Noometry

Model comparison

GLM-5.3-Flash vs Hunyuan Turbos 20250226

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 41.3 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Hunyuan Turbos 20250226 Tencent

41.3

Rank #139 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Hunyuan Turbos 20250226 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 37.0.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashHunyuan Turbos 20250226
ProviderZ.ai (Zhipu)Tencent
Noometry Index51.841.3
Released2026-08-20—
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.50—
Results tracked4016

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Hunyuan Turbos 20250226: 40.0 (#152)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Coding15081361
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Hunyuan Turbos 20250226: —

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Hunyuan Turbos 20250226: 27.8 (#113)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Hard Prompts14911374
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), Hunyuan Turbos 20250226: 37.5 (#154)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Math15001359
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), Hunyuan Turbos 20250226: 37.0 (#161)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Expert15131339
GPQA Diamond90.2%—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Hunyuan Turbos 20250226: —

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Hunyuan Turbos 20250226: 48.9 (#136)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Non-English14621363
LMArena Chinese15271417
LMArena French14961391
LMArena German14701355
LMArena Japanese14291342
LMArena Korean14461351
LMArena Russian14691368
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Hunyuan Turbos 20250226: 71.0 (#158)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Instruction Following14781344

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Hunyuan Turbos 20250226: 41.6 (#136)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Longer Query14821366

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Hunyuan Turbos 20250226: 57.4 (#128)

BenchmarkGLM-5.3-FlashHunyuan Turbos 20250226
LMArena Text14711377
LMArena Creative Writing14421359
LMArena Multi-Turn14671387

Frequently asked questions

Is GLM-5.3-Flash better than Hunyuan Turbos 20250226?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 41.3 on the Noometry Index.

Is GLM-5.3-Flash or Hunyuan Turbos 20250226 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 40.0 in the Noometry coding category.

How many benchmarks do GLM-5.3-Flash and Hunyuan Turbos 20250226 share?

16 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Hunyuan Turbos 20250226 has 16.

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