Noometry

Model comparison

GLM-4.5V vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.7 to 39.8 on the Noometry Index. GLM-4.5V costs 2.7× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Qwen3 Max Alibaba (Qwen)

43.7

Rank #87 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Qwen3 Max in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 37.5.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 72.5% for Qwen3 Max.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
  • Qwen3 Max accepts more context: 262K tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VQwen3 Max
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index39.843.7
Released2025-08-112025-09-23
WeightsOpenProprietary
Context window64K262K
Max output16K66K
Input $ / M tokens$0.60$1.20
Output $ / M tokens$1.80$6
Results tracked1533

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Category by category

Coding Qwen3 Max leads

GLM-4.5V: 39.5 (#155), Qwen3 Max: 43.0 (#93)

BenchmarkGLM-4.5VQwen3 Max
LMArena Coding13471456
ALE-Bench—370.45

Agentic & Tool Use Not comparable

GLM-4.5V: —, Qwen3 Max: —

BenchmarkGLM-4.5VQwen3 Max
Vending-Bench 2—71.56

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), Qwen3 Max: 22.6 (#190)

BenchmarkGLM-4.5VQwen3 Max
Kagi LLM Benchmark59.8%72.5%
LMArena Hard Prompts13341448
NYT Connections (extended)—30.1%
Chess Puzzles—4%
Mystery Game Puzzles—5%
DTBench—82.1%
LMCA—28.3%
Epoch Capabilities Index—142.38

Math Qwen3 Max leads

GLM-4.5V: 37.4 (#159), Qwen3 Max: 38.7 (#131)

BenchmarkGLM-4.5VQwen3 Max
LMArena Math13541446
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
MATH Level 5—97.1%

Knowledge Qwen3 Max leads

GLM-4.5V: 37.5 (#156), Qwen3 Max: 48.1 (#78)

BenchmarkGLM-4.5VQwen3 Max
LMArena Expert13531455
GPQA Diamond—72.6%
SimpleQA Verified—48.7%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), Qwen3 Max: —

BenchmarkGLM-4.5VQwen3 Max
LMArena Vision1154—

Multilingual Qwen3 Max leads

GLM-4.5V: 44.6 (#177), Qwen3 Max: 53.7 (#62)

BenchmarkGLM-4.5VQwen3 Max
LMArena Non-English13031429
LMArena Chinese13371478
LMArena Russian12981428
LMArena Spanish13361462
LMArena French—1449
LMArena German—1463
LMArena Japanese—1397
LMArena Korean—1399

Instruction Following Qwen3 Max leads

GLM-4.5V: 69.2 (#175), Qwen3 Max: 74.8 (#87)

BenchmarkGLM-4.5VQwen3 Max
LMArena Instruction Following13111419

Long Context Qwen3 Max leads

GLM-4.5V: 39.6 (#171), Qwen3 Max: 41.6 (#134)

BenchmarkGLM-4.5VQwen3 Max
LMArena Longer Query13041438
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Qwen3 Max leads

GLM-4.5V: 52.5 (#170), Qwen3 Max: 62.4 (#76)

BenchmarkGLM-4.5VQwen3 Max
LMArena Text13331439
LMArena Creative Writing12951402
LMArena Multi-Turn13321446

Frequently asked questions

Is GLM-4.5V better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.7 to 39.8 on the Noometry Index. GLM-4.5V costs 2.7× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or Qwen3 Max?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Qwen3 Max lists at $1.20 and $6.

Is GLM-4.5V or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 43.0 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Qwen3 Max does, with 262K tokens against 64K.

How many benchmarks do GLM-4.5V and Qwen3 Max share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3 Max has 33.

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