StackPricing
All AI models

Anthropic · AI model API pricing

How much does Claude Fable 5 cost?

Anthropic's most capable model — a premium tier above Opus, priced accordingly for the hardest reasoning and long-horizon agent work.

Rate card

Input tokens$10 / 1M
Cached input$1 / 1M
Output tokens$50 / 1M
Context window1M

What that means per month

WorkloadTokens / monthCost / month
Prototype 1M in · 0.3M out $25/mo
Small app 10M in · 3M out $250/mo
Production app 50M in · 15M out $1,250/mo
High volume 200M in · 60M out $5,000/mo
Heavy platform 1B in · 300M out $25,000/mo
Price it at your exact usage Official pricing page

Standard on-demand rates from Anthropic's official pricing docs, last checked 2026-07-16. Cached-input reads bill at ~10% of the input rate; cache writes carry a 1.25× premium. Monthly figures exclude caching and batch discounts. Confirm live pricing before committing.

Where Claude Fable 5 sits on price

At the reference month of 10M input and 3M output tokens, Claude Fable 5 costs $250, which makes it the most expensive of the 30 models tracked here. That is 147× the price of Qwen-Flash, the cheapest model at this mix ($1.70). Among the 10 frontier-class models it ranks 10th, behind GLM-5.2 at $27.2.

Cache economics

Cached input on Claude Fable 5 bills at $1 per 1M — 10% of its own input rate, against a 10% median across the models here that publish a cached-read price. 2 models discount cached reads more steeply than this. On the reference month, serving 80% of that input from cache takes the input side of the bill from $100 to $28, leaving output untouched at $150 — which is why a high reuse rate changes the ranking above rather than just shaving the total.

Cache reads only. Writes are billed separately by some providers and are excluded here — see the rate note above for Anthropic's terms. Try it at your own hit rate on the AI cost calculator.

Cheaper alternatives

At a reference workload of 10M input / 3M output tokens a month, these cost less than Claude Fable 5 ($250/mo):

Claude Fable 5 head-to-head