Laguna S 2.1
Poolside🇺🇸
poolside/laguna-s-2.1Laguna S 2.1 is an open-weight agentic coding model from Poolside, a 118B-parameter mixture-of-experts system with 8B active parameters per token and up to a 1M-token context window. Trained with reinforcement learning inside Poolside's own agent harness, it targets agentic software engineering tasks and is competitive with much larger models on SWE-bench and Terminal-Bench.
コスト率
0.1x
コンテキスト
1M
リリース
2026年7月21日
入力
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出力
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対応
推論ツール呼び出し構造化出力