DeepSeek V4 Pro
DeepSeek's flagship 1.6T parameter Mixture-of-Experts model, delivering frontier-class coding, math, and agentic reasoning with an ultra-efficient 1M context window.
Get API key- Provider
- DeepSeek
- Price
- $1.73 in · $3.80 out / 1M
- Context window
- 1M tokens
- Released
- April 24, 2026
- License
- MIT
What is DeepSeek V4 Pro?
DeepSeek V4 Pro is a flagship 1.6-trillion parameter Mixture-of-Experts (MoE) open-weight model released in April 2026. It features 49 billion active parameters, a massive 1-million-token context window, and an advanced hybrid attention architecture. It delivers world-class reasoning, agentic coding, and deep world knowledge, rivaling top closed-source models.
Use it privately on Venice
On Venice, you can access DeepSeek V4 Pro under our anonymized privacy tier, ensuring your prompts are forwarded without storing your personal history. While served via a third-party provider that may retain prompt data per their policies, Venice acts as a protective buffer by stripping your identity. This lets you leverage its massive 1M context and agentic reasoning without direct Big Tech surveillance.
What can it do?
- •State-of-the-art agentic coding capabilities, seamlessly integrating with AI agents like Claude Code and OpenClaw.
- •Ultra-efficient Hybrid Attention (CSA + HCA) reducing KV cache to 10% and inference FLOPs to 27% compared to previous generations.
- •Massive 1-million-token context window supported natively, ideal for digesting entire codebases or long documents.
- •Excellent reasoning, math, and STEM capabilities, rivaling top-tier proprietary models.
- •MIT license allows complete sovereignty, enabling organizations to self-host and modify the weights freely.
- •Not natively uncensored; retains built-in alignment and safety guardrails from the creator.
- •Served via a third-party provider on Venice, meaning Venice forwards requests anonymized, but the endpoint provider may retain prompt data.
- •Requires massive hardware infrastructure to self-host due to its 1.6T total parameter size.
DeepSeek V4 Pro capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use it via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call deepseek-v4-pro.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-pro",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $1.73 per 1M input tokens and $3.80 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
DeepSeek V4 Pro vs alternatives
| Model | Context window | Open weights | Price (Venice) | Primary strength |
|---|---|---|---|---|
| DeepSeek V4 Pro | 1M tokens | Yes | $1.73 / $3.80 | Agentic coding & reasoning |
| Claude Sonnet 4.6 | 1M tokens | No | $3.60 / $18 | Software engineering & general intelligence |
| DeepSeek V3.2 | 160K tokens | Yes | $0.33 / $0.48 | Low-cost coding & chat |
| Grok 4.3 | 1M tokens | No | $1.42 / $2.83 | Real-time search & reasoning |
The open-weight leader in cost-effective long-context reasoning.
What is it good for?
- •Repository-scale agentic coding and automated software engineering.
- •Analyzing extremely long documents, legal contracts, or full books within the 1M context window.
- •Complex mathematical reasoning and multi-step scientific problem solving.
- •Structured data extraction and JSON generation from massive unstructured datasets.
Prompting tips
- •Utilize its native tool use and function calling capabilities for complex agentic workflows.
- •For massive codebases, feed the entire repository structure into the 1M context window to get holistic refactoring suggestions.
- •Use structured output schemas (JSON) to reliably parse complex reasoning steps.
Version history
Initial flagship MoE model.
Incremental upgrade with improved coding and reasoning.
CurrentCurrent flagship with 1M context, hybrid attention, and 1.6T parameters.
Frequently asked questions
DeepSeek V4 Pro is a flagship 1.6-trillion parameter Mixture-of-Experts (MoE) language model released by DeepSeek in April 2026. It features 49 billion active parameters, a 1-million-token context window, and advanced reasoning capabilities optimized for coding and agentic tasks.
On Venice, DeepSeek V4 Pro is billed per token at $1.73 per 1M input tokens and $3.80 per 1M output tokens, with cached inputs priced at $0.33 per 1M.
DeepSeek V4 Pro is an open-weight model released under the permissive MIT license. While you can download and self-host the weights for free, running it on Venice's hosted API incurs a low per-token cost.
Yes. DeepSeek V4 Pro natively supports tool use (function calling), reasoning, web search, and structured JSON output, making it highly optimized for agentic workflows.
DeepSeek V4 Pro offers comparable agentic coding and reasoning performance to Claude Sonnet 4.6 but at a fraction of the cost ($1.73/$3.80 vs $3.60/$18.00 per million tokens) and with the added sovereignty of open weights.
Venice forwards your requests anonymized without storing your prompt history. However, because this model is served via a third-party provider, that provider may retain and train on prompt data per their own policies.
DeepSeek V4 Pro supports a massive 1-million-token (1,000K) context window, allowing you to process entire codebases, technical manuals, or extensive documents in a single prompt.
Related models
Run DeepSeek V4 Pro privately.
No prompt logging. No data used for training. Free to start — no credit card.
