Noometry

Model comparison

GLM-5.3-Flash vs Inkling

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 44.1 on the Noometry Index.

Last verified . 33 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Summary

  • They share 33 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Inkling in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 31.3.
  • The biggest single-benchmark swing is ARC-AGI-2: 65.8% for GLM-5.3-Flash and 36.5% for Inkling.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.87 / $4.68 for Inkling.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 66K.

Side by side

GLM-5.3-FlashInkling
ProviderZ.ai (Zhipu)Thinking Machines Lab
Noometry Index51.844.1
Released2026-08-202026-07-15
WeightsOpenOpen
Context window1M66K
Max output131K66K
Input $ / M tokens$0.15$1.87
Output $ / M tokens$0.50$4.68
Results tracked4041

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Inkling: 34.5 (#234)

BenchmarkGLM-5.3-FlashInkling
FrontierCode31.8%14%
LMArena WebDev16091413
FrontierSWE18.1%4.1%
SciCode51.6%47%
LMArena Coding15081464
ALE-Bench303.55946
DeepSWE63.4%—
CursorBench36.8%—
WeirdML—32.3%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Inkling: 29.6 (#85)

BenchmarkGLM-5.3-FlashInkling
APEX-Agents52.8%33.8%
τ²-bench Banking—25%
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Inkling: 40.4 (#56)

BenchmarkGLM-5.3-FlashInkling
ARC-AGI-265.8%36.5%
ARC-AGI-191%79.5%
CritPt15.4%5.4%
Chess Puzzles14%21%
LMArena Hard Prompts14911451
Epoch Capabilities Index151.88148.54
SimpleBench—50%
Mystery Game Puzzles8%—
DTBench—87.5%
LMCA—37.6%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Inkling: 31.3 (#225)

BenchmarkGLM-5.3-FlashInkling
FrontierMath (Tiers 1-3)55.8%33.3%
FrontierMath Tier 417.1%4.9%
OTIS Mock AIME 2024-202593.9%88.9%
ProofBench21%0%
LMArena Math15001479

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Inkling: 55.1 (#49)

BenchmarkGLM-5.3-FlashInkling
GPQA Diamond90.2%88.3%
LMArena Expert15131465
SimpleQA Verified—40.3%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Inkling: —

BenchmarkGLM-5.3-FlashInkling
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Inkling: 54.0 (#52)

BenchmarkGLM-5.3-FlashInkling
LMArena Non-English14621434
LMArena Chinese15271490
LMArena French14961458
LMArena German14701446
LMArena Japanese14291429
LMArena Korean14461404
LMArena Russian14691429
LMArena Spanish14711448

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Inkling: 75.1 (#71)

BenchmarkGLM-5.3-FlashInkling
LMArena Instruction Following14781426

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Inkling: 43.8 (#86)

BenchmarkGLM-5.3-FlashInkling
LMArena Longer Query14821434

Writing & Preference Too close to call

GLM-5.3-Flash: 65.3 (#50), Inkling: 65.2 (#51)

BenchmarkGLM-5.3-FlashInkling
LMArena Text14711441
LMArena Creative Writing14421387
LMArena Multi-Turn14671436
EQ-Bench Creative Writing—1611
EQ-Bench 4—1226

Frequently asked questions

Is GLM-5.3-Flash better than Inkling?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 44.1 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Inkling?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Inkling lists at $1.87 and $4.68.

Is GLM-5.3-Flash or Inkling better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 66K.

How many benchmarks do GLM-5.3-Flash and Inkling share?

33 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Inkling has 41.

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