Noometry

Model comparison

GLM-5.3-Flash vs Hunyuan Large Vision

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.0 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Hunyuan Large Vision Tencent

37.0

Rank #198 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Hunyuan Large Vision in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 33.7.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashHunyuan Large Vision
ProviderZ.ai (Zhipu)Tencent
Noometry Index49.637.0
Released2026-08-20—
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked3613

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Hunyuan Large Vision: 37.6 (#176)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Coding15061307
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), Hunyuan Large Vision: —

BenchmarkGLM-5.3-FlashHunyuan Large Vision
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), Hunyuan Large Vision: 23.8 (#160)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Hard Prompts14901257
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Hunyuan Large Vision: 32.8 (#184)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Math14991269
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 (#33), Hunyuan Large Vision: 33.7 (#191)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Expert15121250
GPQA Diamond90.2%—

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.6 (#25), Hunyuan Large Vision: 35.1 (#79)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Vision13041180

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), Hunyuan Large Vision: 40.1 (#216)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Non-English14621236
LMArena Chinese15291289
LMArena Russian14721243
LMArena French1495—
LMArena German1457—
LMArena Japanese1420—
LMArena Korean1443—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Hunyuan Large Vision: 66.0 (#210)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Instruction Following14801250

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), Hunyuan Large Vision: 38.8 (#184)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Longer Query14791279

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), Hunyuan Large Vision: 46.7 (#211)

BenchmarkGLM-5.3-FlashHunyuan Large Vision
LMArena Text14711263
LMArena Creative Writing14401250
LMArena Multi-Turn14711253

Frequently asked questions

Is GLM-5.3-Flash better than Hunyuan Large Vision?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.0 on the Noometry Index.

Is GLM-5.3-Flash or Hunyuan Large Vision better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 37.6 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Hunyuan Large Vision share?

13 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Hunyuan Large Vision has 13.

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