MoonshotAI: Kimi K3.1 Pro

{"about":"Kimi K3.1 Proは、K3.1シリーズ初のMoonshot AIモデルです。Kimi K3を基に、事後学習を大幅に拡充し、複数分野を対象とする強化学習を組み合わせて作られています。公式説明では、プログラミング、3Dプロジェクト、金融調査、複数の関連段階を要する課題が挙げられています。\n\n### プログラミングと技術プロジェクト\n\n既存コードの分析、変更案の作成、開発計画に使えます。目標、現在の実装、維持するインターフェースや正しい結果の形などの制約を渡します。説明、パッチの文章、テスト項目、導入手順を回答として求められます。\n\nゲーム、対話型シーン、パラメトリックモデリングでは、スクリプトや技術的なロジックを準備する課題に役立ちます。開発元の文書ではBlender、CAD、ゲームエンジンを使う作業が扱われています。Ailootのこのモデルカードの出力はテキストです。選んだツール用のコード、形状の記述、シーン構築の計画として依頼し、その後に自分の環境で実行するとよいでしょう。\n\n### 提供データに基づく分析\n\n文書では、資料の照合、計算の説明、仮定の整合性確認、調査メモの作成を求められます。財務モデルの場合は、元の数値、単位、それらの依存関係を渡します。モデルは数式の文章や検証手順を提案でき、報告書には提供資料に結び付いた構成や論拠を用意できます。\n\n### 有用な回答を得るには\n\n1. 課題と、説明、コード、計画、分析結果など期待する成果を示します。\n2. 必要な文章を添え、資料の優先順位を示します。\n3. 維持する条件、形式、計算精度、必須項目などの確認基準を説明します。\n4. 重要な決定や元の制約を保ちながら、追加指示で作業を進めます。\n\n### Ailootでの入力と結果\n\nこのモデルカードはテキストを受け取り、テキストを返します。指示、文書の抜粋、ソースコード、文字で表した表、議論の履歴を利用できます。K3.1 Proでは推論が常時有効で、モデルの文書ではlow、high、maxのレベルが用意されています。Standardでは入力が最大262,144トークン、回答が最大65,536トークンです。大きな要求では会話履歴も考慮し、具体的な質問に合わせて資料の量を選んでください。","alias_of":null,"aliases":["k3.1-pro","kimi-k3.1-pro"],"author":"MoonshotAI","canonical_model":"moonshotai/kimi-k3.1-pro","ctx":262144,"formats":["chat","gemini","messages","responses"],"id":"moonshotai/kimi-k3.1-pro","input":["text"],"kind":"text","max_out":65536,"methods":[{"cache_read":0.2,"cache_write":2.0,"cache_write_1h":null,"cache_write_5m":2.0,"conditional_meter":null,"ctx":262144,"family":"anthropic","fast_multiplier":null,"flex_multiplier":null,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"Anthropic 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