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Friday107 items

  1. Ollama BlogFirst-partyModel releases
    AI score83

    Reflection's Open-Weight Model Beam Launches on Ollama, Free for a Limited Time

    Reflection's first open-weight model, Beam, is officially released, offered free for a limited time with Ollama as a day-zero partner and with zero data retention (ZDR). Beam is an MoE model with approximately 501 billion total parameters, about 23 billion activated per token, and a 1 million token context window. It targets software engineering, reasoning, and long-horizon agentic tasks, and is released under the Apache 2.0 license. Users can run beam:cloud via Ollama Cloud and connect it to tools such as Claude Code, Codex, and OpenCode.

    Beam agentic coding benchmarks

    Same story · 6 reports

    #Product updates#Open-source ecosystem#English text is being prepared.

  2. Baseten Engineering BlogFirst-partyModel releases
    AI score67

    Reflection's Open-Weight Model Beam Launches on Baseten: 501B MoE with 1M Context

    Reflection's first open-weight model, Beam, is now available on the Baseten platform, with day-0 support through Baseten Model APIs and Dedicated Inference. Beam uses a MoE architecture with 501B total parameters and 23B activated per token, a context window of up to 1 million tokens, and is aimed at coding and agent workflows. During training, Reflection used longer RL rollouts and added a length penalty to encourage the model to complete tasks with fewer tokens; users can also adjust reasoning effort via a parameter to control how much reasoning the model invests.

    Beam

    Same story · 6 reports

    #Product updates#Reasoning#English text is being prepared.

  3. Artificial Analysis full articleFirst-partyModel releases
    AI score60

    Reflection Releases Its First Model Beam, Scoring 30 on the Artificial Analysis Intelligence Index

    Reflection has released its first model, Beam, an open-weight model with 501B total parameters and 23B activated parameters. It scores 30 on the Artificial Analysis Intelligence Index, ranking second among US open-weight models, behind only Meta's Muse Spark Open (39) and ahead of NVIDIA's Nemotron 3.5 Super VL (26). Beam consumes about 26k output tokens per Intelligence Index task, of which about 19k are used for reasoning and 7k for answering; it scores 48.5% on AutomationBench-AA, but only 3.0% on Terminal-Bench 4.0. On AA-Omniscience, it answers 33% of questions correctly, with a hallucination rate of 47% and a net index score of 1.5.

    Same story · 2 reports

    #Model releases#Open-source ecosystem#Evaluations / benchmarks

  17. testingcatalogModel releases
    AI score55

    English translation is being prepared.

    Quoted postAI Tracker Bot · @aitrackerbot

    NVIDIA's next Nemotron showed up in its own docs: Nemotron 3.5 Super VL. • 120B total, 12B active (hybrid Mamba-Transformer MoE) • Image and video input • Text-only version too NVIDIA started pulling the pages today, the date a partner issue listed as its target release. https://t.co/YGiqsKGaiP

    #Model releases#Multimodal#Reasoning