Last refreshed 2026-09-01. Next refresh: weekly.
Why use Claude Mythos 5.1 on Anthropic?
Anthropic offers Claude Mythos 5.1 with pay-as-you-go pricing at $10.00/1M input tokens. Anthropic is a safety-focused AI research company and creator of the Claude model family, offering API access through the Anthropic Console for text generation, analysis, and coding tasks.
Compare Claude Mythos 5.1 across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install anthropicexport ANTHROPIC_API_KEY=...import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
message = client.messages.create(
model="claude-mythos-5-1",claude-mythos-5-1Request example
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)Gotchas
- Use the versioned model ID, e.g. "claude-sonnet-4-6" or "claude-opus-4-7-20251101".
- The examples expect ANTHROPIC_API_KEY; rename it only if your application config maps the new variable.
Compare Claude Mythos 5.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Anthropic | $10.00 | $50.00 |
| AWS Bedrock | — | — |
| GCP Vertex AI | — | — |
| Microsoft Foundry | $10.00 | $50.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $10.00 |
| Output tokens | $50.00 |
Capabilities
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.