Models

Meta Launches Efficient Muse Ember Model

Meta launched Muse Ember, its smallest and most efficient model designed for complex reasoning execution, tool calls, coding subtasks, routing, and long document parsing. For shorter prompts, it is priced the same as GPT-6 Luna and Claude Haiku 5.5 at $0.10 per million input tokens and $0.50 per million output tokens. This move highlights Meta's continued focus on efficient, low-cost models.

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  1. Models

    AGIBOT Launches WITA-Omni Embodied Multimodal Model

    AGIBOT released WITA-Omni, an embodied multimodal large model trained on robot perception data. It supports tactile and proprioceptive inputs alongside action outputs, utilizing a streaming full-duplex architecture for rapid interaction. The model features omni-modal rejection to reduce false triggers and supports real-time translation in over 100 languages.

    IT之家

  2. Models

    Analysis suggests Claude Opus 5.5 reasoning ability dropped sharply

    A developer analyzed 1,400 Claude Code logs and found that Claude Opus 5.5 experienced abnormal reasoning performance starting November 3. Despite the unchanged model name, significant shifts in the AI's thinking process and task execution were observed.

    GIGAZINE

  3. Models

    Anthropic releases Claude Fable 5.2 with leading coding scores

    Anthropic released Claude Fable 5.2 and Mythos 5.2, outperforming GPT-6 Astra in benchmarks like FrontierCode 2.0. The new models offer 30% faster output and 20% lower costs, demonstrating the ability to coordinate 1,000 agents to build an OS.

    IT之家Latent Space雷峰网4 outlets

  4. Models

    Seedream 5.5 released with improved image editing

    QbitAI reported that the new Seedream 5.5 model performs stably in image editing benchmark tests. The update improves processing speed and reduces API pricing, aiming to optimize generative AI efficiency and costs.

    量子位

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