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

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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 & APIHacker News · AI3 days ago

  DeepSeek makes V4 Pro's 75% discount permanent

  100radar

  DeepSeekAI research company — Offers open-source and API models

  The deepseek-v4-pro API has made its promotional 75% discount permanent. This makes it one of the cheapest options in the GPT-4/Claude 3 performance tier, a potential game-changer for cost-sensitive projects.

  • —The model's price is now permanently 1/4 of its original price, shifting from a temporary promotion to a long-term pricing strategy.
  • —This is a clear strategic move to gain a significant price advantage over competitors like OpenAI and Anthropic, likely pressuring the market towards lower prices.
  • —It presents an opportunity to drastically reduce operational costs for token-heavy applications like RAG or large-scale data processing.

  Source: api-docs.deepseek.com/quick_start/pricingRead 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 →