GLM 5.2 vs Qwen2.5 Coder 32B 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 5.2 and Qwen2.5 Coder 32B Instruct.
GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Qwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Technical Specifications
| Specification | GLM 5.2 | Qwen2.5 Coder 32B Instruct |
|---|---|---|
| Provider | Zhipu AI | Alibaba |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-06-16 | 2024-11-11 |
API Pricing Comparison
Input Price per Million Tokens
GLM 5.2
$0.93
Qwen2.5 Coder 32B Instruct
$0.66
Output Price per Million Tokens
GLM 5.2
$3.00
Qwen2.5 Coder 32B Instruct
$1.00
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 5.2 Quirks & Gotchas
No developer gotchas reported.
Qwen2.5 Coder 32B Instruct Quirks & Gotchas
No developer gotchas reported.