DeepSeek V3.1 vs GLM 5.2
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 V3.1 and GLM 5.2.
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
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,...
Technical Specifications
| Specification | DeepSeek V3.1 | GLM 5.2 |
|---|---|---|
| Provider | DeepSeek | Zhipu AI |
| Context Window | 163,840 tokens | 1,048,576 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-21 | 2026-06-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.1
$0.21
GLM 5.2
$0.93
Output Price per Million Tokens
DeepSeek V3.1
$0.79
GLM 5.2
$3.00
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.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
GLM 5.2 Quirks & Gotchas
No developer gotchas reported.