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GLM 4.6V vs Qwen3 VL 235B A22B Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.6V and Qwen3 VL 235B A22B Thinking.

Zhipu AI

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

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Alibaba

Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

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Technical Specifications

SpecificationGLM 4.6VQwen3 VL 235B A22B Thinking
ProviderZhipu AIAlibaba
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-082025-09-23

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6V

$0.30

Qwen3 VL 235B A22B Thinking

$0.26

Output Price per Million Tokens

GLM 4.6V

$0.90

Qwen3 VL 235B A22B Thinking

$2.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GLM 4.6V Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 235B A22B Thinking Quirks & Gotchas

No developer gotchas reported.