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DeepSeek V4 Pro (DeepSeek-V4-Pro-0813) has gone live on the company's API, bringing enhanced agent c...

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The launch advances DeepSeek's open-weight strategy and undercuts premium pricing, but is an incremental step within an already documented trajectory.
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Foundation Models · Case StudiesScaling Laws
DeepSeek AI
DeepSeek AI

Foundation Models / LLMs

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DeepSeek V4 Pro (DeepSeek-V4-Pro-0813) has gone live on the company's API, bringing enhanced agent capabilities that the company says approach or exceed those of Anthropic's Fable 5. The model supports a 1M-token context window and 384K-token maximum output, with both thinking and non-thinking modes. Pricing is set at RMB 3 per million input tokens, RMB 6 per million output tokens, and RMB 0.025 per million cached input tokens (approximately $0.42, $0.84, and $0.0035 respectively). The release follows the earlier V4 Flash update, which had signaled a Pro version would follow.

#DeepSeek V4 Pro#Fable 5#API pricing#agent capabilities#frontier models#cost-performance#related:Fable 5

How This Connects

Based on Foundation Models · Case Studies

  1. 15h agoDeepSeek reportedly nears RMB 80 billion funding round with Tencent and CATLDeepSeek
  2. 1d agoDeepSeek reportedly nears $12 billion round as investor demand lifts its targetDeepSeek
  3. 6d agoAnthropic reportedly secures up to $42B in Broadcom financing for AI infrastructureAnthropic
  4. 1mo agoOpenAI's GPT-6 Astra reportedly runs recurrent-depth transformers — Alibaba-affiliated research already diagnosed the catch.OpenAI
  5. 1mo agoDeepSeek V4 Pro Deep-Dive Finds Post-Training Gains, Extrapolated 1M Context, Kimi K3 ParityDeepSeek
  6. 1mo agoDeepSeek V4 Pro (DeepSeek-V4-Pro-0813) has gone live on the company's API, bringing enhanced agent c... · THIS ARTICLE

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