DeepSeek-V4-Pro Update The GA release of DeepSeek-V4-Pro has been rolled out on the APP, Web, and API. The API calling method remains unchanged — simply set the model name to deepseek-v4-pro to use the latest version. Significantly enhanced Agent capabilities The GA version of DeepSeek V4 Pro greatly enhances agent capabilities, with particularly significant performance improvements in production environments. HLE (wo / w tools): 42.7/60.0 Terminal Bench 2.1: 87.9 NL2Repo: 61.5 Cybergym: 83.3 DeepSWE: 62.7 Toolathlon-Verified: 74.1 Agents' Last Exam: 25.7 AutomationBench (Public): 31.8 DSBench-FullStack: 71.1 DSBench-Hard: 67.2 Native support for the Responses API The DeepSeek API now natively supports the OpenAI Responses API format and is specifically adapted for Codex. Users can refer to the official documentation and complete the Codex configuration with a one-click configuration script. More flexible thinking effort control The thinking modes of V4-Pro and V4-Flash now support three thinking effort levels: low / high / max. In real-world usage, users can flexibly choose based on task complexity: use low for simple tasks, high for daily Agent tasks, and max for more complex s
Open original sourceDeepSeek-V4-Pro Update
DeepSeek-V4-Pro Update The GA release of DeepSeek-V4-Pro has been rolled out on the APP, Web, and API. The API calling method remains unchanged — simply set the model name to deepseek-v4-pro to use the latest version. Significantly enhanced Agent capabilities The GA version of DeepSeek V4 Pro greatly enhances agent capabilities, with particularly significant performance improvements in production environments. HLE (wo / w tools): 42.7/60.0 Terminal Bench 2.1: 87.9 NL2Repo: 61.5 Cybergym: 83.3 DeepSWE: 62.7 Toolathlon-Verified: 74.1 Agents' Last Exam: 25.7 AutomationBench (Public): 31.8 DSBench-FullStack: 71.1 DSBench-Hard: 67.2 Native support for the Responses API The DeepSeek API now natively supports the OpenAI Responses API format and is specifically adapted for Codex. Users can refer to the official documentation and complete the Codex configuration with a one-click configuration script. More flexible thinking effort control The thinking modes of V4-Pro and V4-Flash now support three thinking effort levels: low / high / max. In real-world usage, users can flexibly choose based on task complexity: use low for simple tasks, high for daily Agent tasks, and max for more complex s
Evidence chain
External discussion
No reviewed external discussion has been linked yet. This does not change the evidence confidence.