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anthropic/claude-sonnet-4-6

Claude Sonnet 4.6 balances speed and intelligence, with a 1M-token context window and strong vision + reasoning performance.

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-sonnet-4-6",
  "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": 8192,
  "temperature": 0.2,
  "stream": true,
  "top_p": 0
}'

Technical Specifications

Model Architecture & Performance

Variant Claude Sonnet 4.6
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

Pricing

Pay-per-use, no commitments

Input Tokens $3.00/1M Tokens
Output Tokens $15.00/1M Tokens
Cached Input Tokens $0.30/1M Tokens

API Reference

Complete parameter documentation

Parameter Type Default Description
stream boolean true Enable streaming responses for real-time output.
temperature number 0.2 Controls randomness. Higher values can increase creativity.
max_tokens number 8192 Maximum number of tokens to generate in the response.
top_p number 0 Nucleus sampling: considers tokens with top_p probability mass.
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
Strong quality at lower latency than Opus
Less capable than Opus 4.6 for the hardest tasks.

Use cases

Recommended applications for this model

Fast agentic coding and debugging with vision context
Long-document analysis and extraction (large context)
Structured extraction from images and screenshots

Enterprise
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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