LLM models
Claude Opus 4.7
On this page
Claude Opus 4.7 — frontier reasoning and generation through one API.
| modelId | claude-opus-4-7 |
| Modality | text |
| Pricing | See this model on the Pricing page for the current per-call price (with your markup). |
Operations
| Operation | modelId | Endpoint | Required input |
|---|---|---|---|
| Default | claude-opus-4-7 | POST /api/v1/generate | prompt |
| Poll task | — | GET /api/v1/task/{id}?model=claude-opus-4-7 | — |
Input parameters
| Field | Type | Required | Values / example |
|---|---|---|---|
| prompt | string | Yes | Text value (example: Explain why the ocean looks deep blue from a ship yet clear in a drinking glass, in three vivid sentences a curious traveler would love.) |
| thinking | boolean | No | Include the model's thinking process in the response (true/false) (example: true) |
| reasoning_effort | string | No | How much the model reasons before it answers (Anthropic's effort levels). Higher levels think longer and use more output tokens; at Max, set a larger max_tokens. (options: Low | Medium | High | XHigh | Max) (example: High) |
| max_tokens | number | No | Optional Claude output token limit. Leave empty to use the default: 4096, or 16000 when thinking or a reasoning effort is on. (range 1-128000) |
| stream | boolean | No | Send true to receive the reply as an event stream (Content-Type: text/event-stream). Omit it and you get a single JSON response — streaming is opt-in on this endpoint. (true/false) (example: true) |
| system | string | No | System instruction for the model. Defaults to "You are Claude Opus 4.7, developed by Anthropic." when omitted. |
| messages | array | No | A conversation instead of a single prompt: an array of { "role", "content" } objects, where role is user, assistant or system. Send the whole conversation — we do not limit how many messages it has, and we do not drop old ones; the model's context window is the limit. Send prompt or messages, not both. Do not flatten a conversation into one prompt with "User:" / "Assistant:" labels — the model reads that as a single message, and a model using web search then searches for the whole block instead of your question. |
Example request
bash
curl -X POST https://you.bot/api/v1/generate \
-H "Authorization: Bearer $YOUBOT_API_KEY" \
-H "Content-Type: application/json" \
-d '{"modelId":"claude-opus-4-7","input":{"prompt":"Explain why the ocean looks deep blue from a ship yet clear in a drinking glass, in three vivid sentences a curious traveler would love.","thinking":true,"reasoning_effort":"High","max_tokens":4096,"stream":true}}'