GLM 4.6V vs Qwen3.5-Flash
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 Qwen3.5-Flash.
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...
Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Technical Specifications
| Specification | GLM 4.6V | Qwen3.5-Flash |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 131,072 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-12-08 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6V
$0.30
Qwen3.5-Flash
$0.07
Output Price per Million Tokens
GLM 4.6V
$0.90
Qwen3.5-Flash
$0.26
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.
Qwen3.5-Flash Quirks & Gotchas
No developer gotchas reported.