Name: Claude 4.7 Opus API
Brand: Anthropic

Overview

What is Claude 4.7 Opus API?

Claude 4.7 Opus is available through AIMLAPI.

Technical Specifications
- Supported inputs: Text
- Output: Text
- Context window: 1,000,000 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Claude 4.7 Opus API Pricing
- Input: $6.5 / 1M tokens
- Output: $32.5 / 1M tokens

Where to Use Claude 4.7 Opus

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%
End-to-end latency (24h median): 18.6s
Time to first token (24h median): 1.7s
Throughput (24h median): 70.9 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Claude Opus 4.7 is documented as suited to hard coding work, including advanced software engineering and complex code reasoning tasks.

It is also suited to long-running agentic tasks and workflows that require staying on track over longer horizons.

The model is documented for professional knowledge work such as document creation, financial analysis, slides, data visualization, and multi-step research workflows.

It is additionally suited to visual understanding tasks, including reading dense screenshots, extracting data from complex diagrams, and working with charts, dense documents, and screen UIs where fine detail matters.

How to use Claude 4.7 Opus API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to anthropic/claude-opus-4-7.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "anthropic/claude-opus-4-7",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "anthropic/claude-opus-4-7",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"anthropic/claude-opus-4-7","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.