Anthropic's frontier language model for long-running coding agents, multistep research, and complex document analysis in demanding knowledge workflows.
Anthropic
| Item | Specification |
|---|---|
| Input | Text, images |
| Output | Text |
| Context | 1,000,000 tokens |
| Max Output | 128,000 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported; forced tool choice is not supported |
Claude Fable 5.1 is an Anthropic language model released on September 1, 2026, with the official Claude API ID claude-fable-5-1. It targets demanding reasoning, long-running agent tasks, and complex knowledge work, accepts text and images, and offers a one-million-token context window with up to 128,000 output tokens.
Compared with Fable 5, it improves agentic coding across hours, multistep research, document and spreadsheet production, dense-chart understanding, and computer use. Adaptive thinking is always on, with depth controlled through effort; safety classifiers may decline certain sensitive requests and route them to another Claude model.
any or named-tool selection.| Feature | Benefit |
|---|---|
| Always-On Adaptive Thinking | Adjusts reasoning to the task without requiring a fixed thinking budget. |
Adjustable effort | Varies thinking depth between difficult decisions and routine steps in a long workflow. |
| Large Context and Output | Holds substantial code, evidence, and operation history while allowing complete deliverables. |
| Long-Horizon Tool Execution | Maintains objectives and progress across extended coding, research, and artifact workflows. |
| Structured Tool Use | Combines automatic tool selection with strict schemas and structured outputs for verifiable agents. |
| Safety Classification and Fallback | Exposes refusal signals so applications can record the reason and choose a suitable alternate path. |
Provide a concrete goal, acceptance criteria, and a durable progress record, saving intermediate work to files or tools. Avoid rewriting early conversation turns: Anthropic says its thinking blocks are bound to the preceding history and may become invalid after such edits.
Using tool_choice with type: "any" or a forced named tool returns an error. Use the default auto mode, apply strict: true or structured outputs for schema validity, and describe in the prompt when the tool should be used.
Beyond changing the official model ID, test forced-tool settings, thinking-block replay, and any code that edits conversation history. Older Claude models cannot read thinking blocks produced by Fable 5.1, so model routing and fallback need dedicated tests.
No. Group sources by topic, label provenance and versions, and supply retrieval cues for important questions before asking for cross-source analysis; then check omissions, stale material, and conflicts in the answer.
Use Fable 5.1 when Opus 5 at higher effort still misses your acceptance criteria on long-running coding, deep research, or complex knowledge work. Anthropic recommends starting most workloads with Opus 5 and choosing from task-specific evaluations.
Check LinkModel's live model page for its public ID, request schema, image input, and tool support, then run small tests covering long context, tools, and refusal handling. Do not assume Anthropic-specific beta headers or thinking-block options pass through unless LinkModel documents them.
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 | $0.2125 / 1M tokens | $0.25 / 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 |