Model comparison

GLM-5.3 vs Hunyuan Vision 1.5

GLM-5.3 is the stronger model overall, scoring 54.8 to 43.1 on the Noometry Index.

Last verified . 8 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Hunyuan Vision 1.5 Tencent

43.1

Rank #98 Confirmed

Summary

  • They share 8 benchmarks with published results for both. GLM-5.3 scores higher in 6 categories and Hunyuan Vision 1.5 in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3 leads 59.5 to 41.8.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Hunyuan Vision 1.5 specifications
GLM-5.3Hunyuan Vision 1.5
ProviderZ.ai (Zhipu)Tencent
Noometry Index54.843.1
Released2026-08-14—
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked429

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), Hunyuan Vision 1.5: 41.8 (#119)

Coding benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Coding14961418
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Hunyuan Vision 1.5: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Hunyuan Vision 1.5: 28.9 (#97)

Reasoning benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Hard Prompts14891416
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math Not comparable

GLM-5.3: 62.3 (#33), Hunyuan Vision 1.5: —

Math benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1489—

Knowledge Not comparable

GLM-5.3: 58.3 (#37), Hunyuan Vision 1.5: —

Knowledge benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—

Multimodal Not comparable

GLM-5.3: —, Hunyuan Vision 1.5: 35.7 (#84)

Multimodal benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Vision—1180

Multilingual GLM-5.3 leads

GLM-5.3: 55.7 (#28), Hunyuan Vision 1.5: 50.3 (#125)

Multilingual benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Non-English14571382
LMArena Chinese1528—
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following GLM-5.3 leads

GLM-5.3: 77.5 (#23), Hunyuan Vision 1.5: 73.7 (#117)

Instruction Following benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Instruction Following14771397

Long Context GLM-5.3 leads

GLM-5.3: 45.4 (#41), Hunyuan Vision 1.5: 42.9 (#115)

Long Context benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Longer Query14821404

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.7 (#6), Hunyuan Vision 1.5: 60.1 (#100)

Writing & Preference benchmarks
BenchmarkGLM-5.3Hunyuan Vision 1.5
LMArena Text14711405
LMArena Creative Writing14571388
LMArena Multi-Turn14721422
EQ-Bench Creative Writing2075—

Frequently asked questions

Is GLM-5.3 better than Hunyuan Vision 1.5?

GLM-5.3 is the stronger model overall, scoring 54.8 to 43.1 on the Noometry Index.

Is GLM-5.3 or Hunyuan Vision 1.5 better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 41.8 in the Noometry coding category.

How many benchmarks do GLM-5.3 and Hunyuan Vision 1.5 share?

8 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Hunyuan Vision 1.5 has 9.

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