DeepSeek-V4-Pro
DeepSeek-V4-Pro is a open-weight model from DeepSeek (CN), released 2026-04-24. It is currently ranked #2 on Hivig’s tracker.
Data status: Under review
- Organization
- DeepSeek
- Country of origin
- CN
- Model type
- open-weight
- Release date
- 2026-04-24
- Current rank
- #2
- Benchmark score
- Not yet sourced (Source not yet verified)
- Market status
- Private — funding data not yet sourced
Cost to build with DeepSeek-V4-Pro
DeepSeek-V4-Pro costs $0.43 per 1M input tokens and $0.87 per 1M output tokens. Prompt/context caching is supported.
Build risk & technical debt
Building agents on DeepSeek-V4-Pro carries low lock-in risk. It requires a routing or orchestration layer to use in production — No documented native MCP integration as of this review — third-party bridges only.. It is open-weight, so it can be self-hosted to avoid ongoing vendor dependency. It's available via Direct API, Self-hostable.
DeepSeek-V4-Pro has none MCP (Model Context Protocol) support. It exposes an OpenAI-compatible API, so most existing agent frameworks can point at it with minimal changes. Its agentic tool-use maturity is rated moderate.
Frequently asked questions
What country is DeepSeek-V4-Pro developed in?
DeepSeek-V4-Pro is developed by DeepSeek, headquartered in China.
How much does DeepSeek-V4-Pro cost to use?
DeepSeek-V4-Pro costs $0.43 per 1M input tokens and $0.87 per 1M output tokens. Prompt/context caching is supported.
What's the lock-in risk of building agents on DeepSeek-V4-Pro?
Building agents on DeepSeek-V4-Pro carries low lock-in risk. It requires a routing or orchestration layer to use in production — No documented native MCP integration as of this review — third-party bridges only.. It is open-weight, so it can be self-hosted to avoid ongoing vendor dependency. It's available via Direct API, Self-hostable.
Does DeepSeek-V4-Pro support MCP or an OpenAI-compatible API?
DeepSeek-V4-Pro has none MCP (Model Context Protocol) support. It exposes an OpenAI-compatible API, so most existing agent frameworks can point at it with minimal changes. Its agentic tool-use maturity is rated moderate.