# Claude Opus 4.7 - Core.Today AI API

> Anthropic's latest flagship model with reliable knowledge cutoff to January 2026 and 128K max output tokens. Builds on Opus 4.6 with improved reasoning, coding, and instruction-following while staying compatible with the Anthropic Messages and OpenAI Chat Completions formats.

- **Provider**: Anthropic
- **Model ID**: claude-opus-4-7
- **Category**: LLM
- **Credits**: 5 per 1K tokens (avg)
- **Speed**: Medium
- **Quality**: Ultra

## Model Specifications
- **Context Window**: 200K tokens
- **Max Output**: 128K tokens
- **Training Cutoff**: 2026-01
- **Supported Formats**: text, json, markdown
- **Compatible SDK**: Anthropic, OpenAI

### Capabilities
- Vision (image input)
- Function Calling
- Streaming
- JSON Mode
- System Prompt

### Token Pricing (per 1M tokens)
- **Input Tokens**: 9,290 credits ($6.19)
- **Output Tokens**: 46,450 credits ($30.97)

## Features
- Most capable Anthropic model
- 200K context window
- 128K max output tokens
- Knowledge cutoff: January 2026
- Vision and tool use
- Streaming support

## Use Cases
- Frontier research and analysis
- Long-form writing up to 128K tokens
- Advanced code generation and refactoring
- Multi-step agentic workflows
- Enterprise-grade reasoning tasks

## API Endpoint

Base URL: https://api.core.today
Endpoint: POST /llm/anthropic/v1/messages

## Authentication
Header: Authorization: Bearer YOUR_API_KEY

Note: LLM endpoints use OpenAI-compatible format with Authorization Bearer token.

## Input Parameters

### Required
- **messages**: array - Array of message objects (OpenAI format)

### Optional
- **max_tokens**: integer (default: 4096) - Maximum tokens in response (up to 128000)
- **stream**: boolean (default: false) - Enable Server-Sent Events streaming

## Examples

### Long-form Analysis
Deep multi-step analysis with Claude Opus 4.7
```json
{
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "system",
      "content": "You are a principal research analyst. Provide rigorous, source-aware analysis."
    },
    {
      "role": "user",
      "content": "Compare the safety and capability trade-offs of frontier closed-weight models versus open-weight alternatives for enterprise deployment in 2026, with mitigations."
    }
  ],
  "max_tokens": 8000
}
```

### Production Code Generation
Generate production-ready code with full reasoning
```json
{
  "model": "claude-opus-4-7",
  "messages": [
    {
      "role": "system",
      "content": "You are a senior software engineer. Write clean, well-tested, production code."
    },
    {
      "role": "user",
      "content": "Implement a distributed rate limiter in Go using Redis Cluster with the leaky bucket algorithm. Include unit tests."
    }
  ],
  "max_tokens": 6000
}
```

## Response Format
```json
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Response text here"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 100,
    "completion_tokens": 50,
    "total_tokens": 150
  }
}
```

## Tips
- Most capable Anthropic model — pick this for the hardest reasoning tasks
- 128K output enables long-form drafts in a single response
- `temperature` is deprecated for this model — omit it from your request body (Anthropic returns 400 if sent)
- Streaming recommended for long responses
- Compatible with both Anthropic Messages and OpenAI SDK formats

## Documentation
https://docs.anthropic.com/en/docs/about-claude/models