Model comparison

Command R+ vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 32.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Command R+ Cohere

32.4

Rank #257 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Command R+ scores higher in 0 categories and GLM-5.3-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 9.2.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $2.50 / $10 for Command R+.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 128K.

Side by side

Command R+ and GLM-5.3-Flash specifications
Command R+GLM-5.3-Flash
ProviderCohereZ.ai (Zhipu)
Noometry Index32.451.8
Released2024-08-302026-08-20
WeightsOpenOpen
Context window128K1M
Max output4K131K
Input $ / M tokens$2.50$0.15
Output $ / M tokens$10$0.50
Results tracked3440

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Category by category

Coding GLM-5.3-Flash leads

Command R+: 29.1 (#309), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Coding11871508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
BigCodeBench Instruct33.8%—
LiveBench Coding19.1%—
BigCodeBench Complete41.9%—
ALE-Bench—303.55
HumanEval+56.7%—
MBPP+63.5%—

Agentic & Tool Use Not comparable

Command R+: —, GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
BenchmarkCommand R+GLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Command R+: 9.2 (#344), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Hard Prompts11861491
Epoch Capabilities Index119.34151.88
ARC-AGI-2—65.8%
SimpleBench17.4%—
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
LiveBench Reasoning24.8%—
Mystery Game Puzzles—8%
DTBench54.9%—
LiveBench Data Analysis38.1%—
LMCA5%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
LiveBench31.8%—

Math GLM-5.3-Flash leads

Command R+: 28.9 (#242), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Math11881500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
LiveBench Math21.3%—

Knowledge GLM-5.3-Flash leads

Command R+: 36.4 (#169), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Expert11741513
GPQA Diamond—90.2%
Vectara Hallucination Rate6.9%—
MMLU69.4%—

Multimodal Not comparable

Command R+: —, GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

Command R+: 38.6 (#227), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Non-English12161462
LMArena Chinese12261527
LMArena French12091496
LMArena German12161470
LMArena Japanese11661429
LMArena Korean11381446
LMArena Russian12271469
LMArena Spanish11891471

Instruction Following GLM-5.3-Flash leads

Command R+: 60.0 (#254), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Instruction Following11971478
LiveBench Instruction Following57.6%—

Long Context GLM-5.3-Flash leads

Command R+: 37.3 (#219), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Longer Query12301482

Writing & Preference GLM-5.3-Flash leads

Command R+: 43.5 (#228), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
BenchmarkCommand R+GLM-5.3-Flash
LMArena Text12291471
LMArena Creative Writing12351442
LMArena Multi-Turn12131467
LiveBench Language29.7%—

Frequently asked questions

Is Command R+ better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 32.4 on the Noometry Index.

Which is cheaper, Command R+ or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Command R+ lists at $2.50 and $10.

Is Command R+ or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 29.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

How many benchmarks do Command R+ and GLM-5.3-Flash share?

18 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GLM-5.3-Flash has 40.

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