Noometry

Model comparison

GLM-5.3-Flash vs Grok 4.6

Grok 4.6 is the stronger model overall, scoring 56.9 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 13× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

Last verified . 38 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Grok 4.6 xAI

56.9

Rank #21 Confirmed

Summary

  • They share 38 benchmarks with published results for both. GLM-5.3-Flash scores higher in 4 categories and Grok 4.6 in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Grok 4.6 leads 67.0 to 53.3.
  • The biggest single-benchmark swing is ProofBench: 21% for GLM-5.3-Flash and 51% for Grok 4.6.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $2 / $6 for Grok 4.6.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 500K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGrok 4.6
ProviderZ.ai (Zhipu)xAI
Noometry Index51.856.9
Released2026-08-202026-08-12
WeightsOpenProprietary
Context window1M500K
Max output131K500K
Input $ / M tokens$0.15$2
Output $ / M tokens$0.50$6
Results tracked4049

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Category by category

Coding Grok 4.6 leads

GLM-5.3-Flash: 53.1 (#31), Grok 4.6: 58.5 (#16)

BenchmarkGLM-5.3-FlashGrok 4.6
DeepSWE63.4%67.5%
FrontierCode31.8%48%
CursorBench36.8%41.4%
LMArena WebDev16091617
FrontierSWE18.1%25.3%
SciCode51.6%56.5%
LMArena Coding15081465
ALE-Bench303.551,508
WeirdML—67.3%

Agentic & Tool Use Grok 4.6 leads

GLM-5.3-Flash: 34.2 (#47), Grok 4.6: 39.4 (#27)

BenchmarkGLM-5.3-FlashGrok 4.6
APEX-Agents52.8%65.3%
GDP.pdf14%17.2%
Vending-Bench 2—9,047

Reasoning Grok 4.6 leads

GLM-5.3-Flash: 48.0 (#42), Grok 4.6: 61.4 (#20)

BenchmarkGLM-5.3-FlashGrok 4.6
ARC-AGI-265.8%67.1%
ARC-AGI-191%87.5%
CritPt15.4%19.7%
Chess Puzzles14%40%
LMArena Hard Prompts14911447
Mystery Game Puzzles8%34%
Epoch Capabilities Index151.88156.44
SimpleBench—75.9%
NYT Connections (extended)—80%
EBR-Bench—30.5%
DTBench—97.3%
LMCA—48.5%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math Grok 4.6 leads

GLM-5.3-Flash: 53.3 (#47), Grok 4.6: 67.0 (#24)

BenchmarkGLM-5.3-FlashGrok 4.6
FrontierMath (Tiers 1-3)55.8%66%
FrontierMath Tier 417.1%31.7%
OTIS Mock AIME 2024-202593.9%99.2%
ProofBench21%51%
LMArena Math15001423

Knowledge Grok 4.6 leads

GLM-5.3-Flash: 58.4 (#36), Grok 4.6: 63.3 (#20)

BenchmarkGLM-5.3-FlashGrok 4.6
GPQA Diamond90.2%94%
LMArena Expert15131467
SimpleQA Verified—49.3%

Multimodal Too close to call

GLM-5.3-Flash: 42.8 (#27), Grok 4.6: 43.6 (#23)

BenchmarkGLM-5.3-FlashGrok 4.6
LMArena Vision12961263
Blueprint-Bench 2—33.2%
Furniture Assembly—40%
LMArena Document—1452

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Grok 4.6: 53.0 (#74)

BenchmarkGLM-5.3-FlashGrok 4.6
LMArena Non-English14621420
LMArena Chinese15271480
LMArena French14961461
LMArena German14701431
LMArena Japanese14291376
LMArena Korean14461397
LMArena Russian14691422
LMArena Spanish14711404

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Grok 4.6: 75.4 (#63)

BenchmarkGLM-5.3-FlashGrok 4.6
LMArena Instruction Following14781431

Long Context Too close to call

GLM-5.3-Flash: 45.4 (#39), Grok 4.6: 44.5 (#66)

BenchmarkGLM-5.3-FlashGrok 4.6
LMArena Longer Query14821454

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Grok 4.6: 62.3 (#80)

BenchmarkGLM-5.3-FlashGrok 4.6
LMArena Text14711428
LMArena Creative Writing14421428
LMArena Multi-Turn14671425

Frequently asked questions

Is GLM-5.3-Flash better than Grok 4.6?

Grok 4.6 is the stronger model overall, scoring 56.9 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 13× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.

Which is cheaper, GLM-5.3-Flash or Grok 4.6?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Grok 4.6 lists at $2 and $6.

Is GLM-5.3-Flash or Grok 4.6 better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 53.1 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GLM-5.3-Flash and Grok 4.6 share?

38 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Grok 4.6 has 49.

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