Model comparison

GLM-5.2 vs Qwen2.5 Plus 1127

GLM-5.2 is the stronger model overall, scoring 51.1 to 38.8 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.8

Rank #181 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-5.2 scores higher in 8 categories and Qwen2.5 Plus 1127 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.2 leads 57.1 to 35.5.
  • GLM-5.2 has downloadable open weights; the other is API-only.

Side by side

GLM-5.2 and Qwen2.5 Plus 1127 specifications
GLM-5.2Qwen2.5 Plus 1127
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index51.138.8
Released2026-06-13—
WeightsOpenProprietary
Context window1M—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked5114

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Category by category

Coding GLM-5.2 leads

GLM-5.2: 51.3 (#41), Qwen2.5 Plus 1127: 38.5 (#175)

Coding benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Coding14851314
SWE-bench Verified78.7%—
DeepSWE43.8%—
FrontierCode24.5%—
LMArena WebDev1603—
SciCode50.5%—
WeirdML70.1%—
ALE-Bench1,047—

Agentic & Tool Use Not comparable

GLM-5.2: 32.4 (#63), Qwen2.5 Plus 1127: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
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), Qwen2.5 Plus 1127: 25.9 (#141)

Reasoning benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Hard Prompts14801299
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—

Math GLM-5.2 leads

GLM-5.2: 55.7 (#43), Qwen2.5 Plus 1127: 36.1 (#174)

Math benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Math14821298
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), Qwen2.5 Plus 1127: 35.5 (#183)

Knowledge benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Expert14861289
GPQA Diamond91.9%—
SimpleQA Verified34.2%—

Multilingual GLM-5.2 leads

GLM-5.2: 55.8 (#26), Qwen2.5 Plus 1127: 41.9 (#201)

Multilingual benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Non-English14591265
LMArena Chinese15191314
LMArena German14681231
LMArena Japanese14511207
LMArena Russian14661271
LMArena French1479—
LMArena Korean1445—
LMArena Spanish1477—

Instruction Following GLM-5.2 leads

GLM-5.2: 76.9 (#34), Qwen2.5 Plus 1127: 67.2 (#199)

Instruction Following benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Instruction Following14651275

Long Context GLM-5.2 leads

GLM-5.2: 45.3 (#43), Qwen2.5 Plus 1127: 39.2 (#184)

Long Context benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Longer Query14791292

Writing & Preference GLM-5.2 leads

GLM-5.2: 70.4 (#21), Qwen2.5 Plus 1127: 49.4 (#192)

Writing & Preference benchmarks
BenchmarkGLM-5.2Qwen2.5 Plus 1127
LMArena Text14701299
LMArena Creative Writing14621262
LMArena Multi-Turn14691299
EQ-Bench Creative Writing1757—
EQ-Bench 41222—

Frequently asked questions

Is GLM-5.2 better than Qwen2.5 Plus 1127?

GLM-5.2 is the stronger model overall, scoring 51.1 to 38.8 on the Noometry Index.

Is GLM-5.2 or Qwen2.5 Plus 1127 better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 38.5 in the Noometry coding category.

How many benchmarks do GLM-5.2 and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. GLM-5.2 has 51 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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