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4 outlets·5 reports·over 32h

Anthropic and OpenAI announce more powerful (and cheaper) AI models

ThinkingNews Desk · how this was written

Anthropic and OpenAI have unveiled new AI models that promise higher performance at lower cost. Anthropic’s Opus 5.5 improves coding speed and reduces cache read costs, while OpenAI’s GPT-6 Sol and Luna focus on efficiency and speed. Both companies are cutting prices to stay competitive, and OpenAI has released the MentalHealthBench benchmark. Additionally, Anthropic and OpenEvidence will provide free medical AI tools to doctors in roughly 100 low- and middle-income countries.

Written from all 4 reports below, not from any single one.

How it was reported

  1. Engadget·
    Anthropic and OpenAI announce more powerful (and cheaper) AI models
  2. Ars Technica·
    New Anthropic, OpenAI models make same promise: A little more for a lot less money

    Anthropic released Opus 5.5, which improves coding performance and increases generation speed by 30% while reducing cache read costs by 60%. Simultaneously, OpenAI introduced GPT-6 Sol and Luna to prioritize efficiency and speed. Both companies are lowering prices to maintain competitiveness against open-weight models and enterprise-focused model routers.

  3. TechMeme·
    Anthropic and OpenEvidence partner to offer a specialized version of OpenEvidence's AI search tool for physicians in about 100 low- and middle-income countries (Nancy Lapid/Reuters)
  4. The Next Web·
    Anthropic and OpenEvidence to offer free medical AI to doctors in about 100 countries
  5. TechMeme·
    OpenAI releases MentalHealthBench, an open benchmark to evaluate AI responses in realistic mental health conversations, developed with 80+ licensed experts (OpenAI)

    OpenAI has launched MentalHealthBench, an open benchmark designed to assess AI responses in realistic mental-health conversations. The benchmark was created with input from more than 80 licensed mental-health professionals. It provides a standardized dataset and evaluation metrics for measuring AI performance in sensitive therapeutic contexts.

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