DeepSeek makes V4 Pro's 75% discount permanent

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• #0001

  #0001Models & APIr/OpenAIyesterday

  DeepSeek launches API at 1/30th the price of GPT-5.5

  100radar

  DeepSeekHigh-performance LLM API — Radically cheaper than OpenAI/Claude

  The era of high-margin AI APIs may be over. DeepSeek offers a 'good enough' alternative at a fraction of the price, shifting the competition to cost-effectiveness and altering the economics of building AI features.

  • —DeepSeek is 11.5x cheaper on input and 34.5x cheaper on output compared to GPT-5.5, and 28.7x cheaper than Claude Opus on output.
  • —As model performance begins to plateau across the board, price is emerging as the primary competitive axis. This may signal the beginning of the 'good enough' model era.
  • —This makes high-volume use cases, previously blocked by cost, a realistic option for indie products, such as large-scale data processing or frequent API calls.
  • —The market's reaction suggests that AI is not a winner-take-all market, but one where margins will compress as viable, cheaper alternatives emerge.

  Source: www.reddit.com/r/OpenAI/comments/1tm49d0/deepseek_just_pRead original →
• #0002

  #0002Models & APIr/LocalLLaMA3 days ago

  DeepSeek raises $10.29B, commits to open-source models over short-term commercialization

  50radar

  DeepSeekOpen-source LLM developer — known for its `DeepSeek-Coder` model

  DeepSeek has secured a massive $10.29 billion funding round, prioritizing open-source AI development. This signals their emergence as a major, stable player in the open-source camp, joining Meta and Mistral as a key alternative.

  • —The founder's commitment is to continue developing open-source models rather than pursuing immediate commercial goals, ensuring a stable supply of high-quality free models.
  • —The $10.29B financing round provides the capital to compete with major players like OpenAI and Anthropic in the race toward AGI.
  • —Alongside Meta's Llama and Mistral AI, DeepSeek is poised to become a pillar of the open-source ecosystem, offering more alternatives to closed-source APIs.

  Source: www.reddit.com/r/LocalLLaMA/comments/1tkfvvj/deepseek_isRead original →
• #0003

  #0003Models & APIGoogle AI Forum4 days ago

  `Gemini AI Pro` shifts to compute-based usage limits

  70radar

  The old 1,000 AI credits/month base perk is being removed. Usage now depends on prompt complexity, features, and chat length, so heavy Antigravity or Flow sessions need closer cost checks.

  • —Gemini app limits now refresh every 5 hours until the weekly cap is reached; Pro gets 4x the non-subscriber limit.
  • —The limit model counts compute, not just product buckets: longer chats, harder prompts, and feature choice directly affect quota burn.
  • —Flow and Antigravity are first in line for product-based limits plus paid AI credits. Agent-heavy workflows can hit paid top-ups faster.
  • —Removing the included 1,000 AI credits changes the subscription math. Track real session usage before treating Pro as a fixed-cost tool.

  Source: discuss.ai.google.dev/t/usage-limits-in-gemini-ai-pro/14Read original →