Where do I create an API key and buy tokens?

Both happen on api.reapi.ai — the chat workspace runs as its own platform separate from the image / video task gateway at reapi.ai. Sign up at api.reapi.ai, generate a key under API Keys, and top up under Top Up. A reapi.ai/settings/apikeys key will not authenticate against the chat endpoint.

Is the Claude Opus 4.7 API OpenAI-compatible?

Yes. The Claude Opus 4.7 API is a drop-in for OpenAI's /v1/chat/completions — same request shape, same `messages` array, same `stream` / `temperature` / `top_p` / `max_tokens` parameters, same SSE wire format. Most teams migrate by changing the base URL to https://api.reapi.ai/v1, swapping the API key, and setting `model: "claude-opus-4-7"`. The native Anthropic Messages format at /v1/messages is also available for SDK callers that prefer it.

What is the Claude Opus 4.7 context window?

Claude Opus 4.7 has a 1M token context window and supports up to 128K output tokens per response. Long inputs benefit from prompt caching — cache stable parts of the prompt once and pay only the cache-read rate on subsequent calls.

How is Claude Opus 4.7 different from earlier Opus versions?

Claude Opus 4.7 is Anthropic's newest Opus generation, positioned as the flagship for premium coding, agent workflows, and long-context analysis. Earlier Opus versions (4.6, 4.5, 4.1) remain available on api.reapi.ai for production traffic that's already validated against them — switching is a one-line change in the `model` field.

Does Claude Opus 4.7 support vision and multimodal input?

Yes. Claude Opus 4.7 accepts text and image inputs in the same call — useful for screenshots, diagrams, document scans, chart analysis, and multimodal review flows. Images are passed as URL or base64 content parts on the standard Chat Completions content-parts payload.

How does prompt caching work and when is it worth it?

Anthropic prompt caching lets you mark a portion of the prompt (system instructions, RAG context, long documents) as cacheable. The first call pays the cache-write rate; subsequent calls within the cache window pay only the cache-read rate on those tokens. Worth turning on for: long system prompts reused across users, recurring RAG context, multi-turn agents replaying long histories. See the pricing card for the resolved cache-read and cache-write rates.

What is the `group` parameter?

`group` selects a token group on the api.reapi.ai gateway, which routes the request to a specific channel pool. `default` is the standard pool and covers nearly every workload. You can leave the field out of the body if you're happy with the default routing.

Claude Opus 4.7 API — Anthropic's Flagship Reasoning Model

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 OpenAI-compatible /v1/chat/completions in one call. Pay-as-you-go pricing in USD.

Claude Opus 4.7modelclaude-opus-4-7

Claude Opus 4.7 playground

Open the chat playground to run Claude Opus 4.7 through the OpenAI-compatible chat completions surface with your api.reapi.ai key.

Open chat playground

What you can build with this model

Real-world workflows and production use cases you can build and ship with this model.

Claude Opus 4.7 refactoring a large codebase in one pass

High-stakes coding and large refactors

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 driving a multi-step agent with tool use

Agent workflows and tool orchestration

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.

Claude Opus 4.7 reasoning across a 1M-token analysis pack

Large-context analysis and review

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.

Pricing

Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.

Category	Unit	Price
Tokens
Input tokens	1M tokens	$2
Output tokens	1M tokens	$10

Why reAPI

OpenAI-compatible drop-in for a flagship Claude model

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.

Premium reasoning where it matters

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.

One key across GPT, Claude, and Gemini

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.

Ship the Claude Opus 4.7 API in three steps

step 01
Create an account and key on api.reapi.ai
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.
Open
step 02
Send your first request
POST https://api.reapi.ai/v1/chat/completions with `model: "claude-opus-4-7"`, your `messages` array, and `max_tokens` set generously. The endpoint is OpenAI-compatible, including streamed responses; the native Anthropic /v1/messages format works too.
Open
step 03
Tune for cost and stability
Use 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.
Open

Frequently asked questions

Common questions about this model.

Claude Opus 4.7 is billed pay-as-you-go in USD against your api.reapi.ai token balance — see the pricing card on this page for the live per-1M-token rate. Prompt-caching rates (cache read and cache write) are listed in the same card; cache hits are dramatically cheaper than re-sending the same tokens. Failed requests are not charged.

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What you can build with this model

Real-world workflows and production use cases you can build and ship with this model.