Noometry

Model comparison

GLM-5.3-Flash vs Qwen Max

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 34.7 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Qwen Max Alibaba (Qwen)

34.7

Rank #230 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 53.3 to 22.3.
  • 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 Index51.834.7
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 tracked4023

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Qwen Max: 30.7 (#292)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Coding15081288
DeepSWE63.4%—
FrontierCode31.8%—
Aider Polyglot—21.8%
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Qwen Max: —

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

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Qwen Max: 25.1 (#151)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Hard Prompts14911269
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Qwen Max: 22.3 (#276)

BenchmarkGLM-5.3-FlashQwen Max
OTIS Mock AIME 2024-202593.9%16.1%
LMArena Math15001275
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 (#36), Qwen Max: 30.3 (#228)

BenchmarkGLM-5.3-FlashQwen Max
GPQA Diamond90.2%56.1%
LMArena Expert15131248

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Qwen Max: —

BenchmarkGLM-5.3-FlashQwen Max
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Qwen Max: 41.8 (#202)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Non-English14621263
LMArena Chinese15271254
LMArena French14961330
LMArena German14701254
LMArena Japanese14291205
LMArena Korean14461142
LMArena Russian14691274
LMArena Spanish14711290

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Qwen Max: 66.5 (#208)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Instruction Following14781262

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Qwen Max: 39.4 (#180)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Longer Query14821288
Fiction.LiveBench—66.7%

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Qwen Max: 47.8 (#205)

BenchmarkGLM-5.3-FlashQwen Max
LMArena Text14711282
LMArena Creative Writing14421248
LMArena Multi-Turn14671277

Frequently asked questions

Is GLM-5.3-Flash better than Qwen Max?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 34.7 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: 53.1 versus 30.7 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 40 scored results on Noometry and Qwen Max has 23.

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