Owen Posted on Apr 27 • Originally published at ofox.ai Llama 4 API Access: Complete Developer Guide (Scout, Maverick, ofox) TL;DR — "Llama 4 Scout has a 10-million-token context window, costs as little as $0.08/M input tokens, and runs through any OpenAI-compatible API." If you're routing long documents, building cost-sensitive pipelines, or want to stop being dependent on a single closed-source vendor, it deserves serious consideration in 2026. Why Llama 4 Still Matters in 2026 When Meta released Llama 4 in early 2026, the reaction split cleanly along two camps: people who looked at benchmark numbers and shrugged, and developers who actually tried to stuff a 300-page legal brief into the context window and suddenly got religion. Scout's 10M-token window isn't a spec sheet flex. It's a qualitative shift in what's possible without chunking, summarization passes, or retrieval glue. Drop an entire codebase in. Analyze a year of customer support transcripts.…