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GLM 4.6 vs Qwen3 VL 235B A22B Instruct

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 4.6 and Qwen3 VL 235B A22B Instruct.

Zhipu AI

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

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Alibaba

Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

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Technical Specifications

SpecificationGLM 4.6Qwen3 VL 235B A22B Instruct
ProviderZhipu AIAlibaba
Context Window202,752 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-302025-09-23

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6

$0.43

Qwen3 VL 235B A22B Instruct

$0.20

Output Price per Million Tokens

GLM 4.6

$1.74

Qwen3 VL 235B A22B Instruct

$0.88

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 4.6 Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 235B A22B Instruct Quirks & Gotchas

No developer gotchas reported.