Noometry

Model comparison

GLM-4.7 vs Qwen3.6 Plus

Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 42.0 on the Noometry Index.

Last verified . 30 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Qwen3.6 Plus Alibaba (Qwen)

47.5

Rank #62 Confirmed

Summary

  • They share 30 benchmarks with published results for both. GLM-4.7 scores higher in 1 category and Qwen3.6 Plus in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.6 Plus leads 51.8 to 38.6.
  • The biggest single-benchmark swing is SimpleQA Verified: 32.2% for GLM-4.7 and 44.1% for Qwen3.6 Plus.
  • GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
  • Qwen3.6 Plus accepts more context: 1M tokens versus 205K.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7Qwen3.6 Plus
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index42.047.5
Released2025-12-222026-03-31
WeightsOpenProprietary
Context window205K1M
Max output131K66K
Input $ / M tokens$0.60$0.50
Output $ / M tokens$2.20$3
Results tracked3637

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), Qwen3.6 Plus: 40.8 (#130)

BenchmarkGLM-4.7Qwen3.6 Plus
LMArena WebDev14351461
SciCode45.1%40.7%
LMArena Coding14541467
ALE-Bench399.48670.15
SWE-bench Verified—57.9%

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Qwen3.6 Plus: —

BenchmarkGLM-4.7Qwen3.6 Plus
Vending-Bench 22,3775,115
Terminal-Bench33.4%—

Reasoning Qwen3.6 Plus leads

GLM-4.7: 24.3 (#164), Qwen3.6 Plus: 29.3 (#93)

BenchmarkGLM-4.7Qwen3.6 Plus
CritPt1.7%2.9%
Chess Puzzles6%17%
LMArena Hard Prompts14431449
Epoch Capabilities Index143.51147.65
SimpleBench47.7%—
NYT Connections (extended)—60.3%
Thematic Generalization—59.5%
Mystery Game Puzzles—12%
DTBench—81.9%
LMCA—33.1%

Math Qwen3.6 Plus leads

GLM-4.7: 38.6 (#135), Qwen3.6 Plus: 51.8 (#54)

BenchmarkGLM-4.7Qwen3.6 Plus
OTIS Mock AIME 2024-202583.3%93.3%
LMArena Math14231450
FrontierMath (Feb 2025 set)2.4%26.2%
FrontierMath Tier 4 (v1)0%8.3%
FrontierMath (Tiers 1-3)—38.2%
ProofBench6%—

Knowledge Qwen3.6 Plus leads

GLM-4.7: 47.0 (#80), Qwen3.6 Plus: 56.1 (#45)

BenchmarkGLM-4.7Qwen3.6 Plus
GPQA Diamond83.3%88.4%
SimpleQA Verified32.2%44.1%
LMArena Expert14241454
Vectara Hallucination Rate11.7%—

Multilingual Too close to call

GLM-4.7: 52.8 (#79), Qwen3.6 Plus: 53.3 (#70)

BenchmarkGLM-4.7Qwen3.6 Plus
LMArena Non-English14171424
LMArena Chinese14951477
LMArena French14321455
LMArena German14241452
LMArena Japanese14391389
LMArena Korean13991379
LMArena Russian14231434
LMArena Spanish14341432

Instruction Following Too close to call

GLM-4.7: 74.4 (#95), Qwen3.6 Plus: 75.0 (#74)

BenchmarkGLM-4.7Qwen3.6 Plus
LMArena Instruction Following14111425

Long Context Qwen3.6 Plus leads

GLM-4.7: 42.8 (#116), Qwen3.6 Plus: 45.2 (#49)

BenchmarkGLM-4.7Qwen3.6 Plus
CL-bench15.9%20.3%
LMArena Longer Query14321439
CL-bench Life10.9%—

Writing & Preference Qwen3.6 Plus leads

GLM-4.7: 60.9 (#93), Qwen3.6 Plus: 62.2 (#82)

BenchmarkGLM-4.7Qwen3.6 Plus
LMArena Text14351437
LMArena Creative Writing14011404
LMArena Multi-Turn14461438
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than Qwen3.6 Plus?

Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 42.0 on the Noometry Index.

Which is cheaper, GLM-4.7 or Qwen3.6 Plus?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.

Is GLM-4.7 or Qwen3.6 Plus better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

Qwen3.6 Plus does, with 1M tokens against 205K.

How many benchmarks do GLM-4.7 and Qwen3.6 Plus share?

30 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Qwen3.6 Plus has 37.

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