Model comparison

Command R7B vs GLM-5.3-Flash

GLM-5.3-Flash has enough public results to be ranked (#45); Command R7B does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Command R7B Cohere

32.1

Unranked Sparse

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Summary

  • The widest gap is in agentic & tool use, where GLM-5.3-Flash leads 34.3 to 25.9.
  • Command R7B is cheaper at $0.0375 / $0.15 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 128K.

Side by side

Command R7B and GLM-5.3-Flash specifications
Command R7BGLM-5.3-Flash
ProviderCohereZ.ai (Zhipu)
Noometry Index32.149.6
Released2024-12-022026-08-20
WeightsOpenOpen
Context window128K1M
Max output4K131K
Input $ / M tokens$0.0375$0.15
Output $ / M tokens$0.15$0.50
Results tracked136

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Category by category

Coding Not comparable

Command R7B: —, GLM-5.3-Flash: 53.7 (#26)

Coding benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
DeepSWE—63.4%
FrontierCode—31.8%
LMArena WebDev—1614
SciCode—51.6%
LMArena Coding—1506
ALE-Bench—303.55

Agentic & Tool Use GLM-5.3-Flash leads

Command R7B: 25.9, GLM-5.3-Flash: 34.3 (#41)

Agentic & Tool Use benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
APEX-Agents—52.8%
Berkeley Function Calling Leaderboard32.1%—
GDP.pdf—14%

Reasoning Not comparable

Command R7B: —, GLM-5.3-Flash: 31.7 (#69)

Reasoning benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
CritPt—15.4%
Chess Puzzles—14%
LMArena Hard Prompts—1490
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
Epoch Capabilities Index—151.9

Math Not comparable

Command R7B: —, GLM-5.3-Flash: 53.1 (#38)

Math benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
LMArena Math—1499

Knowledge Not comparable

Command R7B: —, GLM-5.3-Flash: 58.4 (#33)

Knowledge benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
GPQA Diamond—90.2%
LMArena Expert—1512

Multimodal Not comparable

Command R7B: —, GLM-5.3-Flash: 42.6 (#25)

Multimodal benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
LMArena Vision—1304

Multilingual Not comparable

Command R7B: —, GLM-5.3-Flash: 56.2 (#24)

Multilingual benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
LMArena Non-English—1462
LMArena Chinese—1529
LMArena French—1495
LMArena German—1457
LMArena Japanese—1420
LMArena Korean—1443
LMArena Russian—1472
LMArena Spanish—1471

Instruction Following Not comparable

Command R7B: —, GLM-5.3-Flash: 77.8 (#17)

Instruction Following benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
LMArena Instruction Following—1480

Long Context Not comparable

Command R7B: —, GLM-5.3-Flash: 45.3 (#41)

Long Context benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
LMArena Longer Query—1479

Writing & Preference Not comparable

Command R7B: —, GLM-5.3-Flash: 65.4 (#49)

Writing & Preference benchmarks
BenchmarkCommand R7BGLM-5.3-Flash
LMArena Text—1471
LMArena Creative Writing—1440
LMArena Multi-Turn—1471

Frequently asked questions

Is Command R7B better than GLM-5.3-Flash?

GLM-5.3-Flash has enough public results to be ranked (#45); Command R7B does not yet, so treat this comparison as directional.

Which is cheaper, Command R7B or GLM-5.3-Flash?

Command R7B is cheaper. It lists at $0.0375 per million input tokens and $0.15 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

Which has the bigger context window?

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

How many benchmarks do Command R7B and GLM-5.3-Flash share?

0 benchmarks have published results for both models. Command R7B has 1 scored results on Noometry and GLM-5.3-Flash has 36.

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