# DeepSeek-V4-Pro GA Delivers Agent Upgrades and OpenAI Responses API Parity > The August 13, 2026, general availability rollout adds production agent enhancements, three reasoning effort levels, and direct compatibility with OpenAI's Responses API format to the 1.6T parameter MoE model. *Published 2026-08-13 · By Marcus Vance* DeepSeek-V4-Pro is a Mixture-of-Experts language model from DeepSeek with 1.6 trillion total parameters, 49 billion active parameters, and one million token context length that entered general availability with production agent upgrades. DeepSeek announced the general availability of DeepSeek-V4-Pro on August 13, 2026, marking a targeted advance in open-source model capabilities for agent-driven applications. ## What background and context surround the DeepSeek-V4 series? The preview release of the DeepSeek-V4 series occurred on April 24, 2026, and included open weights for both variants hosted on Hugging Face. That earlier version already demonstrated enhanced agentic capabilities and positioned the models as competitive in agentic coding benchmarks at the time of the preview launch. The series employs a Mixture-of-Experts design that activates only a fraction of total parameters during inference, supporting efficient scaling for large context windows. ## What distinguishes the general availability features of DeepSeek-V4-Pro? The GA version introduces major agent upgrades focused on production environment reliability and performance gains for real-world deployment scenarios. Native support for the OpenAI Responses API format was added, with specific optimizations for Codex that enable one-click setup for developers already using that ecosystem. Access is provided immediately through Expert Mode on the app and web at chat.deepseek.com as well as through the API under the model identifier deepseek-v4-pro. ## How do the reasoning effort modes function across different tasks? Three discrete thinking effort levels give users control over the depth of reasoning applied to each query or workflow. - Low effort for simple tasks that require rapid responses with minimal computation. - High effort for standard daily agent workflows that involve moderate multi-step reasoning. - Max effort for complex scenarios that demand deeper analysis and extended tool interactions. This tiered system allows balancing of latency, cost, and output quality depending on the specific requirements of the agent task. ## What technical specifications and benchmarks define the model? DeepSeek-V4-Pro maintains 1.6 trillion total parameters with 49 billion activated per token and a standard context length of one million tokens. The model also records 42.7 on HLE without tools and 60.0 with tools, indicating solid performance on knowledge-intensive benchmarks both with and without external assistance. Specifications and benchmark results for DeepSeek-V4 model variants from the general availability documentation.Model VariantTotal ParametersActive ParametersContext LengthTerminal Bench 2.1 ScoreDeepSeek-V4-Pro1.6T49B1 million tokens87.9DeepSeek-V4-Flash284B13B1 million tokensNot reported ## What market and stakeholder implications arise from the release? The GA launch strengthens the role of open-source MoE models in complex workflow applications by delivering features previously associated with closed-source offerings. Developers and enterprises gain a production-ready option that supports direct API parity, lowering switching costs and enabling broader experimentation with agent architectures. The prior open-weight release on Hugging Face continues to facilitate community fine-tuning and specialized adaptations for domain-specific agent tasks. ## What reactions have followed the DeepSeek-V4-Pro announcement? The official launch statement emphasized production gains and broad accessibility across interfaces and the API. > We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks. 🔷 Native OpenAI Responses API support, optimized for Codex with one-click setup. V4 Pro is now available on app/web. Try it via “Expert Mode”. V4 Pro is also available via API.DeepSeek, Official account The communication highlights immediate availability and the combination of agent enhancements with API compatibility as central selling points. ## What developments are anticipated next for the series? Subsequent updates are expected to build on user feedback from the current release to refine agent reliability and expand supported workflow patterns. Further API interoperability improvements and efficiency gains in the MoE routing mechanism represent logical areas for continued investment. The open-source foundation established in the preview phase supports ongoing community-driven extensions that could accelerate adoption across additional enterprise use cases. ## Sources 1. [The GA release of DeepSeek-V4-Pro has been rolled out on the APP, Web, and API. Significantly enhanced Agent capabilities. Terminal Bench 2.1: 87.9. Native support for the Responses API. More flexible thinking effort control with three levels: low / high / max.](https://api-docs.deepseek.com/updates/) 2. [DeepSeek-V4 Preview is officially live and open-sourced with enhanced agentic capabilities as open-source SOTA in agentic coding benchmarks.](https://api-docs.deepseek.com/news/news260424/) 3. [DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated), both supporting a context length of one million tokens.](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro) 4. [Launch announcement of DeepSeek-V4-Pro with agent upgrades, reasoning effort modes, and native OpenAI Responses API support.](https://x.com/deepseek_ai/status/2087864585504305397) --- Source: https://aiintelreport.com/frontier-models/deepseek-v4-pro-ga-agent-upgrades Index: https://aiintelreport.com/llms.txt · Full text: https://aiintelreport.com/llms-full.txt