🚀 I Ran Claude Code on Every New Claude Model. Here's What Actually Ships.
Fable, Mythos, Opus 4.8, Sonnet 4.6, Haiku — Anthropic's 2026 lineup is no longer "one model you talk to." It's a fleet you route between. I spent a month inside Claude Code orchestrating all of them across real codebases. Here's which model to reach for, when, and the routing playbook that quietly doubled my throughput. Why I Went Down This Rabbit Hole (Again) Last time I wrote about Claude Skills and called Claude Code the killer host for them. Since then, two things happened that changed how I work day to day. First, the models got genuinely strange-good . In the span of a few months Anthropic shipped Sonnet 4.6, Opus 4.8, and then an entirely new tier above Opus — the Mythos class — released to the public as Claude Fable 5 . We went from "the AI suggested a decent diff" to Stripe reporting that Fable 5 ran a codebase-wide migration on a 50-million-line Ruby codebase in a single day — work that would've taken a team over two months by hand. Second, Claude Code stopped being a single-model tool. With a fleet of models at different price/speed/intelligence points, the highest-leverage skill in 2026 isn't prompting — it's routing . Knowing which model to put on which task is the difference between burning $200 of tokens on a typo fix and one-shotting a multi-service refactor. So I did the obvious thing: I wired all of them into Claude Code and ran them against real work for a month — bug fixes, migrations, greenfield features, test suites, the boring stuff and the scary stuff. This is what I learned. TL;DR The lineup is now a ladder : Haiku → Sonnet 4.6 → Opus 4.8 → Fable 5 → Mythos 5. Each rung trades cost for capability and patience for long-horizon autonomy. Sonnet 4.6 is your default. Frontier-ish coding at $3/$15 per million tokens with a 1M-token context window . Most of your work should live here. Opus 4.8 is the reliable senior. Better judgment, ~4× less likely to let its own code bugs slide, and it powers dynamic workflows — hundreds of parallel subagents i