Noometry

Model comparison

GLM-4.7-Flash vs Grok-2 (Dec 2024)

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Grok-2 (Dec 2024) in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 20.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 11.5% for Grok-2 (Dec 2024).
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGrok-2 (Dec 2024)
ProviderZ.ai (Zhipu)xAI
Noometry Index38.833.7
Released2026-01-192024-08-13
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2134

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Grok-2 (Dec 2024): 33.3 (#258)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Coding13831287
WeirdML—22.2%
LiveBench Coding—46.4%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), Grok-2 (Dec 2024): 16.9 (#299)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Hard Prompts13561272
SimpleBench—22.7%
Chess Puzzles0%—
LiveBench Reasoning—54.8%
DTBench—65.2%
LiveBench Data Analysis—54.5%
Epoch Capabilities Index—130.48
LiveBench—54.3%

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Grok-2 (Dec 2024): 20.8 (#284)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
OTIS Mock AIME 2024-202558.3%11.5%
LMArena Math13551283
LiveBench Math—54.9%
MATH Level 5—63.5%
FrontierMath (Feb 2025 set)—0.7%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), Grok-2 (Dec 2024): 29.8 (#233)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
GPQA Diamond60.5%53.8%
LMArena Expert13571254
Confabulations—20.1%
Vectara Hallucination Rate9.3%—

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Grok-2 (Dec 2024): 43.1 (#188)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Non-English13301282
LMArena Chinese14031289
LMArena French13321318
LMArena German13371287
LMArena Korean12831237
LMArena Russian13321286
LMArena Spanish13501281
LMArena Japanese—1244

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), Grok-2 (Dec 2024): 66.9 (#202)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Instruction Following13271270
LiveBench Instruction Following—69.6%

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#148), Grok-2 (Dec 2024): 38.8 (#190)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Longer Query13451276

Writing & Preference Grok-2 (Dec 2024) leads

GLM-4.7-Flash: 47.4 (#210), Grok-2 (Dec 2024): 48.6 (#198)

BenchmarkGLM-4.7-FlashGrok-2 (Dec 2024)
LMArena Text13511305
LMArena Creative Writing12971284
LMArena Multi-Turn13421290
Short-Story Creative Writing—63.6%
EQ-Bench Creative Writing1125—
LiveBench Language—45.6%

Frequently asked questions

Is GLM-4.7-Flash better than Grok-2 (Dec 2024)?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.7 on the Noometry Index.

Is GLM-4.7-Flash or Grok-2 (Dec 2024) better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 33.3 in the Noometry coding category.

How many benchmarks do GLM-4.7-Flash and Grok-2 (Dec 2024) share?

18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Grok-2 (Dec 2024) has 34.

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