DeepSeek V4 Pro vs GPT-4 Turbo
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 V4 Pro and GPT-4 Turbo.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
GPT-4 Turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Technical Specifications
| Specification | DeepSeek V4 Pro | GPT-4 Turbo |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Agent Suitability | 94/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2024-04-09 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
GPT-4 Turbo
$10.00
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
GPT-4 Turbo
$30.00
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 V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
GPT-4 Turbo Quirks & Gotchas
No developer gotchas reported.