Anthropic's high-capability reasoning model for long-running coding agents and professional knowledge work, with million-token context, vision, and sustained tool use.
Anthropic
| Item | Specification |
|---|---|
| Input | Text, images |
| Output | Text |
| Context | 1,000,000 tokens |
| Max Output | 128,000 tokens; 300,000 tokens in Message Batches API beta |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported with automatic tool selection; forcing a specific tool is not supported |
Claude Opus 5.5 is a high-capability reasoning model released by Anthropic on September 22, 2026, and the first model in the Claude 5.5 family. Its official Claude API identifier is claude-opus-5-5. It accepts text and images, produces text, provides a one-million-token context window with up to 128,000 standard output tokens, and has a reliable knowledge cutoff of June 2026.
The model is designed for long-running agentic coding and professional knowledge work, with stronger autonomy across complex engineering, multi-application operation, and sustained execution. Adaptive Thinking is always on, the default effort is medium, and developers control reasoning depth through output_config.effort. Anthropic lists comparative latency as Moderate and supports tools, vision, PDFs, the Files API, batch processing, prompt caching, and Computer Use.
effort to control reasoning depth while keeping Adaptive Thinking enabled on every request.| Feature | Benefit |
|---|---|
| Always-On Adaptive Thinking | Retains reasoning on every request and uses effort as the single depth control. |
| 1M Context Window | Holds substantial code, document collections, and long project history within one analytical scope. |
| 128K Standard Output | Supports complete code changes, extensive analysis, and large structured deliverables. |
| Long-Horizon Agent Optimization | Strengthens continuous planning, tool use, state tracking, and validation. |
| Broad Platform Features | Supports vision, PDFs, the Files API, batching, prompt caching, server tools, and client tools. |
| Mid-Conversation Tool Changes | Adapts tool definitions or system direction during an ongoing task. |
effort for Claude Opus 5.5?The default is medium, which is a practical starting point for most evaluations. Test lower levels for routine organization or focused edits and progressively higher levels for complex migrations, deep analysis, and long-running agents. Compare completion, correctness, and observed latency on the same representative tasks.
The model rejects tool_choice values of any or a named tool. Use the default auto behavior with strict tool use for schema-valid arguments, or Structured Outputs when the final response requires a fixed shape. State clearly in the prompt when a particular tool applies.
Update the model ID to claude-opus-5-5, remove disabled or manually budgeted thinking settings, and re-evaluate effort because the default changes from high to medium. Replace forced tool selection with auto, read response content by block type, and return preserved thinking blocks unchanged during tool loops.
No. Standard maximum output is 128K tokens; 300K is a beta capability of Anthropic's Message Batches API under its required beta configuration. Other platforms and ordinary online requests follow the limits shown in their current documentation.
Claude Opus 5.5 is available on LinkModel. Open its live model page, copy the published model ID, and submit text or image input with the request structure currently shown there. Use LinkModel's live page for the platform route, context limits, and available tools instead of substituting Anthropic's official API identifier.
Complete a basic text request with the model ID shown on LinkModel, then separately test images, PDFs, long context, structured results, and multistep tool calls. Inspect the handling and replay of thinking blocks, automatic tool selection, output truncation, and errors, and confirm which options LinkModel currently exposes for effort, Computer Use, batching, and other extensions.
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 | $3.4 / 1M tokens | $4 / 1M tokens |
| Cached input | $0.17 / 1M tokens | $0.2 / 1M tokens |
| Cache write (5 minutes) | $4.25 / 1M tokens | $5 / 1M tokens |
| Cache write (1 hour) | $6.8 / 1M tokens | $8 / 1M tokens |
| Output | $17 / 1M tokens | $20 / 1M tokens |