Model comparison

Command A vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 35.9 on the Noometry Index.

Last verified October 10, 2026. 16 shared benchmarks.

Command A

Cohere

35.9

Rank #212 Confirmed

GLM-5V-Turbo Z.ai (Zhipu)

43.1

Rank #86 Confirmed

Summary

They share 16 benchmarks with published results for both. Command A scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in coding, where GLM-5V-Turbo leads 41.8 to 26.8.
GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2.50 / $10 for Command A.
Command A accepts more context: 256K tokens versus 200K.
Command A has downloadable open weights; the other is API-only.

Side by side

Command A and GLM-5V-Turbo specifications
	Command A	GLM-5V-Turbo
Provider	Cohere	Z.ai (Zhipu)
Noometry Index	35.9	43.1
Released	2025-03-13	2026-04-01
Weights	Open	Proprietary
Context window	256K	200K
Max output	8K	131K
Input $ / M tokens	$2.50	$1.20
Output $ / M tokens	$10	$4
Results tracked	24	19

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Category by category

Coding GLM-5V-Turbo leads

Command A: 26.8 (#317), GLM-5V-Turbo: 41.8 (#105)

Coding benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Coding	1331	1467
Aider Polyglot	12%	—
LMArena WebDev	—	1400

Agentic & Tool Use Not comparable

Command A: 35.7 (#36), GLM-5V-Turbo: —

Agentic & Tool Use benchmarks
Benchmark	Command A	GLM-5V-Turbo
Berkeley Function Calling Leaderboard	57.1%	—

Reasoning GLM-5V-Turbo leads

Command A: 17.7 (#276), GLM-5V-Turbo: 28.5 (#87)

Reasoning benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Hard Prompts	1326	1443
Kagi LLM Benchmark	28.8%	—
DTBench	61.3%	—
LMCA	10.3%	—

Math GLM-5V-Turbo leads

Command A: 33.5 (#172), GLM-5V-Turbo: 36.6 (#109)

Math benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Math	1300	1440

Knowledge GLM-5V-Turbo leads

Command A: 36.5 (#157), GLM-5V-Turbo: 39.9 (#113)

Knowledge benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Expert	1295	1451
Vectara Hallucination Rate	9.3%	—

Multimodal Not comparable

Command A: —, GLM-5V-Turbo: 40.1 (#41)

Multimodal benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Vision	—	1264
LMArena Document	—	1416

Multilingual GLM-5V-Turbo leads

Command A: 45.5 (#166), GLM-5V-Turbo: 53.2 (#69)

Multilingual benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Non-English	1313	1420
LMArena Chinese	1327	1488
LMArena French	1352	1443
LMArena German	1341	1422
LMArena Korean	1285	1399
LMArena Russian	1314	1432
LMArena Spanish	1346	1446
LMArena Japanese	1283	—

Instruction Following GLM-5V-Turbo leads

Command A: 69.3 (#172), GLM-5V-Turbo: 75.1 (#75)

Instruction Following benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Instruction Following	1309	1422

Long Context GLM-5V-Turbo leads

Command A: 40.6 (#147), GLM-5V-Turbo: 44.0 (#76)

Long Context benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Longer Query	1334	1439

Writing & Preference GLM-5V-Turbo leads

Command A: 47.8 (#204), GLM-5V-Turbo: 62.6 (#69)

Writing & Preference benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Text	1331	1437
LMArena Creative Writing	1319	1414
LMArena Multi-Turn	1338	1432
EQ-Bench Creative Writing	1145	—

Frequently asked questions

Is Command A better than GLM-5V-Turbo?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 35.9 on the Noometry Index.

Which is cheaper, Command A or GLM-5V-Turbo?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or GLM-5V-Turbo better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

Command A does, with 256K tokens against 200K.

How many benchmarks do Command A and GLM-5V-Turbo share?

16 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GLM-5V-Turbo has 19.