GLM 4.5V vs Qwen3.5-27B
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 4.5V and Qwen3.5-27B.
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Technical Specifications
| Specification | GLM 4.5V | Qwen3.5-27B |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 65,536 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 | 2025-08-11 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5V
$0.60
Qwen3.5-27B
$0.20
Output Price per Million Tokens
GLM 4.5V
$1.80
Qwen3.5-27B
$1.56
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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 4.5V Quirks & Gotchas
No developer gotchas reported.
Qwen3.5-27B Quirks & Gotchas
No developer gotchas reported.