Noometry

Model comparison

GLM-5.3-Flash vs Qwen Max

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Qwen Max Alibaba (Qwen)

34.4

Rank #226 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.1 to 21.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 16.1% for Qwen Max.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 33K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashQwen Max
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index49.634.4
Released2026-08-202024-04-03
WeightsOpenProprietary
Context window1M33K
Max output131K8K
Input $ / M tokens$0.15$1.60
Output $ / M tokens$0.50$6.40
Results tracked3623

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Qwen Max: 30.3 (#288)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Coding15061288
DeepSWE63.4%—
FrontierCode31.8%—
Aider Polyglot—21.8%
LMArena WebDev1614—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), Qwen Max: —

BenchmarkGLM-5.3-FlashQwen Max
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), Qwen Max: 24.1 (#154)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Hard Prompts14901270
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Qwen Max: 21.0 (#272)

BenchmarkGLM-5.3-FlashQwen Max
OTIS Mock AIME 2024-202593.9%16.1%
LMArena Math14991275
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
MATH Level 5—67.2%
FrontierMath (Feb 2025 set)—1%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), Qwen Max: 30.3 (#222)

BenchmarkGLM-5.3-FlashQwen Max
GPQA Diamond90.2%56.1%
LMArena Expert15121248

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), Qwen Max: —

BenchmarkGLM-5.3-FlashQwen Max
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), Qwen Max: 42.0 (#197)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Non-English14621263
LMArena Chinese15291254
LMArena French14951329
LMArena German14571254
LMArena Japanese14201205
LMArena Korean14431141
LMArena Russian14721274
LMArena Spanish14711290

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Qwen Max: 66.7 (#203)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Instruction Following14801262

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), Qwen Max: 39.4 (#175)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Longer Query14791289
Fiction.LiveBench—66.7%

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), Qwen Max: 48.0 (#200)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Text14711282
LMArena Creative Writing14401248
LMArena Multi-Turn14711277

Frequently asked questions

Is GLM-5.3-Flash better than Qwen Max?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 34.4 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Qwen Max?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Qwen Max lists at $1.60 and $6.40.

Is GLM-5.3-Flash or Qwen Max better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 30.3 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 33K.

How many benchmarks do GLM-5.3-Flash and Qwen Max share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Qwen Max has 23.

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