Model comparison

GLM-5.3-Flash vs Qwen3.6 Plus

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 47.5 on the Noometry Index.

Last verified . 27 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Qwen3.6 Plus Alibaba (Qwen)

47.5

Rank #62 Confirmed

Summary

  • They share 27 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Qwen3.6 Plus in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 29.3.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GLM-5.3-Flash and 38.2% for Qwen3.6 Plus.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-Flash and Qwen3.6 Plus specifications
GLM-5.3-FlashQwen3.6 Plus
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index51.847.5
Released2026-08-202026-03-31
WeightsOpenProprietary
Context window1M1M
Max output131K66K
Input $ / M tokens$0.15$0.50
Output $ / M tokens$0.50$3
Results tracked4037

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Qwen3.6 Plus: 40.8 (#130)

Coding benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena WebDev16091461
SciCode51.6%40.7%
LMArena Coding15081467
ALE-Bench303.55670.15
SWE-bench Verified—57.9%
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
FrontierSWE18.1%—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Qwen3.6 Plus: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
APEX-Agents52.8%—
GDP.pdf14%—
Vending-Bench 2—5,115

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Qwen3.6 Plus: 29.3 (#93)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
CritPt15.4%2.9%
Chess Puzzles14%17%
LMArena Hard Prompts14911449
Mystery Game Puzzles8%12%
Epoch Capabilities Index151.88147.65
ARC-AGI-265.8%—
NYT Connections (extended)—60.3%
ARC-AGI-191%—
Thematic Generalization—59.5%
DTBench—81.9%
LMCA—33.1%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Qwen3.6 Plus: 51.8 (#54)

Math benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
FrontierMath (Tiers 1-3)55.8%38.2%
OTIS Mock AIME 2024-202593.9%93.3%
LMArena Math15001450
FrontierMath Tier 417.1%—
ProofBench21%—
FrontierMath (Feb 2025 set)—26.2%
FrontierMath Tier 4 (v1)—8.3%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Qwen3.6 Plus: 56.1 (#45)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
GPQA Diamond90.2%88.4%
LMArena Expert15131454
SimpleQA Verified—44.1%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Qwen3.6 Plus: —

Multimodal benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Qwen3.6 Plus: 53.3 (#70)

Multilingual benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena Non-English14621424
LMArena Chinese15271477
LMArena French14961455
LMArena German14701452
LMArena Japanese14291389
LMArena Korean14461379
LMArena Russian14691434
LMArena Spanish14711432

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Qwen3.6 Plus: 75.0 (#74)

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena Instruction Following14781425

Long Context Too close to call

GLM-5.3-Flash: 45.4 (#39), Qwen3.6 Plus: 45.2 (#49)

Long Context benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena Longer Query14821439
CL-bench—20.3%

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Qwen3.6 Plus: 62.2 (#82)

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashQwen3.6 Plus
LMArena Text14711437
LMArena Creative Writing14421404
LMArena Multi-Turn14671438

Frequently asked questions

Is GLM-5.3-Flash better than Qwen3.6 Plus?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 47.5 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Qwen3.6 Plus?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.

Is GLM-5.3-Flash or Qwen3.6 Plus better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do GLM-5.3-Flash and Qwen3.6 Plus share?

27 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Qwen3.6 Plus has 37.

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