Model comparison

Command A vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 36.5 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

Command A

Cohere

36.5

Rank #215 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

They share 18 benchmarks with published results for both. Command A scores higher in 3 categories and GLM-4.7-Flash in 5 categories; 4 gaps are clear of the uncertainty.
The widest gap is in coding, where GLM-4.7-Flash leads 40.6 to 27.2.
GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2.50 / $10 for Command A.
Command A accepts more context: 256K tokens versus 200K.

Side by side

Command A and GLM-4.7-Flash specifications
	Command A	GLM-4.7-Flash
Provider	Cohere	Z.ai (Zhipu)
Noometry Index	36.5	38.8
Released	2025-03-13	2026-01-19
Weights	Open	Open
Context window	256K	200K
Max output	8K	131K
Input $ / M tokens	$2.50	$0.06
Output $ / M tokens	$10	$0.40
Results tracked	24	21

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Category by category

Coding GLM-4.7-Flash leads

Command A: 27.2 (#322), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Coding	1330	1383
Aider Polyglot	12%	—

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), GLM-4.7-Flash: —

Agentic & Tool Use benchmarks
Benchmark	Command A	GLM-4.7-Flash
Berkeley Function Calling Leaderboard	57.1%	—

Reasoning GLM-4.7-Flash leads

Command A: 18.3 (#283), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Hard Prompts	1326	1356
Kagi LLM Benchmark	28.8%	—
Chess Puzzles	—	0%
DTBench	61.3%	—
LMCA	10.3%	—

Math Too close to call

Command A: 36.2 (#171), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Math	1300	1355
OTIS Mock AIME 2024-2025	—	58.3%

Knowledge Command A leads

Command A: 37.1 (#159), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
Benchmark	Command A	GLM-4.7-Flash
Vectara Hallucination Rate	9.3%	9.3%
LMArena Expert	1295	1357
GPQA Diamond	—	60.5%

Multilingual GLM-4.7-Flash leads

Command A: 45.3 (#170), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Non-English	1313	1330
LMArena Chinese	1327	1403
LMArena French	1351	1332
LMArena German	1341	1337
LMArena Korean	1285	1283
LMArena Russian	1314	1332
LMArena Spanish	1347	1350
LMArena Japanese	1285	—

Instruction Following Too close to call

Command A: 69.1 (#177), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Instruction Following	1309	1327

Long Context Too close to call

Command A: 40.6 (#151), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Longer Query	1334	1345

Writing & Preference Too close to call

Command A: 47.6 (#208), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
Benchmark	Command A	GLM-4.7-Flash
LMArena Text	1331	1351
LMArena Creative Writing	1319	1297
EQ-Bench Creative Writing	1145	1125
LMArena Multi-Turn	1339	1342

Frequently asked questions

Is Command A better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 36.5 on the Noometry Index.

Which is cheaper, Command A or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 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-4.7-Flash share?

18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GLM-4.7-Flash has 21.