Using DeepSeek V4 Pro on DeepSeek Platform
Implementation guide · DeepSeek V4 · DeepSeek
DeepSeek Platform exposes DeepSeek V4 Pro through model ID deepseek-v4-pro. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-24. Next refresh: weekly.
Quick Start
- 1
- 2Use the DeepSeek Platform SDK or REST API to call
deepseek-v4-pro— see the documentation for request format. - 3
Code Examples
Pricing on DeepSeek Platform
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.43 |
| Output tokens | $0.87 |
Capabilities
About DeepSeek V4 Pro
DeepSeek V4 Pro is DeepSeek's flagship open-weights model, released April 24 2026 under the MIT license. Architecture: 1.6T total / 49B active parameters, MoE with Compressed Sparse Attention (CSA) + Heavily Compressed Attention (HCA) hybrid — requiring only 27% of inference FLOPs vs standard 1M-context transformers — plus Manifold-Constrained Hyper-Connections (mHC) and Muon Optimizer. Context window: 1,000,000 tokens; max output: 384,000 tokens (Think Max mode requires >=384K context). Text-only (no vision/image input). Supports three reasoning modes: Non-Think, Think High, Think Max. Function calling, tool use, and structured outputs supported.