Model comparison

GLM-4.6 vs Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 41.4 on the Noometry Index. GLM-4.6 costs 1.6× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Summary

They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 0 categories and Grok 4.20 Multi-Agent in 8 categories; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 23.7.
GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 205K.
GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6 and Grok 4.20 Multi-Agent specifications
	GLM-4.6	Grok 4.20 Multi-Agent
Provider	Z.ai (Zhipu)	xAI
Noometry Index	41.4	46.2
Released	2025-09-30	2026-03-09
Weights	Open	Proprietary
Context window	205K	1M
Max output	131K	30K
Input $ / M tokens	$0.60	$1.25
Output $ / M tokens	$2.20	$2.50
Results tracked	29	20

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Category by category

Coding Grok 4.20 Multi-Agent leads

GLM-4.6: 40.1 (#148), Grok 4.20 Multi-Agent: 43.0 (#92)

Coding benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Coding	1449	1457
SWE-bench Verified (bash only)	55.4%	—
LMArena WebDev	1340	—
SciCode	38.4%	—
ALE-Bench	340.82	—

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Grok 4.20 Multi-Agent: —

Agentic & Tool Use benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
Terminal-Bench	24.5%	—
Berkeley Function Calling Leaderboard	72.4%	—
LMArena Search	—	1204

Reasoning Grok 4.20 Multi-Agent leads

GLM-4.6: 23.7 (#172), Grok 4.20 Multi-Agent: 43.9 (#48)

Reasoning benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Hard Prompts	1440	1448
Kagi LLM Benchmark	47.4%	—
NYT Connections (extended)	—	89.6%
CritPt	1.1%	—

Math Too close to call

GLM-4.6: 39.1 (#111), Grok 4.20 Multi-Agent: 39.4 (#104)

Math benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Math	1432	1442
FrontierMath (Feb 2025 set)	3.8%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge Too close to call

GLM-4.6: 40.2 (#124), Grok 4.20 Multi-Agent: 40.4 (#119)

Knowledge benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Expert	1431	1445
Vectara Hallucination Rate	9.5%	—

Multimodal Not comparable

GLM-4.6: —, Grok 4.20 Multi-Agent: 40.5 (#48)

Multimodal benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Vision	—	1259

Multilingual Too close to call

GLM-4.6: 53.5 (#66), Grok 4.20 Multi-Agent: 54.4 (#43)

Multilingual benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Non-English	1426	1440
LMArena Chinese	1499	1475
LMArena French	1459	1466
LMArena German	1447	1456
LMArena Japanese	1393	1405
LMArena Korean	1400	1416
LMArena Russian	1419	1457
LMArena Spanish	1436	1447

Instruction Following Too close to call

GLM-4.6: 74.3 (#98), Grok 4.20 Multi-Agent: 74.8 (#84)

Instruction Following benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Instruction Following	1410	1420

Long Context Too close to call

GLM-4.6: 43.4 (#94), Grok 4.20 Multi-Agent: 43.7 (#88)

Long Context benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Longer Query	1422	1431

Writing & Preference Grok 4.20 Multi-Agent leads

GLM-4.6: 61.1 (#90), Grok 4.20 Multi-Agent: 64.0 (#59)

Writing & Preference benchmarks
Benchmark	GLM-4.6	Grok 4.20 Multi-Agent
LMArena Text	1440	1450
LMArena Creative Writing	1411	1436
LMArena Multi-Turn	1427	1452
EQ-Bench Creative Writing	1411	—

Frequently asked questions

Is GLM-4.6 better than Grok 4.20 Multi-Agent?

Which is cheaper, GLM-4.6 or Grok 4.20 Multi-Agent?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

Is GLM-4.6 or Grok 4.20 Multi-Agent better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 205K.

How many benchmarks do GLM-4.6 and Grok 4.20 Multi-Agent share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Grok 4.20 Multi-Agent has 20.