Model comparison

GLM-4.5V vs Grok 4 Fast

GLM-4.5V and Grok 4 Fast score almost the same on the Noometry Index (39.8 vs 39.4), so choose on price, context window or the category you care about most.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Grok 4 Fast xAI

39.4

Rank #167 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and Grok 4 Fast in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Grok 4 Fast leads 63.2 to 39.6.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 66.1% for Grok 4 Fast.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5V and Grok 4 Fast specifications
GLM-4.5VGrok 4 Fast
ProviderZ.ai (Zhipu)xAI
Noometry Index39.839.4
Released2025-08-112025-09-19
WeightsOpenProprietary
Context window64K—
Max output16K—
Input $ / M tokens$0.60—
Output $ / M tokens$1.80—
Results tracked1530

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), Grok 4 Fast: 32.5 (#271)

Coding benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Coding13471429
LMArena WebDev—1159
WeirdML—42.9%

Agentic & Tool Use Not comparable

GLM-4.5V: —, Grok 4 Fast: 29.5 (#86)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
τ²-bench Banking—15.7%
Cybench—30%
LMArena Search—1171

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), Grok 4 Fast: 22.2 (#201)

Reasoning benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
Kagi LLM Benchmark59.8%66.1%
LMArena Hard Prompts13341412
ARC-AGI-2—5.3%
ARC-AGI-1—48.5%
DTBench—82.7%
Epoch Capabilities Index—144.2
ForecastBench—60.5

Math Grok 4 Fast leads

GLM-4.5V: 37.4 (#159), Grok 4 Fast: 38.9 (#123)

Math benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Math13541419

Knowledge GLM-4.5V leads

GLM-4.5V: 37.5 (#156), Grok 4 Fast: 32.0 (#214)

Knowledge benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Expert13531411
Vectara Hallucination Rate—19.7%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), Grok 4 Fast: —

Multimodal benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Vision1154—

Multilingual Grok 4 Fast leads

GLM-4.5V: 44.6 (#177), Grok 4 Fast: 51.3 (#111)

Multilingual benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Non-English13031396
LMArena Chinese13371457
LMArena Russian12981389
LMArena Spanish13361415
LMArena French—1431
LMArena German—1383
LMArena Japanese—1352
LMArena Korean—1357

Instruction Following Grok 4 Fast leads

GLM-4.5V: 69.2 (#175), Grok 4 Fast: 73.2 (#121)

Instruction Following benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Instruction Following13111387

Long Context Grok 4 Fast leads

GLM-4.5V: 39.6 (#171), Grok 4 Fast: 63.2 (#3)

Long Context benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Longer Query13041415
Fiction.LiveBench—94.4%

Writing & Preference Grok 4 Fast leads

GLM-4.5V: 52.5 (#170), Grok 4 Fast: 60.0 (#102)

Writing & Preference benchmarks
BenchmarkGLM-4.5VGrok 4 Fast
LMArena Text13331407
LMArena Creative Writing12951387
LMArena Multi-Turn13321414

Frequently asked questions

Is GLM-4.5V better than Grok 4 Fast?

GLM-4.5V and Grok 4 Fast score almost the same on the Noometry Index (39.8 vs 39.4), so choose on price, context window or the category you care about most.

Is GLM-4.5V or Grok 4 Fast better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 32.5 in the Noometry coding category.

How many benchmarks do GLM-4.5V and Grok 4 Fast share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Grok 4 Fast has 30.

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