Noometry

Model comparison

GLM-5.3-Flash vs GLM-5V-Turbo

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and GLM-5V-Turbo in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 29.7.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 200K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGLM-5V-Turbo
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index51.843.8
Released2026-08-202026-04-01
WeightsOpenProprietary
Context window1M200K
Max output131K131K
Input $ / M tokens$0.15$1.20
Output $ / M tokens$0.50$4
Results tracked4019

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), GLM-5V-Turbo: 42.1 (#111)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena WebDev16091401
LMArena Coding15081466
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), GLM-5V-Turbo: —

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), GLM-5V-Turbo: 29.7 (#89)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Hard Prompts14911443
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), GLM-5V-Turbo: 39.4 (#106)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Math15001441
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), GLM-5V-Turbo: 40.6 (#117)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Expert15131452
GPQA Diamond90.2%—

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.8 (#27), GLM-5V-Turbo: 40.9 (#42)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Vision12961264
LMArena Document—1416

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), GLM-5V-Turbo: 53.0 (#73)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Non-English14621420
LMArena Chinese15271488
LMArena French14961444
LMArena German14701423
LMArena Korean14461396
LMArena Russian14691431
LMArena Spanish14711450
LMArena Japanese1429—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), GLM-5V-Turbo: 75.0 (#80)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Instruction Following14781423

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), GLM-5V-Turbo: 44.0 (#80)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Longer Query14821438

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), GLM-5V-Turbo: 62.5 (#73)

BenchmarkGLM-5.3-FlashGLM-5V-Turbo
LMArena Text14711437
LMArena Creative Writing14421416
LMArena Multi-Turn14671432

Frequently asked questions

Is GLM-5.3-Flash better than GLM-5V-Turbo?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or GLM-5V-Turbo?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5.3-Flash or GLM-5V-Turbo better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 42.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 200K.

How many benchmarks do GLM-5.3-Flash and GLM-5V-Turbo share?

18 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GLM-5V-Turbo has 19.

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