Claude Fable 5

claude-fable-5 · Anthropic

Anthropic's most capable widely released model, for the most demanding reasoning and long-horizon agentic work（This model is extremely expensive and is not recommended for casual use.）

API Pricing

Input$11 / 1M tokens
Output$55 / 1M tokens
Cache read$1.1 / 1M tokens

Specifications

Context1M tokens
Max output128K tokens
Modalitiestext, image, PDF
CapabilitiesThinking, Streaming, Tool calling, Web search, Code interpreter, Memory tool, Structured outputs, Citations, Prompt caching
Endpointschat_completions, claude_api

Frequently asked questions

What is Claude Fable 5?

Anthropic's most capable widely released model, for the most demanding reasoning and long-horizon agentic work（This model is extremely expensive and is not recommended for casual use.）

What is the context length of Claude Fable 5?

Claude Fable 5 has a 1,000,000 token context window. It supports up to 128,000 output tokens.

How much does Claude Fable 5 cost?

On AIHubMix, Claude Fable 5 costs $11 per million input tokens and $55 per million output tokens. Cached input reads are billed at $1.1 per million tokens.

What modalities does Claude Fable 5 support?

Claude Fable 5 accepts text, image and PDF input.

What capabilities does Claude Fable 5 support?

Claude Fable 5 supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

How do I call Claude Fable 5 via API?

Claude Fable 5 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to claude-fable-5 — no other code changes needed.

Who created Claude Fable 5?

Claude Fable 5 is developed by Anthropic. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

When was Claude Fable 5 released?

Claude Fable 5 was released on June 9, 2026 by Anthropic.

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Use Claude Fable 5 via the AIHubMix unified API — one interface for every major LLM.