Noometry

Model comparison

Command R vs GLM-4.5-Air

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.4 on the Noometry Index. Command R costs 1.6× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Command R Cohere

31.4

Rank #272 Confirmed

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Command R scores higher in 0 categories and GLM-4.5-Air in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 38.2.
  • Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • GLM-4.5-Air accepts more context: 131K tokens versus 128K.

Side by side

Command RGLM-4.5-Air
ProviderCohereZ.ai (Zhipu)
Noometry Index31.438.9
Released2024-08-302025-07-20
WeightsOpenOpen
Context window128K131K
Max output4K98K
Input $ / M tokens$0.15$0.20
Output $ / M tokens$0.60$1.10
Results tracked2927

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Category by category

Coding GLM-4.5-Air leads

Command R: 29.3 (#306), GLM-4.5-Air: 33.3 (#259)

BenchmarkCommand RGLM-4.5-Air
LMArena Coding11691397
GSO—2.9%
BigCodeBench Instruct37.1%—
LiveBench Coding17.9%—
BigCodeBench Complete45.2%—

Reasoning GLM-4.5-Air leads

Command R: 13.8 (#331), GLM-4.5-Air: 24.1 (#166)

BenchmarkCommand RGLM-4.5-Air
LMArena Hard Prompts11641379
Kagi LLM Benchmark—43%
LiveBench Reasoning21.9%—
DTBench46.4%—
LiveBench Data Analysis33.3%—
LMCA9.2%—
ForecastBench—59.2
LiveBench27.5%—

Math GLM-4.5-Air leads

Command R: 28.0 (#246), GLM-4.5-Air: 36.2 (#170)

BenchmarkCommand RGLM-4.5-Air
LMArena Math11551396
Omni-MATH—39.1%
LiveBench Math19.4%—

Knowledge GLM-4.5-Air leads

Command R: 31.0 (#221), GLM-4.5-Air: 35.0 (#191)

BenchmarkCommand RGLM-4.5-Air
LMArena Expert11381370
Humanity's Last Exam—8.1%
MMLU-Pro—76.2%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—59.4%
MMLU65.2%—

Multilingual GLM-4.5-Air leads

Command R: 35.7 (#245), GLM-4.5-Air: 49.1 (#135)

BenchmarkCommand RGLM-4.5-Air
LMArena Non-English11741366
LMArena Chinese11821426
LMArena French11621399
LMArena German11761377
LMArena Japanese11431348
LMArena Korean11631308
LMArena Russian11741373
LMArena Spanish11511386

Instruction Following GLM-4.5-Air leads

Command R: 58.1 (#261), GLM-4.5-Air: 69.6 (#171)

BenchmarkCommand RGLM-4.5-Air
LMArena Instruction Following11671354
LiveBench Instruction Following55.6%—
IFEval—81.2%

Long Context GLM-4.5-Air leads

Command R: 36.3 (#231), GLM-4.5-Air: 41.6 (#135)

BenchmarkCommand RGLM-4.5-Air
LMArena Longer Query11981366

Writing & Preference GLM-4.5-Air leads

Command R: 38.2 (#254), GLM-4.5-Air: 55.9 (#139)

BenchmarkCommand RGLM-4.5-Air
LMArena Text11871384
LMArena Creative Writing11701343
LMArena Multi-Turn11631371
WildBench—78.9%
LiveBench Language16.7%—

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 31.4 on the Noometry Index. Command R costs 1.6× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

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

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

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

GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 29.3 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?

17 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GLM-4.5-Air has 27.

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