
Anthropic
Claude Sonnet 4.6
From $2.40 per 1M tokens
Claude Opus 5 is Anthropic's model for complex agentic coding and enterprise work. Claude Opus 5 reads a 1M-token context window, writes up to 128k tokens back, and runs adaptive thinking on by default with an effort dial from low through max. On reAPI, Claude Opus 5 bills at less than half Anthropic's published per-token rate on both input and output.
claude-opus-5Chat models run on the api.reapi.ai gateway, which has its own console and its own key. Open the console to run Claude Opus 5 through the OpenAI-compatible Chat Completions surface.
Claude Opus 5 is Anthropic's model for complex agentic coding and enterprise work, served on an OpenAI-compatible /v1/chat/completions endpoint. It gives you a 1M-token context window, up to 128k output tokens per call with thinking tokens counted inside that budget, adaptive thinking that is on by default, and a five-level effort dial — low, medium, high, xhigh, max — that takes the place of the sampling knobs, since temperature, top_p and top_k are rejected on this model. 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.

Anthropic positions Claude Opus 5 for complex agentic coding and enterprise work, and the shape of the model matches that: a 1M-token context window means a whole repository, its tests and its issue history fit in one request, and 128k output tokens is room for a multi-file change rather than a stub. Adaptive thinking is on by default, so Claude Opus 5 holds a plan together across tool calls instead of restarting its reasoning each turn. The practical advice from Anthropic's own migration guidance is to give Claude Opus 5 the complete task specification up front in a single well-specified turn and let it run, rather than revealing the task across many short interactive turns.
Read the API docs
Claude Opus 5 finds real bugs at high precision and high recall, and it stays accurate at lower effort — which makes a cheap fast pass at review time plus a thorough pass later a practical pattern. One caveat worth designing around: Claude Opus 5 follows severity instructions literally. A review prompt that says only report high-severity issues will get exactly that, and your measured recall drops even though the underlying bug-finding improved. Ask Claude Opus 5 to report everything with a confidence level and a severity, then filter in a separate pass.

Text, images and PDF are all inputs to Claude Opus 5, and the million-token window is large enough that a contract set, a research bundle or a year of filings goes in whole. That removes the retrieval layer whose only job was working around a small context. Claude Opus 5 also generates and edits complex multi-sheet spreadsheets with real formulas and builds slide decks that follow design conventions, and it can be told to follow a specific template when one is required. Vision is strong enough on charts and dense documents that giving Claude Opus 5 tools to crop and re-examine its own output beats simply raising the thinking depth.
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
One sample at the cheapest tier (1M tokens).
| Model | Category | Price |
|---|---|---|
| Token pricing | Input | $2.4 1M tokens |
| Output | $12 1M tokens |
Anthropic publishes a per-million-token rate for Claude Opus 5 input and output. On reAPI, Claude Opus 5 bills at less than half of both — no subscription underneath it, no minimum commitment, pay-as-you-go in USD against your gateway balance. The exact numbers are in the pricing table on this page.
Claude Opus 5 is served from a standard `/v1/chat/completions` endpoint. If your code already speaks that shape, adopting Claude Opus 5 is a base URL, a key and a model string — the same SDKs work once the base URL points at the gateway. No SDK swap, no bespoke client.
The same api.reapi.ai key that calls Claude Opus 5 calls the GPT and Gemini families too. Comparing Claude Opus 5 against another frontier model, or failing over when one provider has a bad hour, is a model string rather than a second integration, a second invoice and a second set of credentials.
This comparison is not about price. Anthropic publishes the same per-token rate, the same one-million-token context window and the same 128k output ceiling for both models. Claude Opus 5 is the capability step-change on top of that, and it quietly changes two request-surface defaults that will break code carried straight over — thinking now runs by default, and turning it off is capped at high effort.
Comparison reflects behavior documented on Anthropic's own model-overview page at the time of writing. Rates are described as relationships rather than amounts; the live numbers for Claude Opus 5 are in the pricing table above.
Sign up at api.reapi.ai, open the console and generate an API key. That one key reaches Claude Opus 5 and every other model on the gateway, billed from a single balance.
OpenSet your base URL to api.reapi.ai and your key to the one you just created. Any client that already speaks OpenAI Chat Completions works unchanged — no SDK swap is needed to reach Claude Opus 5.
OpenSet the model field to `claude-opus-5` and post your messages. Turn on streaming for long outputs, and remember that Claude Opus 5 thinks by default, so leave room in max tokens for the reasoning as well as the answer.
Opencurl https://api.reapi.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-5",
"group": "default",
"messages": [
{ "role": "user", "content": "Hello" }
],
"stream": true,
"max_tokens": 16000
}'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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