Noometry

Model comparison

GLM-4.7 vs Grok-3 mini

GLM-4.7 and Grok-3 mini score almost the same on the Noometry Index (42.0 vs 41.2), so choose on price, context window or the category you care about most.

Last verified . 21 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Grok-3 mini xAI

41.2

Rank #141 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GLM-4.7 scores higher in 6 categories and Grok-3 mini in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-4.7 leads 24.3 to 13.6.
  • The biggest single-benchmark swing is GPQA Diamond: 83.3% for GLM-4.7 and 76.3% for Grok-3 mini.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7Grok-3 mini
ProviderZ.ai (Zhipu)xAI
Noometry Index42.041.2
Released2025-12-222025-04-09
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.60—
Output $ / M tokens$2.20—
Results tracked3635

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), Grok-3 mini: 40.8 (#131)

BenchmarkGLM-4.7Grok-3 mini
LMArena Coding14541379
Aider Polyglot—49.3%
LMArena WebDev1435—
SciCode45.1%—
WeirdML—42.6%
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Grok-3 mini: —

BenchmarkGLM-4.7Grok-3 mini
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), Grok-3 mini: 13.6 (#334)

BenchmarkGLM-4.7Grok-3 mini
LMArena Hard Prompts14431375
Epoch Capabilities Index143.51140.35
ARC-AGI-2—0.4%
SimpleBench47.7%—
Kagi LLM Benchmark—61.3%
ARC-AGI-1—16.5%
CritPt1.7%—
Chess Puzzles6%—

Math Grok-3 mini leads

GLM-4.7: 38.6 (#135), Grok-3 mini: 42.1 (#85)

BenchmarkGLM-4.7Grok-3 mini
OTIS Mock AIME 2024-202583.3%77.8%
LMArena Math14231386
FrontierMath (Feb 2025 set)2.4%5.9%
ProofBench6%—
Omni-MATH—31.8%
MATH Level 5—90.9%
FrontierMath Tier 4 (v1)0%—

Knowledge Too close to call

GLM-4.7: 47.0 (#80), Grok-3 mini: 46.4 (#81)

BenchmarkGLM-4.7Grok-3 mini
GPQA Diamond83.3%76.3%
LMArena Expert14241395
SimpleQA Verified32.2%—
MMLU-Pro—79.9%
Confabulations—10.8%
Vectara Hallucination Rate11.7%—
GPQA (HELM)—67.5%

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), Grok-3 mini: 48.1 (#145)

BenchmarkGLM-4.7Grok-3 mini
LMArena Non-English14171352
LMArena Chinese14951387
LMArena French14321357
LMArena German14241349
LMArena Japanese14391342
LMArena Korean13991335
LMArena Russian14231353
LMArena Spanish14341381

Instruction Following Grok-3 mini leads

GLM-4.7: 74.4 (#95), Grok-3 mini: 78.5 (#9)

BenchmarkGLM-4.7Grok-3 mini
LMArena Instruction Following14111357
IFEval—95.1%

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), Grok-3 mini: 41.0 (#147)

BenchmarkGLM-4.7Grok-3 mini
LMArena Longer Query14321372
Fiction.LiveBench—66.7%
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), Grok-3 mini: 52.5 (#169)

BenchmarkGLM-4.7Grok-3 mini
LMArena Text14351370
LMArena Creative Writing14011342
LMArena Multi-Turn14461355
Short-Story Creative Writing—73.5%
EQ-Bench Creative Writing1413—
WildBench—65.1%

Frequently asked questions

Is GLM-4.7 better than Grok-3 mini?

GLM-4.7 and Grok-3 mini score almost the same on the Noometry Index (42.0 vs 41.2), so choose on price, context window or the category you care about most.

Is GLM-4.7 or Grok-3 mini better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 40.8 in the Noometry coding category.

How many benchmarks do GLM-4.7 and Grok-3 mini share?

21 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Grok-3 mini has 35.

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