DeepSeek V3.2 Exp vs GPT-3.5 Turbo 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 DeepSeek V3.2 Exp and GPT-3.5 Turbo Instruct.
DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
GPT-3.5 Turbo Instruct
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Technical Specifications
| Specification | DeepSeek V3.2 Exp | GPT-3.5 Turbo Instruct |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Context Window | 163,840 tokens | 4,095 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 | 2025-09-29 | 2023-09-28 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2 Exp
$0.27
GPT-3.5 Turbo Instruct
$1.50
Output Price per Million Tokens
DeepSeek V3.2 Exp
$0.41
GPT-3.5 Turbo Instruct
$2.00
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 Exp Quirks & Gotchas
No developer gotchas reported.
GPT-3.5 Turbo Instruct Quirks & Gotchas
No developer gotchas reported.