GLM 4.6 vs Qwen2.5 7B 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 4.6 and Qwen2.5 7B Instruct.
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Technical Specifications
| Specification | GLM 4.6 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 202,752 tokens | 131,072 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 | 2025-09-30 | 2024-10-16 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6
$0.43
Qwen2.5 7B Instruct
$0.04
Output Price per Million Tokens
GLM 4.6
$1.74
Qwen2.5 7B Instruct
$0.10
Want to test both models live?
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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 4.6 Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 7B Instruct Quirks & Gotchas
No developer gotchas reported.