Claude Fable 5.1
Anthropic · Text · Context 1M · max output 128K tokens
claude-fable-5.1
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Pricing
| MarkasAI | Vendor list price | |
|---|---|---|
| Input | Rp 154.561 | Rp 178.900 |
| Output | Rp 772.800 | Rp 894.500 |
| Cache | Rp 3.865 | |
| Cache write | Rp 193.201 |
MarkasAI sale prices in Rupiah, read from the same catalog as GET /v1/models. Prices can change and apply to later requests.
Specifications
- Model ID
claude-fable-5.1- Provider
- Anthropic
- Type
- Text
- Endpoint
POST /v1/chat/completions- Context window
- 1,000,000 tokens
- Output limit per request
- 128,000 tokens
About this model
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
Quoted from the provider's public catalog, in English.
Call example
curl https://api.markas.ai.id/v1/chat/completions \
-H "Authorization: Bearer $MARKASAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-fable-5.1",
"messages": [{"role": "user", "content": "What is an API?"}],
"max_tokens": 300
}'
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])
resp = client.chat.completions.create(
model="claude-fable-5.1",
messages=[{"role": "user", "content": "What is an API?"}],
max_tokens=300,
)
print(resp.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });
const resp = await client.chat.completions.create({
model: "claude-fable-5.1",
messages: [{ role: "user", content: "What is an API?" }],
max_tokens: 300,
});
console.log(resp.choices[0].message.content);
Keep your API key in the MARKASAI_API_KEY environment variable. Read the endpoint docs