Noometry

Model comparison

GLM-4.5V vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 39.2 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.3

Rank #105 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5-Flash leads 32.9 to 26.5.
  • Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • Qwen3.5-Flash accepts more context: 1M tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VQwen3.5-Flash
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index39.242.3
Released2025-08-112026-02-23
WeightsOpenProprietary
Context window64K1M
Max output16K66K
Input $ / M tokens$0.60$0.10
Output $ / M tokens$1.80$0.40
Results tracked1532

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-4.5V leads

GLM-4.5V: 38.9 (#152), Qwen3.5-Flash: 33.9 (#234)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Coding13471412
LMArena WebDev—1243
ALE-Bench—221.8

Agentic & Tool Use Not comparable

GLM-4.5V: —, Qwen3.5-Flash: —

BenchmarkGLM-4.5VQwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

GLM-4.5V: 26.5 (#118), Qwen3.5-Flash: 32.9 (#63)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Hard Prompts13351404
Kagi LLM Benchmark59.8%—
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%
Epoch Capabilities Index—143.98

Math Qwen3.5-Flash leads

GLM-4.5V: 34.7 (#157), Qwen3.5-Flash: 36.3 (#117)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Math13531407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

GLM-4.5V: 36.8 (#155), Qwen3.5-Flash: 43.2 (#84)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Expert13531408
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%

Multimodal Not comparable

GLM-4.5V: 33.6 (#86), Qwen3.5-Flash: —

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Vision1154—

Multilingual Qwen3.5-Flash leads

GLM-4.5V: 44.9 (#172), Qwen3.5-Flash: 50.7 (#116)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Non-English13041385
LMArena Chinese13381446
LMArena Russian12991379
LMArena Spanish13351399
LMArena French—1412
LMArena German—1389
LMArena Japanese—1369
LMArena Korean—1344

Instruction Following Qwen3.5-Flash leads

GLM-4.5V: 69.4 (#170), Qwen3.5-Flash: 72.8 (#133)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Instruction Following13111374

Long Context Qwen3.5-Flash leads

GLM-4.5V: 39.6 (#166), Qwen3.5-Flash: 42.4 (#119)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Longer Query13051392

Writing & Preference Qwen3.5-Flash leads

GLM-4.5V: 52.7 (#162), Qwen3.5-Flash: 58.2 (#117)

BenchmarkGLM-4.5VQwen3.5-Flash
LMArena Text13331397
LMArena Creative Writing12951343
LMArena Multi-Turn13331393

Frequently asked questions

Is GLM-4.5V better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 39.2 on the Noometry Index.

Which is cheaper, GLM-4.5V or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Qwen3.5-Flash better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 33.9 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 64K.

How many benchmarks do GLM-4.5V and Qwen3.5-Flash share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3.5-Flash has 32.

Related comparisons

Go deeper