Model comparison

GLM-5.3 vs Qwen-VL Max

GLM-5.3 has enough public results to be ranked (#25); Qwen-VL Max does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.6

Rank #25 Confirmed

Qwen-VL Max Alibaba (Qwen)

35.3

Unranked Sparse

Summary

  • Qwen-VL Max is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
  • GLM-5.3 accepts more context: 1M tokens versus 131K.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3 and Qwen-VL Max specifications
GLM-5.3Qwen-VL Max
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index54.635.3
Released2026-08-142024-01-18
WeightsOpenProprietary
Context window1M131K
Max output131K8K
Input $ / M tokens$1.40$0.80
Output $ / M tokens$4.40$3.20
Results tracked413

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Category by category

Coding Not comparable

GLM-5.3: 59.0 (#12), Qwen-VL Max: —

Coding benchmarks
BenchmarkGLM-5.3Qwen-VL Max
DeepSWE69%—
FrontierCode40.1%—
LMArena WebDev1623—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1499—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.3 (#34), Qwen-VL Max: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Qwen-VL Max
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning Not comparable

GLM-5.3: 45.2 (#42), Qwen-VL Max: —

Reasoning benchmarks
BenchmarkGLM-5.3Qwen-VL Max
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1491—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.56—

Math Not comparable

GLM-5.3: 62.1 (#27), Qwen-VL Max: —

Math benchmarks
BenchmarkGLM-5.3Qwen-VL Max
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1493—

Knowledge Not comparable

GLM-5.3: 58.3 (#34), Qwen-VL Max: —

Knowledge benchmarks
BenchmarkGLM-5.3Qwen-VL Max
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1512—

Multimodal Not comparable

GLM-5.3: —, Qwen-VL Max: 31.6 (#97)

Multimodal benchmarks
BenchmarkGLM-5.3Qwen-VL Max
LMArena Vision—1212
Video-MME—51.3%
SpatialViz-Bench—32%

Multilingual Not comparable

GLM-5.3: 55.9 (#27), Qwen-VL Max: —

Multilingual benchmarks
BenchmarkGLM-5.3Qwen-VL Max
LMArena Non-English1457—
LMArena Chinese1523—
LMArena French1499—
LMArena German1505—
LMArena Japanese1438—
LMArena Korean1478—
LMArena Russian1460—
LMArena Spanish1444—

Instruction Following Not comparable

GLM-5.3: 77.8 (#15), Qwen-VL Max: —

Instruction Following benchmarks
BenchmarkGLM-5.3Qwen-VL Max
LMArena Instruction Following1481—

Long Context Not comparable

GLM-5.3: 45.5 (#32), Qwen-VL Max: —

Long Context benchmarks
BenchmarkGLM-5.3Qwen-VL Max
LMArena Longer Query1485—

Writing & Preference Not comparable

GLM-5.3: 75.9 (#6), Qwen-VL Max: —

Writing & Preference benchmarks
BenchmarkGLM-5.3Qwen-VL Max
LMArena Text1473—
LMArena Creative Writing1459—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1473—

Frequently asked questions

Is GLM-5.3 better than Qwen-VL Max?

GLM-5.3 has enough public results to be ranked (#25); Qwen-VL Max does not yet, so treat this comparison as directional.

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

Qwen-VL Max is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 131K.

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

0 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and Qwen-VL Max has 3.

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