Noometry

Model comparison

GLM-4.7-Flash vs Grok 4

Grok 4 is the stronger model overall, scoring 48.1 to 38.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Grok 4 xAI

48.1

Rank #56 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Grok 4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Grok 4 leads 63.1 to 40.9.
  • The biggest single-benchmark swing is Chess Puzzles: 0% for GLM-4.7-Flash and 28% for Grok 4.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGrok 4
ProviderZ.ai (Zhipu)xAI
Noometry Index38.848.1
Released2026-01-192025-07-09
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2148

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Category by category

Coding Grok 4 leads

GLM-4.7-Flash: 40.6 (#135), Grok 4: 50.3 (#46)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Coding13831408
Aider Polyglot—79.6%
WeirdML—45.7%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, Grok 4: 32.3 (#68)

BenchmarkGLM-4.7-FlashGrok 4
Terminal-Bench—27.2%
Berkeley Function Calling Leaderboard—63%
GDPval—21.1%
Cybench—43%
DeepResearch Bench—47.3%
BALROG—43.6%
LMArena Search—1142
METR Time Horizons—66.6%

Reasoning Grok 4 leads

GLM-4.7-Flash: 20.9 (#229), Grok 4: 36.7 (#65)

BenchmarkGLM-4.7-FlashGrok 4
Chess Puzzles0%28%
LMArena Hard Prompts13561409
ARC-AGI-2—16%
SimpleBench—60.5%
Kagi LLM Benchmark—73.6%
ARC-AGI-1—66.7%
Epoch Capabilities Index—146.44
ForecastBench—60.9

Math Grok 4 leads

GLM-4.7-Flash: 36.1 (#173), Grok 4: 48.4 (#64)

BenchmarkGLM-4.7-FlashGrok 4
OTIS Mock AIME 2024-202558.3%84%
LMArena Math13551422
Omni-MATH—60.3%
FrontierMath (Feb 2025 set)—19.7%
FrontierMath Tier 4 (v1)—2.1%

Knowledge Grok 4 leads

GLM-4.7-Flash: 35.5 (#184), Grok 4: 53.8 (#55)

BenchmarkGLM-4.7-FlashGrok 4
GPQA Diamond60.5%87%
LMArena Expert13571415
MMLU-Pro—85.1%
Confabulations—12.4%
Vectara Hallucination Rate9.3%—
GPQA (HELM)—72.7%

Multimodal Not comparable

GLM-4.7-Flash: —, Grok 4: 33.7 (#94)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Vision—1210
GeoBench—45%

Multilingual Grok 4 leads

GLM-4.7-Flash: 46.5 (#158), Grok 4: 51.8 (#103)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Non-English13301403
LMArena Chinese14031427
LMArena French13321418
LMArena German13371429
LMArena Korean12831377
LMArena Russian13321410
LMArena Spanish13501420
LMArena Japanese—1394

Instruction Following Grok 4 leads

GLM-4.7-Flash: 70.1 (#167), Grok 4: 79.2 (#5)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Instruction Following13271387
IFEval—94.9%

Long Context Grok 4 leads

GLM-4.7-Flash: 40.9 (#148), Grok 4: 63.1 (#4)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Longer Query13451409
Fiction.LiveBench—94.4%

Writing & Preference Grok 4 leads

GLM-4.7-Flash: 47.4 (#210), Grok 4: 58.5 (#116)

BenchmarkGLM-4.7-FlashGrok 4
LMArena Text13511411
LMArena Creative Writing12971397
LMArena Multi-Turn13421416
Short-Story Creative Writing—76.9%
EQ-Bench Creative Writing1125—
WildBench—79.7%

Frequently asked questions

Is GLM-4.7-Flash better than Grok 4?

Grok 4 is the stronger model overall, scoring 48.1 to 38.8 on the Noometry Index.

Is GLM-4.7-Flash or Grok 4 better for coding?

Grok 4 scores higher on coding benchmarks: 50.3 versus 40.6 in the Noometry coding category.

How many benchmarks do GLM-4.7-Flash and Grok 4 share?

19 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Grok 4 has 48.

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