{
“title”: “Pick the Right Claude Model Every Time”,
“text1”: “
I used to burn through tokens like they were free. I’d throw every task at the biggest, fanciest model I could find, wonder why my usage was through the roof, and then do it all again the next day. So when I stumbled on this breakdown from an AI professional on LinkedIn, I stopped scrolling. The original poster laid out a clean decision tree for picking between Fable 5, Opus 5, Sonnet 5, and Haiku 4.5, and I honestly wish someone had shown me this a year ago.
Here’s the core idea from the creator: you don’t need the smartest model for every job. You need the right model for the job in front of you. Route your work down a simple tree, and you save money, time, and a whole lot of frustration.
Let me walk you through the exact steps the expert shared.
🌳 Start with one question
Before anything else, the author says to ask yourself a single thing: does your task require a complex answer?
- If no, you’re looking at Haiku 4.5 or Sonnet 5.
- If yes, you’re heading toward Opus 5 or Fable 5.
That one fork does most of the heavy lifting. Everything after it is just fine-tuning. Here’s how the industry pro breaks down each branch.
⚡ Step 1: Quick tasks that need speed
If your task is quick and you want maximum speed with minimal tokens, the creator points you to Haiku 4.5. It’s the lightweight, token-saving option.
The rationale is simple: for fast, throwaway work you don’t want to pay Opus prices. A few tips the original poster shares for getting the most out of Haiku:
- Chat without files attached.
- Turn on web search.
- Plan in Chat, then build in Cowork.
Prompt example from the author:
I want [desired result] with [constraints]. Ask me questions using AskUserQuestion before you start.
🚀 Step 2: Everyday work that isn’t urgent
Still a simple task, but speed isn’t your top concern? The expert recommends Sonnet 5, the fast, everyday model. It’s the reliable workhorse for simple, day-to-day jobs.
What makes Sonnet shine, according to the creator, is how well it plugs into your existing tools. You can connect your apps with Connectors: Slack, Google Drive, Notion, Figma, Granola, Gamma, and 50 more.
Prompt example the LinkedIn creator suggests:
You are a [role]. [Task] this [input]. Keep it under [length]. Tone: [casual/formal]. No preamble, just the output.
🧠 Step 3: Your hardest, most ambitious work
Now we’re into the deep end. This is the branch for multi-step reasoning, agents, and long-thinking tasks. The author asks one more filter question here: is this your single hardest, most ambitious piece of work?
If no, reach for Opus 5, the deep-work model. The creator’s rationale is that Opus handles serious reasoning without jumping straight to the most expensive option. A few pointers the original poster gives:
- Use Cowork for these sessions.
- Put Effort on High. Always.
- Use Skills inside Projects, like /linkedin or /excel-style.
Prompt example from the expert:
/[skill] topic: [topic]. DO NOT start yet. Ask me clarifying questions (use AskUserQuestion) so we can refine the approach step by step.
And once you’re done in Cowork, the creator recommends three cleanup moves:
- Download your file.
- Or convert it into a Claude Skill.
- Start a fresh session to save tokens.
🔮 The top of the tree: Fable 5
If the answer to that last question was yes, you’ve reached Fable 5, described by the author as the smartest model Claude offers. This is the one for deep research and heavy analytical decisions.
Prompt example the mind behind the post shares:
Here is my goal: [goal]. Here are my constraints: [constraints]. Think through the tradeoffs before answering, propose 2-3 approaches, and recommend one with your reasoning.
⚠️ But careful with Fable 5
This is the part I found most useful, and I think it’s where the creator earns real trust. Fable is powerful, but it comes with a warning label. Here’s what the original poster wants you to know before you flip it on:
- It costs a lot of tokens, and it burns them very fast.
- Only about 10% of tasks actually need it.
- Use it for 1 to 2 turns for strategy, then switch back to Opus.
- Long conversations get expensive. Claude re-reads the whole thread every single turn.
That last point was a lightbulb moment for me. Every turn in a long chat means the model re-reads everything above it, so a bloated thread quietly drains your budget. Trimming your sessions is one of the easiest wins here.
✅ The one rule to remember
The author sums up the whole system in a single line: when Opus gets stuck, escalate to Fable. Everything else, route down the tree.
Why it matters: Most of us default to the biggest model out of habit, not need. This tree flips that. You start small, climb only when the task genuinely demands it, and reserve your most expensive firepower for the rare 10% that earns it. Do that consistently and your token bill starts looking a whole lot friendlier.
I was genuinely impressed by how practical this framework is. It’s the kind of thing you can screenshot, pin near your desk, and actually use tomorrow morning.
Want the full decision tree with every note the creator included? Check out the original LinkedIn post for all the details.
”
}