DeepSeek V4 Pro
DeepSeek
DeepSeek-V4 series incorporate several key upgrades in architecture and optimization: (1) a hybrid attention architecture that combines Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to improve long-context efficiency; (2) ManifoldConstrained Hyper-Connections (mHC) that enhance conventional residual connections; (3) and the Muon optimizer for faster convergence and greater training stability
- Language
- Implicit caching
- Reasoning
- Tool use
- Structured output
- open weights
- Context
- 1M
- Max output
- 384K
- Input / 1M
- $0.660
- Output / 1M
- $1.98
Quickstart
Point any OpenAI-compatible client at Maxynetic Systems and pass deepseek/deepseek-v4-pro as the model.
curl https://api.maxynetic.com/v1/chat/completions \
-H "Authorization: Bearer $MAXYNETIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4-pro",
"messages": [{ "role": "user", "content": "Explain routing in one line." }]
}'Pricing
Billed per token with no markup on the underlying provider rate.
Input
Per 1M prompt tokens
$0.660
Output
Per 1M completion tokens
$1.98
Cache read
Per 1M cached prompt tokens
$0.022
A 1M-token prompt with 250K tokens of output costs about $1.16.
Rates for this model vary by upstream provider; Maxynetic Systems routes to the cheapest healthy one by default.