SHEN YIFull-Stack & AI

Paris • Singapore • Shanghai

YouTube channel · 15 September 2026 · 3:21 min

How to Save 80% of Your AI Coding Quotas: Effort Level & Model Routing Guide

Also in: Français · 中文

If your weekly Claude Pro plan and OpenAI Plus plan tokens keep disappearing too fast, the fix starts with two models: send about 80% of your work to Claude Code's Sonnet 5 and OpenAI's Codex Luna, both at medium or high effort, and cross-check the two against each other on anything complex. This video walks through which model fits which kind of work, how to pick an effort level based on how hard the job is, and a cross-tool workflow for pairing Claude Code and Codex: plan with Claude Code, implement with Codex, review with Claude Code.

It maps common software engineering workloads to the Claude Code model lineup (Fable 5.1, Opus 5, Sonnet 5, Haiku 4.5) and the effort ladder (low, medium, high, xhigh, max), so Sonnet 5 stays your ~80% daily workhorse and Ultracode gets reserved for multi-file autonomous passes that outgrow a single agent's context. It also covers Codex's real model lineup (Astra, Sol, Terra, Luna), its low/medium/high/max effort settings and Ultra mode, a direct task-by-task mapping between the two tools' models — including why this video deliberately pairs the daily-workhorse row with Luna rather than OpenAI's suggested Terra — and why OpenAI's published usage numbers are estimated ranges rather than fixed limits.

Sources referenced while researching this video:

Full routing table and guardrail checklist: see the pinned comment / linked doc.

#ClaudeCode #DevEx

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