DeepSeek V3.2 vs GPT-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 GPT-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...
GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
Technical Specifications
| Specification | DeepSeek V3.2 | GPT-5 |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Context Window | 131,072 tokens | 400,000 tokens |
| Agent Suitability | N/A | 92/100 |
| Time to First Token (TTFT) | N/A | 320 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-12-01 | 2025-08-07 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2
$0.23
GPT-5
$1.25
Output Price per Million Tokens
DeepSeek V3.2
$0.34
GPT-5
$10.00
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 V3.2 Quirks & Gotchas
No developer gotchas reported.
GPT-5 Quirks & Gotchas
- ▸Reliable all-rounder — use as default for most production workflows
- ▸Not recommended for advanced reasoning chains — use o3-mini instead