DeepSeek released V4-Pro, an open-source model matching top closed-source models on benchmarks with 1M token context and agent framework optimization.
DeepSeek released V4 and V4-Pro, open-source models that benchmark competitively with Anthropic Claude Opus 4.6, OpenAI GPT-5.4, and Google Gemini 3.1. V4-Pro features a 1 million token context window (now default across all DeepSeek services), architectural improvements to the attention mechanism for long-context efficiency, and explicit optimization for agent frameworks including Claude Code, OpenClaw, and CodeBuddy. An internal survey of 85 experienced developers found over 90% ranked V4-Pro among their top model choices for coding tasks.
V4-Pro's attention architecture rewrite makes 1M token context genuinely usable, not just a marketing number — critical for codebase-wide refactors, long agent chains, and RAG over large repos. The explicit optimization for Claude Code and other agentic frameworks means you can drop it into existing pipelines without re-prompting from scratch. It outperforms every other open-source model on coding and STEM, which means self-hosted or locally-run deployments are now a credible swap for GPT-5 or Claude Opus on coding tasks.
Run V4-Pro through your existing code review or generation prompt this week against your current model — compare output quality and latency on a real task, then price out the cost delta between hosted API and self-hosting.
Install the DeepSeek SDK: pip install openai and point base_url to https://api.deepseek.com
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