Noometry

Model comparison

GLM-5.3 vs Grok 4.7

GLM-5.3 is the stronger model overall, scoring 54.8 to 53.1 on the Noometry Index.

Last verified . 35 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Summary

  • They share 35 benchmarks with published results for both. GLM-5.3 scores higher in 6 categories and Grok 4.7 in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.3 leads 75.7 to 70.0.
  • The biggest single-benchmark swing is Chess Puzzles: 21% for GLM-5.3 and 38% for Grok 4.7.
  • GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $2 / $6 for Grok 4.7.
  • GLM-5.3 accepts more context: 1M tokens versus 500K.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3Grok 4.7
ProviderZ.ai (Zhipu)xAI
Noometry Index54.853.1
Released2026-08-142026-09-21
WeightsOpenProprietary
Context window1M500K
Max output131K500K
Input $ / M tokens$1.40$2
Output $ / M tokens$4.40$6
Results tracked4239

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Grok 4.7: 58.0 (#18)

BenchmarkGLM-5.3Grok 4.7
FrontierCode40.1%47.6%
CursorBench42.6%46.3%
LMArena WebDev16221639
FrontierSWE30.2%29.5%
SciCode59%57.8%
LMArena Coding14961427
DeepSWE69%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Too close to call

GLM-5.3: 36.4 (#38), Grok 4.7: 36.7 (#37)

BenchmarkGLM-5.3Grok 4.7
APEX-Agents56.6%54.6%
Vending-Bench 28,16410,537
GDP.pdf—22.8%

Reasoning Grok 4.7 leads

GLM-5.3: 46.1 (#46), Grok 4.7: 49.1 (#40)

BenchmarkGLM-5.3Grok 4.7
NYT Connections (extended)74.2%76.8%
CritPt19.1%18%
Chess Puzzles21%38%
LMArena Hard Prompts14891413
Mystery Game Puzzles33%29%
DTBench87.7%96%
LMCA55.5%49.4%
Epoch Capabilities Index155.61153.53
Bench to the Future 30.15—

Math GLM-5.3 leads

GLM-5.3: 62.3 (#33), Grok 4.7: 57.8 (#39)

BenchmarkGLM-5.3Grok 4.7
FrontierMath (Tiers 1-3)68.8%53%
FrontierMath Tier 429.3%17.1%
OTIS Mock AIME 2024-202591.1%98.1%
ProofBench49%34%
LMArena Math14891407

Knowledge Grok 4.7 leads

GLM-5.3: 58.3 (#37), Grok 4.7: 62.8 (#22)

BenchmarkGLM-5.3Grok 4.7
GPQA Diamond90.9%92.7%
SimpleQA Verified41%56%
LMArena Expert15161422

Multimodal Not comparable

GLM-5.3: —, Grok 4.7: 35.5 (#87)

BenchmarkGLM-5.3Grok 4.7
LMArena Vision—1228
Blueprint-Bench 2—32.5%
Furniture Assembly—20.8%

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Grok 4.7: 50.8 (#116)

BenchmarkGLM-5.3Grok 4.7
LMArena Non-English14571389
LMArena Chinese15281455
LMArena French14991455
LMArena Russian14631397
LMArena Spanish14601400
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Grok 4.7: 74.1 (#105)

BenchmarkGLM-5.3Grok 4.7
LMArena Instruction Following14771404

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), Grok 4.7: 43.1 (#104)

BenchmarkGLM-5.3Grok 4.7
LMArena Longer Query14821413

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Grok 4.7: 70.0 (#24)

BenchmarkGLM-5.3Grok 4.7
LMArena Text14711399
LMArena Creative Writing14571391
EQ-Bench Creative Writing20752007
LMArena Multi-Turn14721393

Frequently asked questions

Is GLM-5.3 better than Grok 4.7?

GLM-5.3 is the stronger model overall, scoring 54.8 to 53.1 on the Noometry Index.

Which is cheaper, GLM-5.3 or Grok 4.7?

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Grok 4.7 lists at $2 and $6.

Is GLM-5.3 or Grok 4.7 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 58.0 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 500K.

How many benchmarks do GLM-5.3 and Grok 4.7 share?

35 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Grok 4.7 has 39.

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