Noometry

Model comparison

GLM-4.5 vs Qwen3.5 35B-A3B

GLM-4.5 and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.0 vs 42.0), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Qwen3.5 35B-A3B Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 4 categories and Qwen3.5 35B-A3B in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 35.9.
  • Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • Qwen3.5 35B-A3B accepts more context: 262K tokens versus 131K.

Side by side

GLM-4.5Qwen3.5 35B-A3B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index42.042.0
Released2025-07-272026-02-01
WeightsOpenOpen
Context window131K262K
Max output98K66K
Input $ / M tokens$0.60$0.25
Output $ / M tokens$2.20$2
Results tracked2728

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Qwen3.5 35B-A3B: 33.8 (#251)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Coding14341410
SWE-bench Verified (bash only)54.2%—
LMArena WebDev—1254
SciCode—29.3%
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Qwen3.5 35B-A3B: 24.6 (#161)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Hard Prompts14291400
Kagi LLM Benchmark57.9%—
CritPt—0.6%
Chess Puzzles—10%
DTBench—80%
LMCA—29.5%
Epoch Capabilities Index—142.52

Math Too close to call

GLM-4.5: 39.0 (#116), Qwen3.5 35B-A3B: 39.9 (#97)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Math14271404
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%

Knowledge Qwen3.5 35B-A3B leads

GLM-4.5: 35.9 (#179), Qwen3.5 35B-A3B: 47.8 (#79)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Expert14331408
GPQA Diamond—83.5%
Humanity's Last Exam8.3%—
Confabulations11.3%—
Vectara Hallucination Rate—10.5%

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), Qwen3.5 35B-A3B: 50.0 (#127)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Non-English14171378
LMArena Chinese14651457
LMArena French14181412
LMArena German14071367
LMArena Japanese14151325
LMArena Korean13801356
LMArena Russian14141376
LMArena Spanish14541392

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), Qwen3.5 35B-A3B: 72.8 (#128)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Instruction Following14041379

Long Context Qwen3.5 35B-A3B leads

GLM-4.5: 38.2 (#201), Qwen3.5 35B-A3B: 42.4 (#127)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Longer Query14121389
Fiction.LiveBench58.3%—

Writing & Preference Too close to call

GLM-4.5: 57.5 (#127), Qwen3.5 35B-A3B: 57.9 (#124)

BenchmarkGLM-4.5Qwen3.5 35B-A3B
LMArena Text14301395
LMArena Creative Writing13951346
LMArena Multi-Turn14151390
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than Qwen3.5 35B-A3B?

GLM-4.5 and Qwen3.5 35B-A3B score almost the same on the Noometry Index (42.0 vs 42.0), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.5 or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or Qwen3.5 35B-A3B better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 131K.

How many benchmarks do GLM-4.5 and Qwen3.5 35B-A3B share?

17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen3.5 35B-A3B has 28.

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