An advanced model from Anthropic for demanding reasoning and long-horizon agents, with 1M-token context, vision, and adaptive thinking for software engineering, deep research, and professional deliverables.
Anthropic
| Item | Specification |
|---|---|
| Input | Text and images |
| Output | Text, with tool-call information supported |
| Context window | 1M tokens |
| Maximum output | 128K tokens |
| Vision | Supported |
| Function calling | Supported; forced tool choice is unsupported on the official API |
Released by Anthropic on November 9, 2026, Claude Fable 5.2 targets demanding reasoning, extended agent sessions, and multi-step research. It is designed to carry analysis through to reviewable reports, spreadsheets, or presentations.
Anthropic reports improvements over Fable 5.1 in coding, reasoning, and vision, with output generation up to 30% faster. Software migration and scientific engineering examples demonstrate potential on difficult work, without guaranteeing success on every task.
| Feature | Value |
|---|---|
| Million-token context | Accommodates extensive task material. |
| 128K output limit | Provides room for lengthy analysis and generation. |
| Adaptive thinking | The model determines when and how to reason; thinking remains enabled. |
| Five effort levels | Supports low, medium, high, xhigh, and max; defaults to high. |
| Image and text input | Incorporates visual evidence into analysis. |
| Tool-use interface | Connects model decisions to application-provided execution. |
Evaluate Opus 5.5 first, then use Fable 5.2 for difficult tasks that still miss your acceptance criteria. Anthropic similarly recommends testing Opus at higher effort before upgrading.
Adaptive thinking cannot be disabled, but effort controls how much processing the model applies. Establish a baseline at the default high level, then compare quality and duration at other settings on the same tasks.
Provide a clear goal, available tools, intermediate deliverables, and completion criteria. Save progress and validation records, requiring evidence at each stage rather than treating a lengthy response as proof of completion.
Check conversation-history edits, thinking-block compatibility, computer-use tool versions, and advisor configuration. The official update identifies these four compatibility changes; validate multi-turn sessions before switching production traffic.
The official API does not support forced tool choice, and some older parameters and tool definitions require migration. Inspect request formatting, tool-selection settings, and error details instead of treating a model-name change as a complete migration.
Open its model page on LinkModel and configure the published model identifier, authentication method, and request format. Validate a short text request first, then configure image input, tool calling, and reasoning options within the documented support scope.
Use representative business examples to check answer accuracy, tool execution, and complete-task duration. Include multi-turn conversations, long material, and recovery from failures, checking LinkModel’s documentation rather than assuming all Anthropic-specific headers and thinking-block options pass through.
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 | $6.8 / 1M tokens | $8 / 1M tokens |
| Cached input | $0.17 / 1M tokens | $0.2 / 1M tokens |
| Cache write (5 minutes) | $8.5 / 1M tokens | $10 / 1M tokens |
| Cache write (1 hour) | $13.6 / 1M tokens | $16 / 1M tokens |
| Output | $34 / 1M tokens | $40 / 1M tokens |