GLM 4.5 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 4.5 and Qwen3 VL 235B A22B Instruct.
GLM 4.5
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
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...
Technical Specifications
| Specification | GLM 4.5 | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-07-25 | 2025-09-23 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5
$0.60
Qwen3 VL 235B A22B Instruct
$0.20
Output Price per Million Tokens
GLM 4.5
$2.20
Qwen3 VL 235B A22B Instruct
$0.88
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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 4.5 Quirks & Gotchas
No developer gotchas reported.
Qwen3 VL 235B A22B Instruct Quirks & Gotchas
No developer gotchas reported.