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刚刚,DeepSeek V4 Pro正式版发布,多项对标Fable 5

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Merged summary

TL;DR - DeepSeek released the production version of V4 Pro via API, emphasizing strong coding and agent performance at low prices. The report claims it approaches or exceeds competing frontier models on several benchmarks, though no official blog or detailed methodology was available.

  • The API model is DeepSeek-V4-Pro-0813.
  • Reported benchmarks include HLE, Terminal Bench, CyberGym, and DeepSWE.
  • Pricing is ¥3 per million input tokens, ¥0.025 with cache hits, and ¥6 per million output tokens.
  • User testing reportedly found a highly compressed, less readable chain-of-thought style, possibly reducing token usage.

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刚刚,DeepSeek V4 Pro正式版发布,多项对标Fable 5

量子位 Jay 2026-08-13
Public signals N/A
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-12 14:27:56.018407 UTC

TL;DR - DeepSeek released the production version of V4 Pro via API, emphasizing strong coding and agent performance at low prices. The report claims it approaches or exceeds competing frontier models on several benchmarks, though no official blog or detailed methodology was available.

  • The API model is DeepSeek-V4-Pro-0813.
  • Reported benchmarks include HLE, Terminal Bench, CyberGym, and DeepSWE.
  • Pricing is ¥3 per million input tokens, ¥0.025 with cache hits, and ¥6 per million output tokens.
  • User testing reportedly found a highly compressed, less readable chain-of-thought style, possibly reducing token usage.
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