Noometry

Model comparison

GLM-5.3-Flash vs Qwen3.6 Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 38.8 on the Noometry Index.

Last verified . 7 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Qwen3.6 Flash Alibaba (Qwen)

38.8

Rank #182 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GLM-5.3-Flash scores higher in 3 categories and Qwen3.6 Flash in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 29.0.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GLM-5.3-Flash and 22.5% for Qwen3.6 Flash.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashQwen3.6 Flash
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index51.838.8
Released2026-08-202026-04-27
WeightsOpenProprietary
Context window1M1M
Max output131K66K
Input $ / M tokens$0.15$0.19
Output $ / M tokens$0.50$1.13
Results tracked4013

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Category by category

Coding Not comparable

GLM-5.3-Flash: 53.1 (#31), Qwen3.6 Flash: —

BenchmarkGLM-5.3-FlashQwen3.6 Flash
ALE-Bench303.55326.4
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
LMArena Coding1508—

Agentic & Tool Use Not comparable

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

BenchmarkGLM-5.3-FlashQwen3.6 Flash
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Qwen3.6 Flash: 29.0 (#96)

BenchmarkGLM-5.3-FlashQwen3.6 Flash
Chess Puzzles14%20%
Mystery Game Puzzles8%18%
Epoch Capabilities Index151.88143.26
ARC-AGI-265.8%—
SimpleBench—35.2%
ARC-AGI-191%—
CritPt15.4%—
LMArena Hard Prompts1491—
DTBench—77.1%
LMCA—31%
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 Flash: 39.0 (#117)

BenchmarkGLM-5.3-FlashQwen3.6 Flash
FrontierMath (Tiers 1-3)55.8%22.5%
OTIS Mock AIME 2024-202593.9%84.4%
FrontierMath Tier 417.1%—
ProofBench21%—
LMArena Math1500—
FrontierMath (Feb 2025 set)—10.3%
FrontierMath Tier 4 (v1)—0%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Qwen3.6 Flash: 42.1 (#100)

BenchmarkGLM-5.3-FlashQwen3.6 Flash
GPQA Diamond90.2%83.3%
SimpleQA Verified—15.9%
LMArena Expert1513—

Multimodal Not comparable

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

BenchmarkGLM-5.3-FlashQwen3.6 Flash
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), Qwen3.6 Flash: —

BenchmarkGLM-5.3-FlashQwen3.6 Flash
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.5 (#20), Qwen3.6 Flash: —

BenchmarkGLM-5.3-FlashQwen3.6 Flash
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), Qwen3.6 Flash: —

BenchmarkGLM-5.3-FlashQwen3.6 Flash
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.3 (#50), Qwen3.6 Flash: —

BenchmarkGLM-5.3-FlashQwen3.6 Flash
LMArena Text1471—
LMArena Creative Writing1442—
LMArena Multi-Turn1467—

Frequently asked questions

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

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 38.8 on the Noometry Index.

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

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.6 Flash lists at $0.19 and $1.13.

Which has the bigger context window?

Both accept 1M tokens.

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

7 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Qwen3.6 Flash has 13.

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