DeepSeek V3.2 vs GLM 5
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 DeepSeek V3.2 and GLM 5.
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
GLM 5
GLM-5 is Z.aiโs flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Technical Specifications
| Specification | DeepSeek V3.2 | GLM 5 |
|---|---|---|
| Provider | DeepSeek | Zhipu AI |
| Context Window | 131,072 tokens | 202,752 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-12-01 | 2026-02-11 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2
$0.23
GLM 5
$0.60
Output Price per Million Tokens
DeepSeek V3.2
$0.34
GLM 5
$1.92
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.
DeepSeek V3.2 Quirks & Gotchas
No developer gotchas reported.
GLM 5 Quirks & Gotchas
No developer gotchas reported.