Noometry

Model comparison

GLM-5 vs Qwen3 235B-A22B

GLM-5 is the stronger model overall, scoring 46.1 to 43.5 on the Noometry Index.

Last verified . 32 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • They share 32 benchmarks with published results for both. GLM-5 scores higher in 6 categories and Qwen3 235B-A22B in 3 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5 leads 27.6 to 15.7.
  • The biggest single-benchmark swing is ARC-AGI-1: 44.7% for GLM-5 and 11% for Qwen3 235B-A22B.
  • Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1 / $3.20 for GLM-5.
  • GLM-5 accepts more context: 205K tokens versus 131K.

Side by side

GLM-5Qwen3 235B-A22B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index46.143.5
Released2026-02-112025-04
WeightsOpenOpen
Context window205K131K
Max output131K16K
Input $ / M tokens$1$0.70
Output $ / M tokens$3.20$2.80
Results tracked4549

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#52), Qwen3 235B-A22B: 44.3 (#75)

BenchmarkGLM-5Qwen3 235B-A22B
WeirdML48.2%41%
LMArena Coding14611445
SWE-bench Verified72.1%—
SWE-bench Verified (bash only)72.8%—
Aider Polyglot—59.6%
LMArena WebDev1434—
SWE-bench Multilingual69.7%—
SciCode—42.4%
ALE-Bench765.62—

Agentic & Tool Use Qwen3 235B-A22B leads

GLM-5: 31.1 (#71), Qwen3 235B-A22B: 33.9 (#51)

BenchmarkGLM-5Qwen3 235B-A22B
Vending-Bench 24,432-11.34
Terminal-Bench52.4%—
Berkeley Function Calling Leaderboard—52.1%
τ²-bench Airline82.5%—
τ²-bench Banking9.8%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—

Reasoning GLM-5 leads

GLM-5: 27.6 (#116), Qwen3 235B-A22B: 15.7 (#311)

BenchmarkGLM-5Qwen3 235B-A22B
ARC-AGI-24.9%1.3%
SimpleBench53.2%31%
Kagi LLM Benchmark75%69.4%
ARC-AGI-144.7%11%
Chess Puzzles10%12%
LMArena Hard Prompts14521433
Epoch Capabilities Index145.83143.85
ForecastBench6159.7
NYT Connections (extended)74.8%—
CritPt—0%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%

Math Qwen3 235B-A22B leads

GLM-5: 46.4 (#71), Qwen3 235B-A22B: 50.4 (#57)

BenchmarkGLM-5Qwen3 235B-A22B
OTIS Mock AIME 2024-202580%86.7%
LMArena Math14401432
FrontierMath (Feb 2025 set)16.4%8.5%
FrontierMath Tier 4 (v1)2.1%0%
MathArena Final-Answer Competitions65.7%—
Omni-MATH—71.8%
MATH Level 5—68.9%

Knowledge GLM-5 leads

GLM-5: 52.3 (#64), Qwen3 235B-A22B: 49.6 (#73)

BenchmarkGLM-5Qwen3 235B-A22B
GPQA Diamond87.8%80.1%
Vectara Hallucination Rate10.1%9.3%
LMArena Expert14541463
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
GPQA (HELM)—72.7%

Multilingual GLM-5 leads

GLM-5: 53.7 (#58), Qwen3 235B-A22B: 52.3 (#89)

BenchmarkGLM-5Qwen3 235B-A22B
LMArena Non-English14301409
LMArena Chinese15111481
LMArena French14551445
LMArena German14451433
LMArena Japanese14161399
LMArena Korean14231391
LMArena Russian14361411
LMArena Spanish14541430

Instruction Following GLM-5 leads

GLM-5: 75.2 (#67), Qwen3 235B-A22B: 72.6 (#136)

BenchmarkGLM-5Qwen3 235B-A22B
LMArena Instruction Following14281408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

GLM-5: 44.7 (#60), Qwen3 235B-A22B: 46.1 (#26)

BenchmarkGLM-5Qwen3 235B-A22B
LMArena Longer Query14461426
Fiction.LiveBench—75%
CL-bench18.7%—

Writing & Preference GLM-5 leads

GLM-5: 66.0 (#38), Qwen3 235B-A22B: 59.6 (#108)

BenchmarkGLM-5Qwen3 235B-A22B
LMArena Text14461419
LMArena Creative Writing14391384
EQ-Bench Creative Writing16011366
LMArena Multi-Turn14561432
Short-Story Creative Writing—83%
WildBench—86.6%

Frequently asked questions

Is GLM-5 better than Qwen3 235B-A22B?

GLM-5 is the stronger model overall, scoring 46.1 to 43.5 on the Noometry Index.

Which is cheaper, GLM-5 or Qwen3 235B-A22B?

Qwen3 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GLM-5 lists at $1 and $3.20.

Is GLM-5 or Qwen3 235B-A22B better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 44.3 in the Noometry coding category.

Which has the bigger context window?

GLM-5 does, with 205K tokens against 131K.

How many benchmarks do GLM-5 and Qwen3 235B-A22B share?

32 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Qwen3 235B-A22B has 49.

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