Poolside releases Laguna M.1 and open-weight XS.2.

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    "url": "https://www.creativeainews.com/blog/poolside-laguna-m1-xs2-open-weight-coding-models",
    "title": "Poolside releases Laguna M.1 and open-weight XS.2.",
    "excerpt": "Poolside releases Laguna M.1 and open-weight XS.2.\n\nPoolside released the first two models in its Laguna family on April 28: a 225B-parameter flagship called M.1 and an open-weight 33B model called XS.2 under Apache 2.0. Both are pitched at agentic, long-horizon coding work.\n\nPoolside released the first two models in its Laguna family on April 28: a 225B-parameter flagship called M.1 and an open-weight 33B model called XS.2 under Apache 2.0. Both are pitched at agentic, long-horizon coding work, and both ship alongside Pool, the agent runtime Poolside uses internally for training and evaluation.\n\nWhat happened.\n\nLaguna M.1 is a 225B-parameter mixture-of-experts model with 23B active parameters, trained on 30 trillion tokens across 6,144 NVIDIA Hopper GPUs. It scores 46.9% on SWE-bench Pro and 40.7% on Terminal-Bench 2.0. Laguna XS.2 is a much smaller MoE at 33B total / 3B active, also trained on 30T tokens, hitting 44.5% on SWE-bench Pro and 30.1% on Terminal-Bench 2.0. The notable detail: XS.2's score on SWE-bench Pro is within two points of the flagship while running at roughly an eighth the active parameter budget.\n\nWhy it matters.\n\nOpen-weight coding models from a frontier lab are still rare. DeepSeek V4 remains the most cited example, and Qwen has its own line, but Apache 2.0 from a Western coding-focused lab is a different signal. It means XS.2 can be embedded in...",
    "product": "XS.2",
    "summary": "poolside.ai launched XS.2 on Apr 28th '26.",
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    "found_at": "2026-04-28T13:00:00Z",
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    "image_url": "https://www.creativeainews.com/content/images/2026/04/poolside-laguna-m1-xs2-open-weight-coding-models-thumbnail.jpg",
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    "published_at": "2026-04-28T13:00:00Z",
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    "article_sentence": "Poolside released the first two models in its Laguna family on April 28: a 225B-parameter flagship called M.1 and an open-weight 33B model called XS.2 under Apache 2.0."
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