Noometry

Model comparison

Command R+ vs GLM-5.2

GLM-5.2 is the stronger model overall, scoring 51.1 to 32.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

Command R+ Cohere

32.4

Rank #257 Confirmed

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Command R+ scores higher in 0 categories and GLM-5.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.2 leads 42.3 to 9.2.
  • The biggest single-benchmark swing is SimpleBench: 17.4% for Command R+ and 58.8% for GLM-5.2.
  • GLM-5.2 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2.50 / $10 for Command R+.
  • GLM-5.2 accepts more context: 1M tokens versus 128K.

Side by side

Command R+GLM-5.2
ProviderCohereZ.ai (Zhipu)
Noometry Index32.451.1
Released2024-08-302026-06-13
WeightsOpenOpen
Context window128K1M
Max output4K131K
Input $ / M tokens$2.50$1.40
Output $ / M tokens$10$4.40
Results tracked3451

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Category by category

Coding GLM-5.2 leads

Command R+: 29.1 (#309), GLM-5.2: 51.3 (#41)

BenchmarkCommand R+GLM-5.2
LMArena Coding11871485
SWE-bench Verified—78.7%
DeepSWE—43.8%
FrontierCode—24.5%
LMArena WebDev—1603
SciCode—50.5%
WeirdML—70.1%
BigCodeBench Instruct33.8%—
LiveBench Coding19.1%—
BigCodeBench Complete41.9%—
ALE-Bench—1,047
HumanEval+56.7%—
MBPP+63.5%—

Agentic & Tool Use Not comparable

Command R+: —, GLM-5.2: 32.4 (#63)

BenchmarkCommand R+GLM-5.2
APEX-Agents—45.2%
τ²-bench Banking—37.1%
PostTrainBench—31.7%
GBAEval—0%
Vending-Bench 2—8,314

Reasoning GLM-5.2 leads

Command R+: 9.2 (#344), GLM-5.2: 42.3 (#52)

BenchmarkCommand R+GLM-5.2
SimpleBench17.4%58.8%
LMArena Hard Prompts11861480
DTBench54.9%93.6%
LMCA5%45.8%
Epoch Capabilities Index119.34151.78
ARC-AGI-2—22.8%
Kagi LLM Benchmark—62.6%
NYT Connections (extended)—74.3%
ARC-AGI-1—77%
CritPt—20.9%
Chess Puzzles—21%
EBR-Bench—9.5%
LiveBench Reasoning24.8%—
Mystery Game Puzzles—19%
LiveBench Data Analysis38.1%—
Surface Evolver Bench—55.6%
LiveBench31.8%—

Math GLM-5.2 leads

Command R+: 28.9 (#242), GLM-5.2: 55.7 (#43)

BenchmarkCommand R+GLM-5.2
LMArena Math11881482
FrontierMath (Tiers 1-3)—59.2%
FrontierMath Tier 4—29.3%
MathArena Final-Answer Competitions—67.6%
OTIS Mock AIME 2024-2025—86.4%
ProofBench—35%
LiveBench Math21.3%—

Knowledge GLM-5.2 leads

Command R+: 36.4 (#169), GLM-5.2: 57.1 (#40)

BenchmarkCommand R+GLM-5.2
LMArena Expert11741486
GPQA Diamond—91.9%
SimpleQA Verified—34.2%
Vectara Hallucination Rate6.9%—
MMLU69.4%—

Multilingual GLM-5.2 leads

Command R+: 38.6 (#227), GLM-5.2: 55.8 (#26)

BenchmarkCommand R+GLM-5.2
LMArena Non-English12161459
LMArena Chinese12261519
LMArena French12091479
LMArena German12161468
LMArena Japanese11661451
LMArena Korean11381445
LMArena Russian12271466
LMArena Spanish11891477

Instruction Following GLM-5.2 leads

Command R+: 60.0 (#254), GLM-5.2: 76.9 (#34)

BenchmarkCommand R+GLM-5.2
LMArena Instruction Following11971465
LiveBench Instruction Following57.6%—

Long Context GLM-5.2 leads

Command R+: 37.3 (#219), GLM-5.2: 45.3 (#43)

BenchmarkCommand R+GLM-5.2
LMArena Longer Query12301479

Writing & Preference GLM-5.2 leads

Command R+: 43.5 (#228), GLM-5.2: 70.4 (#21)

BenchmarkCommand R+GLM-5.2
LMArena Text12291470
LMArena Creative Writing12351462
LMArena Multi-Turn12131469
EQ-Bench Creative Writing—1757
EQ-Bench 4—1222
LiveBench Language29.7%—

Frequently asked questions

Is Command R+ better than GLM-5.2?

GLM-5.2 is the stronger model overall, scoring 51.1 to 32.4 on the Noometry Index.

Which is cheaper, Command R+ or GLM-5.2?

GLM-5.2 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Command R+ lists at $2.50 and $10.

Is Command R+ or GLM-5.2 better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 29.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.2 does, with 1M tokens against 128K.

How many benchmarks do Command R+ and GLM-5.2 share?

21 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GLM-5.2 has 51.

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