Model comparison

Command A vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 36.5 on the Noometry Index.

Last verified October 11, 2026. 16 shared benchmarks.

Command A

Cohere

36.5

Rank #215 Confirmed

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

43.8

Rank #84 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 writing & preference, where GLM-5V-Turbo leads 62.5 to 47.6.
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	36.5	43.8
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

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-5V-Turbo leads

Command A: 27.2 (#322), GLM-5V-Turbo: 42.1 (#111)

Coding benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Coding	1330	1466
Aider Polyglot	12%	—
LMArena WebDev	—	1401

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), 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: 18.3 (#283), GLM-5V-Turbo: 29.7 (#89)

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: 36.2 (#171), GLM-5V-Turbo: 39.4 (#106)

Math benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Math	1300	1441

Knowledge GLM-5V-Turbo leads

Command A: 37.1 (#159), GLM-5V-Turbo: 40.6 (#117)

Knowledge benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Expert	1295	1452
Vectara Hallucination Rate	9.3%	—

Multimodal Not comparable

Command A: —, GLM-5V-Turbo: 40.9 (#42)

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

Multilingual GLM-5V-Turbo leads

Command A: 45.3 (#170), GLM-5V-Turbo: 53.0 (#73)

Multilingual benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Non-English	1313	1420
LMArena Chinese	1327	1488
LMArena French	1351	1444
LMArena German	1341	1423
LMArena Korean	1285	1396
LMArena Russian	1314	1431
LMArena Spanish	1347	1450
LMArena Japanese	1285	—

Instruction Following GLM-5V-Turbo leads

Command A: 69.1 (#177), GLM-5V-Turbo: 75.0 (#80)

Instruction Following benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Instruction Following	1309	1423

Long Context GLM-5V-Turbo leads

Command A: 40.6 (#151), GLM-5V-Turbo: 44.0 (#80)

Long Context benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Longer Query	1334	1438

Writing & Preference GLM-5V-Turbo leads

Command A: 47.6 (#208), GLM-5V-Turbo: 62.5 (#73)

Writing & Preference benchmarks
Benchmark	Command A	GLM-5V-Turbo
LMArena Text	1331	1437
LMArena Creative Writing	1319	1416
LMArena Multi-Turn	1339	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 43.8 to 36.5 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: 42.1 versus 27.2 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.