One API Key for OpenAI, Claude, and Gemini LLM Classification Routing

<p>How it works:</p> <p>Request arrives at an OpenAI-compatible endpoint<br /> Classifier detects task type + complexity<br /> Adaptive router picks the highest-scoring model for

<p>OpenAIの請求書には、先月4,237ドル使ったと書かれています。しかし、そのうち3,100ドルは暴走した要約エンドポイントから、700ドルは月に50ドル支払っている顧客から、437ドルは誰も使わない機能から発生したことは書かれていません。ダッシュボードでは、価格設定、キャパシティ、ロードマップの判断に必要な情報が隠れています。</p> <p><a

<p>The price page hasn't moved. Five dollars per million input. Twenty-five per million output. Identical to Opus 4.6.</p> <p>Run the same Claude Code call on both, though, and

<p>Short answer: For cheap bulk CSV tagging, use an asynchronous LLM text classification API, estimate each tenant batch before it runs, and attach the eventual export to the same

<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<p>In many enterprise workflows, classification sounds simple.</p> <p>An email arrives.<br /><br /> A ticket is created.<br /><br /> A request needs to be routed.</p> <p>At first

<p>I needed a fast OpenAI client for a realtime voice agent project. The official Python SDK is great, but I needed Rust — for WebSocket audio streaming, edge deployment to