GLM 4.7 Flash 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 4.7 Flash and Qwen3.5-Flash.
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
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 4.7 Flash | Qwen3.5-Flash |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 202,752 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 | 2026-01-19 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
Qwen3.5-Flash
$0.07
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
Qwen3.5-Flash
$0.26
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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 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
Qwen3.5-Flash Quirks & Gotchas
No developer gotchas reported.