Model comparison

GLM-4.7-Flash vs Hunyuan T1 20250711

Hunyuan T1 20250711 is the stronger model overall, scoring 41.8 to 38.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 Confirmed

Hunyuan T1 20250711 Tencent

41.8

Rank #114 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Hunyuan T1 20250711 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Hunyuan T1 20250711 leads 59.7 to 47.7.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-Flash and Hunyuan T1 20250711 specifications
GLM-4.7-FlashHunyuan T1 20250711
ProviderZ.ai (Zhipu)Tencent
Noometry Index38.441.8
Released2026-01-19—
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$0.06—
Output $ / M tokens$0.40—
Results tracked2113

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Category by category

Coding Too close to call

GLM-4.7-Flash: 40.0 (#133), Hunyuan T1 20250711: 40.2 (#129)

Coding benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Coding13831389

Reasoning Hunyuan T1 20250711 leads

GLM-4.7-Flash: 20.2 (#224), Hunyuan T1 20250711: 27.3 (#106)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Hard Prompts13561399
Chess Puzzles0%—

Math Hunyuan T1 20250711 leads

GLM-4.7-Flash: 34.4 (#159), Hunyuan T1 20250711: 36.0 (#132)

Math benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Math13541414
OTIS Mock AIME 2024-202558.3%—

Knowledge Hunyuan T1 20250711 leads

GLM-4.7-Flash: 35.4 (#177), Hunyuan T1 20250711: 38.1 (#139)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Expert13571395
GPQA Diamond60.5%—
Vectara Hallucination Rate9.3%—

Multilingual Hunyuan T1 20250711 leads

GLM-4.7-Flash: 46.8 (#152), Hunyuan T1 20250711: 51.4 (#107)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Non-English13311395
LMArena Chinese14031424
LMArena Korean12841403
LMArena Russian13331384
LMArena French1332—
LMArena German1336—
LMArena Spanish1351—

Instruction Following Hunyuan T1 20250711 leads

GLM-4.7-Flash: 70.3 (#162), Hunyuan T1 20250711: 72.8 (#130)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Instruction Following13271375

Long Context Hunyuan T1 20250711 leads

GLM-4.7-Flash: 40.9 (#143), Hunyuan T1 20250711: 42.2 (#123)

Long Context benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Longer Query13451384

Writing & Preference Hunyuan T1 20250711 leads

GLM-4.7-Flash: 47.7 (#206), Hunyuan T1 20250711: 59.7 (#105)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashHunyuan T1 20250711
LMArena Text13511401
LMArena Creative Writing12971391
LMArena Multi-Turn13421393
EQ-Bench Creative Writing1125—

Frequently asked questions

Is GLM-4.7-Flash better than Hunyuan T1 20250711?

Hunyuan T1 20250711 is the stronger model overall, scoring 41.8 to 38.4 on the Noometry Index.

Is GLM-4.7-Flash or Hunyuan T1 20250711 better for coding?

They score almost the same on coding (40.0 vs 40.2); test both on your own repository before choosing.

How many benchmarks do GLM-4.7-Flash and Hunyuan T1 20250711 share?

13 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Hunyuan T1 20250711 has 13.

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