DeepSeek-V4-Pro has been launched with major agent upgrades that enhance production performance. It features flexible reasoning capabilities for various task complexities and offers native support for the OpenAI Responses API, optimized for Codex with one-click setup.

DeepSeek Harness is now available in developer preview, allowing agent harness developers access to its source code. All capabilities, including models, tools, skills, sessions, and UI, are designed as plugins that can be swapped or recomposed.

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 XユーザーのDeepSeekさん: 「API pricing update 💰 With the V4 lineup release, we’re updating our API pricing and introducing peak and o...

DeepSeek is a platform that requires users to sign up or log in to access its features. By doing so, users consent to DeepSeek's Terms of Service and Privacy Policy.

The DeepSeek-V4-Flash API is now in public beta, with no changes to the API calling method; users can access it by setting the model name to deepseek-v4-flash. Benchmark scores for various tools include Terminal Bench 2.1 at 82.7, NL2Repo at 54.2, and Cybergym at 76.7.

DeepSeek V4 Pro is available at 5% of the cost of Claude and offers a range of features including hash-anchored edits, a sticky prefix cache, and autonomous loops for production code. It has been used for various applications such as training dose-prediction models for radiotherapy and developing a financial research agent, with no associated charges.

The GitHub repository "huggingface/open-r1" provides a fully open reproduction of the DeepSeek-R1 model. It includes scripts for installation, training, evaluation, and data generation, aiming to enable users to reproduce and build upon the R1 pipeline.

Posted by vinhnx. Score: 86 points. Comments: 63.

DeepSeek-V4-Flash is being implemented on the AMD MI300X, which launched in December 2023 as AMD's competitor to NVIDIA's H100 and H200 AI accelerators. The MI300X aims to address the current compute shortage while building an inference cloud for high-volume AI tasks.

DeepSeek API pricing is based on the number of tokens processed, charging per 1 million tokens for both input and output. The models available include deepseek-v4-flash and deepseek-v4-pro, accessible via specified base URLs for OpenAI and Anthropic formats.