Claude Opus 4.7 is Anthropic's flagship model for premium coding, agent workflows, and long-context analysis — 1M context, 128K max output, vision input, prompt caching, and standard /v1/chat/completions in one call. Pay-as-you-go pricing in USD.
claude-opus-4-7Chat models run on the api.reapi.ai gateway, which has its own console and its own key. Open the console to run Claude Opus 4.7 through the OpenAI-compatible Chat Completions surface.
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
One 1K-token prompt with a 1K-token answer at the cheapest tier.
Claude Opus 4.7 is Anthropic's flagship reasoning model, aimed at premium coding, agent workflows, and long-context analysis. It runs on an OpenAI-compatible /v1/chat/completions endpoint (the native /v1/messages surface is available too) with a 1M-token context window, up to 128K output tokens per call, vision input, prompt caching, tool use, and the familiar temperature and top_p controls. Usage is billed per million tokens, with input and output priced separately.
Real-world workflows and production use cases you can build and ship with this model.
Claude Opus 4.7 is the right model for architecture work, multi-file refactors, code review, migration planning, and long-form engineering deliverables that need fewer follow-up passes. Output quality dominates raw speed — pick it when the call has real downstream cost if it goes wrong.
Read the API docs
Claude Opus 4.7 holds task state across long agent runs, plans multi-step actions reliably, and uses tools without drifting off-spec. The right default when lighter models start dropping constraints or losing context mid-workflow.
Feed entire codebases, long research packs, multi-file technical material, or full policy documents into a single Claude Opus 4.7 request. The 1M token context window means analysis-heavy workflows rarely need chunking — the model sees the whole input and returns a coherent answer.
The Claude Opus 4.7 API speaks OpenAI Chat Completions verbatim. Moving an existing OpenAI integration to a premium Claude route is a base URL, an API key, and a model-string change — not a platform rewrite. The same `messages` array, the same streaming format, and the native Anthropic /v1/messages surface is available too for SDK callers that prefer it.
Claude Opus 4.7 is Anthropic's flagship — best output quality on hard coding, complex agent planning, and long-context analysis. Route premium workloads here when the per-call cost is justified by the answer quality; send simpler traffic to cheaper Claude or GPT models on the same key.
A single api.reapi.ai key unlocks Claude Opus 4.7 alongside GPT-5.5, Gemini 3.1 Pro, and every other frontier chat model on the platform. Compare vendors, add fallbacks, and route traffic per call with a configuration change instead of an integration project.
Sign up at api.reapi.ai, open the console, generate an API key under API Keys, and top up tokens under Top Up. The chat workspace is separate from the reapi.ai image/video gateway — keys do not cross over.
OpenPOST https://api.reapi.ai/v1/chat/completions with `model: "claude-opus-4-7"`, your `messages` array, and `max_tokens` set generously. The endpoint uses the standard chat-completions format, including streamed responses; the native Anthropic /v1/messages format works too.
OpenUse prompt caching for stable system prompts and recurring long inputs to bring repeated-context costs down. Reserve Claude Opus 4.7 for the highest-value calls and route everything else to a cheaper model on the same key.
Opencurl https://api.reapi.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-4-7",
"group": "default",
"messages": [
{ "role": "user", "content": "Hello" }
],
"stream": true,
"max_tokens": 4096,
"temperature": 0.7
}'Rejected synchronously with the failing field named. Check enum values, ranges, and URL fields — nothing is charged.
401 means a missing or invalid Bearer key; 402 means the reserve exceeds your balance. Manage keys and credits in the console.
Reference material and outputs pass automated moderation. Rejected tasks fail with a clear error and a full refund.
A task that reaches a failed state is never charged — the reserve refunds automatically. Keep the task id and retry when ready.
Common questions about this model.
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