DeepSeek V4 Pro is built around agent-style work rather than pure chat, designed to call tools, execute code, and carry multi-step workflows to completion. Its general-availability release, designated DeepSeek-V4-Pro-0813, was made available across DeepSeek's app, web, and API after a preview phase that began in April, signaling a shift from preview experimentation to production-style deployment. DeepSeek positioned the model explicitly for agent capabilities, framing Terminal Bench 2.1, DeepSWE, and NL2Repo as the relevant evaluation lenses because they measure whether a system can actually deliver results rather than just answer questions.
On those agent benchmarks, the GA version reached 87.9 on Terminal Bench 2.1, 62.7 on DeepSWE, and 61.5 on NL2Repo, with the Terminal Bench result sitting only fractionally behind leading Western frontier systems while undercutting them sharply on price. The model operates with up to a one-million-token context window and can produce outputs up to 384,000 tokens, supporting both thinking and non-thinking modes so developers can tune reasoning depth to task complexity. It also offers OpenAI Responses API compatibility out of the box, including Codex integration, making it a practical drop-in option for teams building coding assistants, automated debugging pipelines, and long-horizon research agents where deep tool use and sustained context matter most.
