Noometry

Model comparison

Command R+ vs GLM-4.5-Air

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 32.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Command R+ Cohere

32.4

Rank #257 Confirmed

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Command R+ scores higher in 1 category and GLM-4.5-Air in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.5-Air leads 24.1 to 9.2.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $2.50 / $10 for Command R+.
  • GLM-4.5-Air accepts more context: 131K tokens versus 128K.

Side by side

Command R+GLM-4.5-Air
ProviderCohereZ.ai (Zhipu)
Noometry Index32.438.9
Released2024-08-302025-07-20
WeightsOpenOpen
Context window128K131K
Max output4K98K
Input $ / M tokens$2.50$0.20
Output $ / M tokens$10$1.10
Results tracked3427

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Category by category

Coding GLM-4.5-Air leads

Command R+: 29.1 (#309), GLM-4.5-Air: 33.3 (#259)

BenchmarkCommand R+GLM-4.5-Air
LMArena Coding11871397
GSO—2.9%
BigCodeBench Instruct33.8%—
LiveBench Coding19.1%—
BigCodeBench Complete41.9%—
HumanEval+56.7%—
MBPP+63.5%—

Reasoning GLM-4.5-Air leads

Command R+: 9.2 (#344), GLM-4.5-Air: 24.1 (#166)

BenchmarkCommand R+GLM-4.5-Air
LMArena Hard Prompts11861379
SimpleBench17.4%—
Kagi LLM Benchmark—43%
LiveBench Reasoning24.8%—
DTBench54.9%—
LiveBench Data Analysis38.1%—
LMCA5%—
Epoch Capabilities Index119.34—
ForecastBench—59.2
LiveBench31.8%—

Math GLM-4.5-Air leads

Command R+: 28.9 (#242), GLM-4.5-Air: 36.2 (#170)

BenchmarkCommand R+GLM-4.5-Air
LMArena Math11881396
Omni-MATH—39.1%
LiveBench Math21.3%—

Knowledge Command R+ leads

Command R+: 36.4 (#169), GLM-4.5-Air: 35.0 (#191)

BenchmarkCommand R+GLM-4.5-Air
Vectara Hallucination Rate6.9%9.3%
LMArena Expert11741370
Humanity's Last Exam—8.1%
MMLU-Pro—76.2%
GPQA (HELM)—59.4%
MMLU69.4%—

Multilingual GLM-4.5-Air leads

Command R+: 38.6 (#227), GLM-4.5-Air: 49.1 (#135)

BenchmarkCommand R+GLM-4.5-Air
LMArena Non-English12161366
LMArena Chinese12261426
LMArena French12091399
LMArena German12161377
LMArena Japanese11661348
LMArena Korean11381308
LMArena Russian12271373
LMArena Spanish11891386

Instruction Following GLM-4.5-Air leads

Command R+: 60.0 (#254), GLM-4.5-Air: 69.6 (#171)

BenchmarkCommand R+GLM-4.5-Air
LMArena Instruction Following11971354
LiveBench Instruction Following57.6%—
IFEval—81.2%

Long Context GLM-4.5-Air leads

Command R+: 37.3 (#219), GLM-4.5-Air: 41.6 (#135)

BenchmarkCommand R+GLM-4.5-Air
LMArena Longer Query12301366

Writing & Preference GLM-4.5-Air leads

Command R+: 43.5 (#228), GLM-4.5-Air: 55.9 (#139)

BenchmarkCommand R+GLM-4.5-Air
LMArena Text12291384
LMArena Creative Writing12351343
LMArena Multi-Turn12131371
WildBench—78.9%
LiveBench Language29.7%—

Frequently asked questions

Is Command R+ better than GLM-4.5-Air?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 32.4 on the Noometry Index.

Which is cheaper, Command R+ or GLM-4.5-Air?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Command R+ lists at $2.50 and $10.

Is Command R+ or GLM-4.5-Air better for coding?

GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 29.1 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 128K.

How many benchmarks do Command R+ and GLM-4.5-Air share?

18 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GLM-4.5-Air has 27.

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