GLM 4.7 Flash vs Qwen Plus 0728 (thinking)
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 Qwen Plus 0728 (thinking).
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,...
Qwen Plus 0728 (thinking)
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | GLM 4.7 Flash | Qwen Plus 0728 (thinking) |
|---|---|---|
| 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 | 2025-09-08 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
Qwen Plus 0728 (thinking)
$0.26
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
Qwen Plus 0728 (thinking)
$0.78
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 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
Qwen Plus 0728 (thinking) Quirks & Gotchas
No developer gotchas reported.