Model comparison

GLM-5.2 vs Qwen1.5-110B

GLM-5.2 is the stronger model overall, scoring 51.1 to 34.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Qwen1.5-110B Alibaba (Qwen)

34.2

Rank #234 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-5.2 scores higher in 8 categories and Qwen1.5-110B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.2 leads 70.4 to 38.0.

Side by side

GLM-5.2 and Qwen1.5-110B specifications
GLM-5.2Qwen1.5-110B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index51.134.2
Released2026-06-132024-04-25
WeightsOpenOpen
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked5120

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Category by category

Coding GLM-5.2 leads

GLM-5.2: 51.3 (#41), Qwen1.5-110B: 33.0 (#264)

Coding benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Coding14851184
SWE-bench Verified78.7%—
DeepSWE43.8%—
FrontierCode24.5%—
LMArena WebDev1603—
SciCode50.5%—
WeirdML70.1%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%
ALE-Bench1,047—

Agentic & Tool Use Not comparable

GLM-5.2: 32.4 (#63), Qwen1.5-110B: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
APEX-Agents45.2%—
τ²-bench Banking37.1%—
PostTrainBench31.7%—
GBAEval0%—
Vending-Bench 28,314—

Reasoning GLM-5.2 leads

GLM-5.2: 42.3 (#52), Qwen1.5-110B: 22.7 (#189)

Reasoning benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Hard Prompts14801168
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 Index151.78—
ForecastBench—57.7

Math GLM-5.2 leads

GLM-5.2: 55.7 (#43), Qwen1.5-110B: 33.7 (#201)

Math benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Math14821185
FrontierMath (Tiers 1-3)59.2%—
FrontierMath Tier 429.3%—
MathArena Final-Answer Competitions67.6%—
OTIS Mock AIME 2024-202586.4%—
ProofBench35%—

Knowledge GLM-5.2 leads

GLM-5.2: 57.1 (#40), Qwen1.5-110B: 31.2 (#219)

Knowledge benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Expert14861144
GPQA Diamond91.9%—
SimpleQA Verified34.2%—

Multilingual GLM-5.2 leads

GLM-5.2: 55.8 (#26), Qwen1.5-110B: 33.6 (#250)

Multilingual benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Non-English14591142
LMArena Chinese15191206
LMArena French14791151
LMArena German14681123
LMArena Japanese14511074
LMArena Korean14451044
LMArena Russian14661118
LMArena Spanish14771142

Instruction Following GLM-5.2 leads

GLM-5.2: 76.9 (#34), Qwen1.5-110B: 60.3 (#252)

Instruction Following benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Instruction Following14651158

Long Context GLM-5.2 leads

GLM-5.2: 45.3 (#43), Qwen1.5-110B: 35.1 (#242)

Long Context benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Longer Query14791157

Writing & Preference GLM-5.2 leads

GLM-5.2: 70.4 (#21), Qwen1.5-110B: 38.0 (#255)

Writing & Preference benchmarks
BenchmarkGLM-5.2Qwen1.5-110B
LMArena Text14701175
LMArena Creative Writing14621148
LMArena Multi-Turn14691160
EQ-Bench Creative Writing1757—
EQ-Bench 41222—

Frequently asked questions

Is GLM-5.2 better than Qwen1.5-110B?

GLM-5.2 is the stronger model overall, scoring 51.1 to 34.2 on the Noometry Index.

Is GLM-5.2 or Qwen1.5-110B better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 33.0 in the Noometry coding category.

How many benchmarks do GLM-5.2 and Qwen1.5-110B share?

17 benchmarks have published results for both models. GLM-5.2 has 51 scored results on Noometry and Qwen1.5-110B has 20.

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