About
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding.
Pricing
| Input | $14.00 | per 1M prompt tokens |
|---|---|---|
| Output | $70.00 | per 1M generated tokens, reasoning included |
| Cached input | $1.40 | per 1M tokens read back from the prompt cache |
| Cache write | $17.50 | per 1M tokens written to the prompt cache |
| Web search | $0.014 | per request that uses the provider’s built-in search |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.049 | $49.00 |
| Question over a long document40,000 in · 800 out | $0.616 | $616.00 |
| Agent tool step20,000 in · 1,200 out | $0.364 | $364.00 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #1Game devAgent arenaElo 128562% wins
- #1SlidesAgent arenaElo 125459% wins
- #2Android appsAgent arenaElo 129765% wins
- #2Godot gamesAgent arenaElo 129264% wins
- #2ASCII artModel arenaElo 133068% wins
- #4SVGModel arenaElo 130263% wins
- #5Mobile appsAgent arenaElo 126060% wins
- #6Full stackAgent arenaElo 128058% wins
- #8Web appsAgent arenaElo 125456% wins
- #10Game devModel arenaElo 133961% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-fable-5",
"messages": [{ "role": "user", "content": "Hello" }]
}'Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="anthropic/claude-fable-5",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "anthropic/claude-fable-5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);Parameters this model accepts
include_reasoningmax_completion_tokensmax_tokensreasoningreasoning_effortresponse_formatstopstructured_outputstool_choicetoolsverbosity