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anthropic/claude-opus-4-7

Claude Opus 4.7 is Anthropic’s most capable Claude 4 model till date .It is highly autonomous and performs exceptionally well on long-horizon agentic work, knowledge work, vision tasks, and memory tasks. This page summarizes everything new at launch.

Anthropic Vision Up to 1M Tokens
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api_example.sh

curl -X POST "https://platform.qubrid.com/v1/chat/completions" \
  -H "Authorization: Bearer QUBRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "anthropic/claude-opus-4-7",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image? Describe the main elements."
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
          }
        }
      ]
    }
  ],
  "max_tokens": 16384,
  "temperature": 0.7,
  "stream": true
}'

Pricing

Pay-per-use, no commitments

Input Tokens $6.50/1M Tokens
Output Tokens $32.50/1M Tokens
Cached Input Tokens $1.95/1M Tokens

Technical Specifications

Model Architecture & Performance

Variant Claude Opus 4.7
Context Length Up to 1M Tokens
Architecture Claude 4.x multimodal model with extended/adaptive thinking and context-aware token budgeting (internal architecture not publicly disclosed)
Developers Anthropic

API Reference

Complete parameter documentation

Parameter Type Default Description
stream boolean true Enable streaming responses for real-time output.
max_tokens number 16384 Maximum number of tokens to generate in the response (supports up to 128k max output tokens).
reasoning_effort select medium Controls how much reasoning depth Claude applies (quality vs latency).

Explore the full request and response schema in our external API documentation

Performance

Strengths & considerations

Strengths Considerations
Up to 1M-token context window
Extended thinking support for deeper reasoning
Best-in-class intelligence for agentic workloads
Highest cost tier among Claude 4 models

Use cases

Recommended applications for this model

Complex agent planning and multi-step coding assistance
Vision-enabled analysis of images and screenshots
Long-document workflows with large context windows
High-accuracy structured extraction and reasoning

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Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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