Model comparison

GLM-5.2 vs Hunyuan Turbo 0110

GLM-5.2 is the stronger model overall, scoring 50.9 to 39.0 on the Noometry Index.

Last verified . 11 shared benchmarks.

GLM-5.2 Z.ai (Zhipu)

50.9

Rank #38 Confirmed

Hunyuan Turbo 0110 Tencent

39.0

Rank #165 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-5.2 scores higher in 7 categories and Hunyuan Turbo 0110 in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.2 leads 55.4 to 32.9.
  • GLM-5.2 has downloadable open weights; the other is API-only.

Side by side

GLM-5.2 and Hunyuan Turbo 0110 specifications
GLM-5.2Hunyuan Turbo 0110
ProviderZ.ai (Zhipu)Tencent
Noometry Index50.939.0
Released2026-06-13—
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked5011

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Category by category

Coding GLM-5.2 leads

GLM-5.2: 50.9 (#37), Hunyuan Turbo 0110: 38.0 (#168)

Coding benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Coding14841320
SWE-bench Verified78.7%—
DeepSWE43.8%—
FrontierCode24.5%—
LMArena WebDev1604—
SciCode50.5%—
WeirdML70.1%—
ALE-Bench1,047—

Agentic & Tool Use Not comparable

GLM-5.2: 31.6 (#63), Hunyuan Turbo 0110: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
τ²-bench Banking37.1%—
PostTrainBench31.7%—
GBAEval0%—
Vending-Bench 28,314—

Reasoning GLM-5.2 leads

GLM-5.2: 42.1 (#46), Hunyuan Turbo 0110: 25.0 (#135)

Reasoning benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Hard Prompts14801308
ARC-AGI-222.8%—
SimpleBench58.8%—
Kagi LLM Benchmark62.6%—
NYT Connections (extended)74.3%—
ARC-AGI-177%—
CritPt20.9%—
Chess Puzzles21%—
EBR-Bench9.5%—
Mystery Game Puzzles19%—
DTBench93.6%—
LMCA45.8%—
Surface Evolver Bench55.6%—
Epoch Capabilities Index151.76—

Math GLM-5.2 leads

GLM-5.2: 55.4 (#35), Hunyuan Turbo 0110: 32.9 (#180)

Math benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Math14821273
FrontierMath (Tiers 1-3)59.2%—
FrontierMath Tier 429.3%—
MathArena Final-Answer Competitions67.6%—
OTIS Mock AIME 2024-202586.4%—
ProofBench35%—

Knowledge Not comparable

GLM-5.2: 57.1 (#36), Hunyuan Turbo 0110: —

Knowledge benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
GPQA Diamond91.9%—
SimpleQA Verified34.2%—
LMArena Expert1484—

Multilingual GLM-5.2 leads

GLM-5.2: 56.0 (#25), Hunyuan Turbo 0110: 43.5 (#178)

Multilingual benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Non-English14591285
LMArena Chinese15181358
LMArena Russian14671305
LMArena French1476—
LMArena German1470—
LMArena Japanese1451—
LMArena Korean1445—
LMArena Spanish1477—

Instruction Following GLM-5.2 leads

GLM-5.2: 77.1 (#32), Hunyuan Turbo 0110: 67.7 (#190)

Instruction Following benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Instruction Following14651279

Long Context GLM-5.2 leads

GLM-5.2: 45.3 (#43), Hunyuan Turbo 0110: 39.8 (#163)

Long Context benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Longer Query14791309

Writing & Preference GLM-5.2 leads

GLM-5.2: 70.7 (#20), Hunyuan Turbo 0110: 50.4 (#176)

Writing & Preference benchmarks
BenchmarkGLM-5.2Hunyuan Turbo 0110
LMArena Text14701311
LMArena Creative Writing14651269
LMArena Multi-Turn14681303
EQ-Bench Creative Writing1757—
EQ-Bench 41222—

Frequently asked questions

Is GLM-5.2 better than Hunyuan Turbo 0110?

GLM-5.2 is the stronger model overall, scoring 50.9 to 39.0 on the Noometry Index.

Is GLM-5.2 or Hunyuan Turbo 0110 better for coding?

GLM-5.2 scores higher on coding benchmarks: 50.9 versus 38.0 in the Noometry coding category.

How many benchmarks do GLM-5.2 and Hunyuan Turbo 0110 share?

11 benchmarks have published results for both models. GLM-5.2 has 50 scored results on Noometry and Hunyuan Turbo 0110 has 11.

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