Noometry

Model comparison

GLM-5.3-Flash vs Grok Build 0.1

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 35.8 on the Noometry Index.

Last verified . 2 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Grok Build 0.1 xAI

35.8

Rank #214 Reported

Summary

  • They share 2 benchmarks with published results for both. GLM-5.3-Flash scores higher in 3 categories and Grok Build 0.1 in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where GLM-5.3-Flash leads 34.3 to 22.5.
  • The biggest single-benchmark swing is CritPt: 15.4% for GLM-5.3-Flash and 9.1% for Grok Build 0.1.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1 / $2 for Grok Build 0.1.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 256K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGrok Build 0.1
ProviderZ.ai (Zhipu)xAI
Noometry Index49.635.8
Released2026-08-202026-04-16
WeightsOpenProprietary
Context window1M256K
Max output131K256K
Input $ / M tokens$0.15$1
Output $ / M tokens$0.50$2
Results tracked363

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Grok Build 0.1: 42.5 (#90)

BenchmarkGLM-5.3-FlashGrok Build 0.1
SciCode51.6%50.2%
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
LMArena Coding1506—
ALE-Bench303.55—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), Grok Build 0.1: 22.5 (#122)

BenchmarkGLM-5.3-FlashGrok Build 0.1
APEX-Agents52.8%—
GBAEval—2.4%
GDP.pdf14%—

Reasoning Too close to call

GLM-5.3-Flash: 31.7 (#69), Grok Build 0.1: 31.3 (#73)

BenchmarkGLM-5.3-FlashGrok Build 0.1
CritPt15.4%9.1%
Chess Puzzles14%—
LMArena Hard Prompts1490—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math Not comparable

GLM-5.3-Flash: 53.1 (#38), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1499—

Knowledge Not comparable

GLM-5.3-Flash: 58.4 (#33), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
GPQA Diamond90.2%—
LMArena Expert1512—

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
LMArena Vision1304—

Multilingual Not comparable

GLM-5.3-Flash: 56.2 (#24), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
LMArena Non-English1462—
LMArena Chinese1529—
LMArena French1495—
LMArena German1457—
LMArena Japanese1420—
LMArena Korean1443—
LMArena Russian1472—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.8 (#17), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
LMArena Instruction Following1480—

Long Context Not comparable

GLM-5.3-Flash: 45.3 (#41), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
LMArena Longer Query1479—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.4 (#49), Grok Build 0.1: —

BenchmarkGLM-5.3-FlashGrok Build 0.1
LMArena Text1471—
LMArena Creative Writing1440—
LMArena Multi-Turn1471—

Frequently asked questions

Is GLM-5.3-Flash better than Grok Build 0.1?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 35.8 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Grok Build 0.1?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Grok Build 0.1 lists at $1 and $2.

Is GLM-5.3-Flash or Grok Build 0.1 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 42.5 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 256K.

How many benchmarks do GLM-5.3-Flash and Grok Build 0.1 share?

2 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Grok Build 0.1 has 3.

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