Model comparison

GLM-4.6V vs Qwen3.5 Plus

Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 41.3 on the Noometry Index. GLM-4.6V costs 2.0× less per token, which makes it the better buy when Qwen3.5 Plus's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Qwen3.5 Plus Alibaba (Qwen)

42.9

Rank #106 Confirmed

Summary

  • The widest gap is in knowledge, where Qwen3.5 Plus leads 46.0 to 38.0.
  • GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.40 / $2.40 for Qwen3.5 Plus.
  • Qwen3.5 Plus accepts more context: 1M tokens versus 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6V and Qwen3.5 Plus specifications
GLM-4.6VQwen3.5 Plus
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index41.342.9
Released2025-12-082026-02-16
WeightsOpenProprietary
Context window128K1M
Max output33K66K
Input $ / M tokens$0.30$0.40
Output $ / M tokens$0.90$2.40
Results tracked1215

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Category by category

Coding Not comparable

GLM-4.6V: 40.9 (#128), Qwen3.5 Plus: —

Coding benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
LMArena Coding1390—
ALE-Bench—621.92

Agentic & Tool Use Not comparable

GLM-4.6V: —, Qwen3.5 Plus: —

Agentic & Tool Use benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
Vending-Bench 2—0.54

Reasoning Qwen3.5 Plus leads

GLM-4.6V: 27.6 (#115), Qwen3.5 Plus: 32.8 (#74)

Reasoning benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
Chess Puzzles—22%
LMArena Hard Prompts1368—
Mystery Game Puzzles—17%
DTBench—80.5%
LMCA—36.4%
Epoch Capabilities Index—146.78

Math Not comparable

GLM-4.6V: —, Qwen3.5 Plus: 49.6 (#61)

Math benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
OTIS Mock AIME 2024-2025—86.7%
FrontierMath (Feb 2025 set)—21%
FrontierMath Tier 4 (v1)—2.1%

Knowledge Qwen3.5 Plus leads

GLM-4.6V: 38.0 (#149), Qwen3.5 Plus: 46.0 (#83)

Knowledge benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
GPQA Diamond—84.8%
SimpleQA Verified—25.4%
Vectara Hallucination Rate—10.7%
LMArena Expert1371—

Multimodal Not comparable

GLM-4.6V: 34.8 (#90), Qwen3.5 Plus: —

Multimodal benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
LMArena Vision1164—

Multilingual Not comparable

GLM-4.6V: 48.6 (#141), Qwen3.5 Plus: —

Multilingual benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
LMArena Non-English1359—
LMArena Chinese1425—
LMArena Russian1340—

Instruction Following Not comparable

GLM-4.6V: 71.4 (#151), Qwen3.5 Plus: —

Instruction Following benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
LMArena Instruction Following1352—

Long Context Qwen3.5 Plus leads

GLM-4.6V: 41.3 (#143), Qwen3.5 Plus: 43.0 (#113)

Long Context benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
CL-bench—19.8%
CL-bench Life—12.4%
LMArena Longer Query1358—

Writing & Preference Not comparable

GLM-4.6V: 56.6 (#137), Qwen3.5 Plus: —

Writing & Preference benchmarks
BenchmarkGLM-4.6VQwen3.5 Plus
LMArena Text1377—
LMArena Creative Writing1347—
LMArena Multi-Turn1360—

Frequently asked questions

Is GLM-4.6V better than Qwen3.5 Plus?

Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 41.3 on the Noometry Index. GLM-4.6V costs 2.0× less per token, which makes it the better buy when Qwen3.5 Plus's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6V or Qwen3.5 Plus?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Qwen3.5 Plus lists at $0.40 and $2.40.

Which has the bigger context window?

Qwen3.5 Plus does, with 1M tokens against 128K.

How many benchmarks do GLM-4.6V and Qwen3.5 Plus share?

0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Qwen3.5 Plus has 15.

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