LLM Reference
Anthropic

Using Claude Mythos 5.1 on Anthropic

Implementation guide · Claude Mythos · Anthropic

Serverless

Anthropic exposes Claude Mythos 5.1 through model ID claude-mythos-5-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-01. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Anthropic and generate an API key.
  2. 2
    Use the Anthropic SDK or REST API to call claude-mythos-5-1 — see the documentation for request format.
  3. 3
    You'll be billed $10.00/1M input, $50.00/1M output tokens. See full pricing.

Code Examples

Install
pip install anthropic
API key
ANTHROPIC_API_KEY
Model ID
claude-mythos-5-1

Use the versioned model ID, e.g. "claude-sonnet-4-6" or "claude-opus-4-7-20251101".

import anthropic

client = anthropic.Anthropic()  # reads ANTHROPIC_API_KEY from env
message = client.messages.create(
    model="claude-mythos-5-1",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}]
)
print(message.content[0].text)

Pricing on Anthropic

TypePrice (per 1M)
Input tokens$10.00
Output tokens$50.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch API

About Claude Mythos 5.1

Anthropic's invitation-only Mythos-class model, released September 1, 2026. Same underlying model as Claude Fable 5.1 without the cybersecurity and biology safeguards. Access is limited to a small set of vetted organizations through trusted access / Project Glasswing; Anthropic currently makes it available to a set of US organizations and is working to expand. Claude API id claude-mythos-5-1. Pricing starts at $10 per 1M input tokens and $50 per 1M output tokens (limited availability; no cheaper public tier published). Cache reads $0.25 per 1M. 1M-token context, 128K max output, adaptive thinking always on, text and image input to text output.

Model Specs

Released2026-09-01
Context1m
ArchitectureDecoder Only
Knowledge cutoff2026-06

Provider

Anthropic
Anthropic

San Francisco, California, United States