Anthropic: Claude Fable 5.1

2 providers live

anthropic/claude-fable-5.1

→

2 live providers
100% uptime
2.98 s first token
278 tok/s output
25% off

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 code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

Context: 1M; tokens
Max output: 128K; tokens
Input: ~~$10.00~~ $7.50; per million tokens, 25% off
Output: ~~$50.00~~ $37.50; per million tokens, 25% off

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.Benchmarks

Live providers of Claude Fable 5.1, in the router's order
Who answers now	Input per 1M	First token
llm.buzz25% offpicked	~~$10.00~~ $7.50	3.57 s
Anthropic	$10.00	2.98 s

llm.buzz answers now: lowest price.

First token is the 24-hour median. If the pick fails, the next one answers at its own price.

#	Provider	Input	Output	Cache read	Latency	Throughput	Uptime (3d)
1	llm.buzzAuto25% offNon-EU Data policy not declared	~~$10.00~~ $7.50	~~$50.00~~ $37.50	~~$0.25~~ $0.1875	3.57 s	93 tok/s	98.6%
2	AnthropicNon-EU Data policy not declared	$10.00	$50.00	$0.25	2.98 s	278 tok/s	100%

Want to serve this model?Become a provider

Price history

No price changes since Oct 22, 2026. The history shows prices before discounts.

Anthropic$10.00 in, $50.00 out

Performance

Last 24 hours, from llm.buzz's test requests

Throughput (tok/s)

llm.buzz93 tok/s
Anthropic278 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 07:00	93 tok/s	93 tok/s	93 tok/s
llm.buzz	Oct 26, 11:00	54 tok/s	54 tok/s	54 tok/s
llm.buzz	Oct 26, 20:00	112 tok/s	112 tok/s	112 tok/s
llm.buzz	Oct 27, 00:00	93 tok/s	93 tok/s	93 tok/s
llm.buzz	Last 24 hours	93 tok/s	54 tok/s	54 tok/s
Anthropic	Oct 26, 11:00	93 tok/s	93 tok/s	93 tok/s
Anthropic	Oct 26, 15:00	278 tok/s	278 tok/s	278 tok/s
Anthropic	Oct 26, 20:00	334 tok/s	334 tok/s	334 tok/s
Anthropic	Oct 27, 01:00	278 tok/s	278 tok/s	278 tok/s
Anthropic	Last 24 hours	278 tok/s	93 tok/s	93 tok/s

Latency (time to first token)

llm.buzz3.57 s
Anthropic2.98 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 07:00	2.98 s	2.98 s	2.98 s
llm.buzz	Oct 26, 11:00	26.5 s	26.5 s	26.5 s
llm.buzz	Oct 26, 20:00	3.57 s	3.57 s	3.57 s
llm.buzz	Oct 27, 00:00	5.14 s	5.14 s	5.14 s
llm.buzz	Last 24 hours	3.57 s	26.5 s	26.5 s
Anthropic	Oct 26, 06:00	3.57 s	3.57 s	3.57 s
Anthropic	Oct 26, 11:00	2.07 s	2.07 s	2.07 s
Anthropic	Oct 26, 15:00	3.57 s	3.57 s	3.57 s
Anthropic	Oct 26, 20:00	2.98 s	2.98 s	2.98 s
Anthropic	Oct 27, 01:00	2.48 s	2.48 s	2.48 s
Anthropic	Last 24 hours	2.98 s	3.57 s	3.57 s

Uptime

Last 72 hours, by hour

Best provider 100%

This model

llm.buzz

Anthropic

Up: 95% or more served
Degraded: 85% to 95%
Down: below 85%
No data
From llm.buzz's test requests

Questions

How much does Anthropic: Claude Fable 5.1 cost?

Anthropic: Claude Fable 5.1 costs $7.50 per million input tokens and $37.50 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.1875 per million tokens. These prices are 25% off until 2026-11-06 00:00 UTC. Each provider sets its own price, and you pay the price of the provider that answered.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

Can I serve Anthropic: Claude Fable 5.1 myself?

Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.

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Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
    model="anthropic/claude-fable-5.1",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
  model: "anthropic/claude-fable-5.1",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.llm.buzz/api/v1/chat/completions \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "anthropic/claude-fable-5.1",
       "messages": [{"role": "user", "content": "Hello"}]}'

Endpoints

POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messages

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call Anthropic: Claude Fable 5.1 with one keyEach request pays the price of the provider that answered it.

Get API key