Noometry

Model comparison

GLM-5V-Turbo vs Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 43.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

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

43.1

Rank #86 Confirmed

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 4 categories and Grok 4.20 Multi-Agent in 5 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 28.5.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 200K.

Side by side

GLM-5V-TurboGrok 4.20 Multi-Agent
ProviderZ.ai (Zhipu)xAI
Noometry Index43.145.5
Released2026-04-012026-03-09
WeightsProprietaryProprietary
Context window200K1M
Max output131K30K
Input $ / M tokens$1.20$1.25
Output $ / M tokens$4$2.50
Results tracked1920

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Category by category

Coding Too close to call

GLM-5V-Turbo: 41.8 (#105), Grok 4.20 Multi-Agent: 42.4 (#91)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Coding14671458
LMArena WebDev1400—

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, Grok 4.20 Multi-Agent: —

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Search—1204

Reasoning Grok 4.20 Multi-Agent leads

GLM-5V-Turbo: 28.5 (#87), Grok 4.20 Multi-Agent: 42.4 (#44)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Hard Prompts14431448
NYT Connections (extended)—89.6%

Math Too close to call

GLM-5V-Turbo: 36.6 (#109), Grok 4.20 Multi-Agent: 36.6 (#106)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Math14401441

Knowledge Too close to call

GLM-5V-Turbo: 39.9 (#113), Grok 4.20 Multi-Agent: 39.7 (#116)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Expert14511445

Multimodal Too close to call

GLM-5V-Turbo: 40.1 (#41), Grok 4.20 Multi-Agent: 39.8 (#44)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Vision12641259
LMArena Document1416—

Multilingual Grok 4.20 Multi-Agent leads

GLM-5V-Turbo: 53.2 (#69), Grok 4.20 Multi-Agent: 54.6 (#40)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Non-English14201440
LMArena Chinese14881475
LMArena French14431467
LMArena German14221456
LMArena Korean13991416
LMArena Russian14321457
LMArena Spanish14461447
LMArena Japanese—1405

Instruction Following Too close to call

GLM-5V-Turbo: 75.1 (#75), Grok 4.20 Multi-Agent: 75.0 (#80)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Instruction Following14221420

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#76), Grok 4.20 Multi-Agent: 43.7 (#84)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Longer Query14391430

Writing & Preference Grok 4.20 Multi-Agent leads

GLM-5V-Turbo: 62.6 (#69), Grok 4.20 Multi-Agent: 64.1 (#57)

BenchmarkGLM-5V-TurboGrok 4.20 Multi-Agent
LMArena Text14371450
LMArena Creative Writing14141435
LMArena Multi-Turn14321451

Frequently asked questions

Is GLM-5V-Turbo better than Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 43.1 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or Grok 4.20 Multi-Agent better for coding?

They score almost the same on coding (41.8 vs 42.4); test both on your own repository before choosing.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Grok 4.20 Multi-Agent share?

17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Grok 4.20 Multi-Agent has 20.

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