Anthropic's frontier language model with a one-million-token context, long-running agentic coding, and multistep reasoning for complex research and knowledge work.
Anthropic
| Item | Specification |
|---|---|
| Input | Text, images |
| Output | Text |
| Context | 1,000,000 tokens |
| Max Output | 128,000 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported |
Claude Fable 5 is an Anthropic model released on June 9, 2026, with the official Claude API ID claude-fable-5. Built for demanding reasoning, software engineering, visual analysis, and long-horizon knowledge work, it accepts text and images, produces text, and provides a one-million-token context window with up to 128,000 output tokens. Anthropic currently marks it as active but legacy and recommends evaluating Fable 5.1 for new work.
Fable 5 shares an underlying model with the limited-access Mythos 5, but Fable adds safety classifiers that may route some sensitive requests to another Claude model. Anthropic reports meaningful gains over earlier public Claude models in complex coding, autonomous work, knowledge tasks, and vision, particularly for workflows that require planning, execution, and correction over time.
| Feature | Benefit |
|---|---|
| Always-On Adaptive Thinking | Organizes reasoning according to task complexity, with depth controlled through effort. |
| One-Million-Token Context | Handles large collections of source material, code, and history without extensive manual splitting. |
| 128K Output Limit | Allows substantial reports, code artifacts, and multipart analyses. |
| Long-Horizon Agent Stability | Integrates tool results and notes across sustained work, reducing goal loss and repeated exploration. |
| Joint Visual and Text Understanding | Combines evidence from screenshots and document images with written instructions. |
| Layered Safety System | Makes refusals identifiable so applications can handle them and choose suitable fallback behavior. |
Yes. Anthropic marks it Active (legacy) and retains a distinct official model ID. New projects should also evaluate Fable 5.1, which Anthropic recommends for improved performance.
Label sources, dates, and sections before posing explicit cross-checking questions; a large window does not guarantee every detail will be used correctly. For sustained tasks, keep key decisions and open items in an external record and require evidence locations in the response.
Sensitive requests may trigger a classifier, causing this model to decline or route the request elsewhere. Check refusal markers as well as HTTP status, record the event, and decide whether to explain it to the user or retry according to your workflow.
They share underlying capabilities, but Mythos 5 is restricted to approved organizations and uses a different safeguard arrangement in some areas. General applications should be built around Fable 5's public behavior, not assumed Mythos access.
Prioritize testing 5.1 for long coding sessions, multistep research, document and spreadsheet work, or computer use. Recheck forced tool selection and thinking-block replay during migration because 5.1 changes those API behaviors.
Check the live LinkModel model page for its own ID, request format, context limits, and tool support. Test safety refusals, long-task timeouts, and multi-turn tool loops on a small scale before connecting an existing agent.
Our pricing is based on image and text token usage. The final cost depends on the tokens consumed.
| Token Type | LinkAI Price | Official Price |
|---|---|---|
| Input | $8.5 / 1M tokens | $10 / 1M tokens |
| Cached input | $0.85 / 1M tokens | $1 / 1M tokens |
| Cache write (5 minutes) | $10.625 / 1M tokens | $12.5 / 1M tokens |
| Cache write (1 hour) | $17 / 1M tokens | $20 / 1M tokens |
| Output | $42.5 / 1M tokens | $50 / 1M tokens |