anthropic/claude-opus-4-6 logo

anthropic/claude-opus-4-6

Claude Opus 4.6 is Anthropic’s most capable Claude 4 model for agents and complex coding/reasoning, with a large 1M-token context window.

Anthropic Vision Up to 1M Tokens
Get API Key
Try in Playground
Free Trial Credit On first TopUp of minimum $5
$1.00

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-4-6",
  "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": 16384,
  "temperature": 0.2,
  "stream": true,
  "top_p": 0
}'

Technical Specifications

Model Architecture & Performance

Variant Claude Opus 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 $5.00/1M Tokens
Output Tokens $25.00/1M Tokens
Cached Input Tokens $1.50/1M 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 16384 Maximum number of tokens to generate in the response (supports up to 128k max output tokens).
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 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

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

Don't let your AI control you. Control your AI the Qubrid way!

Have questions? Want to Partner with us? Looking for larger deployments or custom fine-tuning? Let's collaborate on the right setup for your workloads.

"Qubrid enabled us to deploy production AI agents with reliable tool-calling and step tracing. We now ship agents faster with full visibility into every decision and API call."

AI Agents Team

Agent Systems & Orchestration