Requesty

claude-fable-5

Claude Fable 5 is Anthropic's most capable generally available model for autonomous knowledge work and coding. It is a Mythos-class model with robust safeguards. It can handle long-running, complex, and asynchronous tasks where previous models would have needed more frequent check-ins.

VisionReasoningTool callingCachingWeb searchJSON schemaComputer use

Specifications

Context window1M tokens
Max output128K tokens
API typechat
AddedJun 9, 2026
Model IDanthropic/claude-fable-5
Data retentionYes (30 days)
Used for trainingNo
Provider locationπŸ‡ΊπŸ‡Έ US

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model β€” check the base model page or the Anthropic PBC models overview.

Pricing

Input / 1M
$10.00
Output / 1M
$50.00
Cache write / 1M
$12.50
Cache read / 1M
$1.00
Estimated cost
100K input + 10K output$1.50
1M input + 100K output$15.00
10M input + 1M output$150.00

Requesty charges exactly what the upstream provider charges β€” no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to anthropic/claude-fable-5.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="anthropic/claude-fable-5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Anthropic PBC models

Frequently asked questions

How much does claude-fable-5 cost?
claude-fable-5 is priced at $10.00 per million input tokens and $50.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of claude-fable-5?
claude-fable-5 has a context window of 1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can claude-fable-5 do?
claude-fable-5 supports vision input, tool calling, extended reasoning, prompt caching, web search, structured outputs (JSON schema), computer use. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use claude-fable-5 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "anthropic/claude-fable-5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access claude-fable-5 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.