Noometry

Model comparison

GLM-5.3-Flash vs Hy3

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 44.2 on the Noometry Index. Hy3 costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Hy3 Tencent

44.2

Rank #79 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Hy3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 26.1.
  • Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3-FlashHy3
ProviderZ.ai (Zhipu)Tencent
Noometry Index51.844.2
Released2026-08-202026-07-06
WeightsOpenOpen
Context window1M262K
Max output131K128K
Input $ / M tokens$0.15$0.0825
Output $ / M tokens$0.50$0.33
Results tracked4019

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Hy3: 46.8 (#63)

BenchmarkGLM-5.3-FlashHy3
LMArena WebDev16091508
LMArena Coding15081464
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), Hy3: —

BenchmarkGLM-5.3-FlashHy3
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Hy3: 26.1 (#136)

BenchmarkGLM-5.3-FlashHy3
LMArena Hard Prompts14911447
ARC-AGI-265.8%—
NYT Connections (extended)—41.2%
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), Hy3: 40.1 (#93)

BenchmarkGLM-5.3-FlashHy3
LMArena Math15001475
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), Hy3: 40.8 (#114)

BenchmarkGLM-5.3-FlashHy3
LMArena Expert15131460
GPQA Diamond90.2%—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Hy3: —

BenchmarkGLM-5.3-FlashHy3
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Hy3: 53.5 (#65)

BenchmarkGLM-5.3-FlashHy3
LMArena Non-English14621426
LMArena Chinese15271493
LMArena French14961461
LMArena German14701439
LMArena Japanese14291392
LMArena Korean14461395
LMArena Russian14691432
LMArena Spanish14711456

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Hy3: 75.1 (#70)

BenchmarkGLM-5.3-FlashHy3
LMArena Instruction Following14781426

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Hy3: 44.1 (#75)

BenchmarkGLM-5.3-FlashHy3
LMArena Longer Query14821442

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Hy3: 62.2 (#81)

BenchmarkGLM-5.3-FlashHy3
LMArena Text14711439
LMArena Creative Writing14421402
LMArena Multi-Turn14671436

Frequently asked questions

Is GLM-5.3-Flash better than Hy3?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 44.2 on the Noometry Index. Hy3 costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Which is cheaper, GLM-5.3-Flash or Hy3?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

Is GLM-5.3-Flash or Hy3 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 46.8 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 262K.

How many benchmarks do GLM-5.3-Flash and Hy3 share?

18 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Hy3 has 19.

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