadable open weights; the other is API-only.

Side by side

Command R+ and GPT-5.6 Luna specifications
Command R+GPT-5.6 Luna
ProviderCohereOpenAI
Noometry Index32.454.6
Released2024-08-302026-07-09
WeightsOpenProprietary
Context window128K1.05M
Max output4K128K
Input $ / M tokens$2.50$0.20
Output $ / M tokens$10$1.20
Results tracked3452

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Category by category

Coding GPT-5.6 Luna leads

Command R+: 29.1 (#309), GPT-5.6 Luna: 54.5 (#28)

Coding benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Coding11871466
DeepSWE—67.2%
FrontierCode—39.8%
CursorBench—35.9%
LMArena WebDev—1519
SciCode—53.6%
WeirdML—60.9%
BigCodeBench Instruct33.8%—
LiveBench Coding19.1%—
BigCodeBench Complete41.9%—
ALE-Bench—1,667
HumanEval+56.7%—
MBPP+63.5%—

Agentic & Tool Use Not comparable

Command R+: —, GPT-5.6 Luna: 34.4 (#45)

Agentic & Tool Use benchmarks
BenchmarkCommand R+GPT-5.6 Luna
APEX-Agents—43%
BALROG—45.6%
GDP.pdf—22.7%
Vending-Bench 2—4,095

Reasoning GPT-5.6 Luna leads

Command R+: 9.2 (#344), GPT-5.6 Luna: 47.6 (#43)

Reasoning benchmarks
BenchmarkCommand R+GPT-5.6 Luna
SimpleBench17.4%46.8%
LMArena Hard Prompts11861451
DTBench54.9%89.1%
LMCA5%48.5%
Epoch Capabilities Index119.34156.39
ARC-AGI-2—59.5%
Kagi LLM Benchmark—49.1%
NYT Connections (extended)—69.4%
ARC-AGI-1—88%
CritPt—20.6%
Chess Puzzles—40%
LiveBench Reasoning24.8%—
Mystery Game Puzzles—21%
LiveBench Data Analysis38.1%—
Surface Evolver Bench—61.9%
LiveBench31.8%—

Math GPT-5.6 Luna leads

Command R+: 28.9 (#242), GPT-5.6 Luna: 77.7 (#14)

Math benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Math11881458
FrontierMath (Tiers 1-3)—82.1%
FrontierMath Tier 4—61%
OTIS Mock AIME 2024-2025—98.3%
ProofBench—60%
LiveBench Math21.3%—

Knowledge GPT-5.6 Luna leads

Command R+: 36.4 (#169), GPT-5.6 Luna: 58.5 (#34)

Knowledge benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Expert11741478
GPQA Diamond—91.6%
SimpleQA Verified—41%
Vectara Hallucination Rate6.9%—
MMLU69.4%—

Multimodal Not comparable

Command R+: —, GPT-5.6 Luna: 42.7 (#28)

Multimodal benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Vision—1258
Blueprint-Bench 2—22.6%
Furniture Assembly—42.5%
LMArena Document—1457

Multilingual GPT-5.6 Luna leads

Command R+: 38.6 (#227), GPT-5.6 Luna: 52.8 (#78)

Multilingual benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Non-English12161417
LMArena Chinese12261470
LMArena French12091456
LMArena German12161454
LMArena Japanese11661411
LMArena Korean11381415
LMArena Russian12271428
LMArena Spanish11891448

Instruction Following GPT-5.6 Luna leads

Command R+: 60.0 (#254), GPT-5.6 Luna: 75.6 (#57)

Instruction Following benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Instruction Following11971437
LiveBench Instruction Following57.6%—

Long Context GPT-5.6 Luna leads

Command R+: 37.3 (#219), GPT-5.6 Luna: 43.9 (#82)

Long Context benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Longer Query12301436

Writing & Preference GPT-5.6 Luna leads

Command R+: 43.5 (#228), GPT-5.6 Luna: 68.0 (#29)

Writing & Preference benchmarks
BenchmarkCommand R+GPT-5.6 Luna
LMArena Text12291431
LMArena Creative Writing12351396
LMArena Multi-Turn12131434
EQ-Bench Creative Writing—1829
EQ-Bench 4—1156
LiveBench Language29.7%—

Frequently asked questions

Is Command R+ better than GPT-5.6 Luna?

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 32.4 on the Noometry Index.

Which is cheaper, Command R+ or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper. It lists at $0.20 per million input tokens and $1.20 per million output tokens; Command R+ lists at $2.50 and $10.

Is Command R+ or GPT-5.6 Luna better for coding?

GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 29.1 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Luna does, with 1.05M tokens against 128K.

How many benchmarks do Command R+ and GPT-5.6 Luna share?

21 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GPT-5.6 Luna has 52.

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