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anthropic/claude-opus-4-5

Claude Opus 4.5 is a high-intelligence multimodal Claude 4 model optimized for complex reasoning and vision-enabled tasks at a 200k token context window.

Anthropic Vision Up to 200K Tokens
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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-4-5",
  "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 Opus 4.5
Context Length Up to 200K Tokens
Architecture Claude 4.x multimodal model with thinking support (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 8192 Maximum number of tokens to generate in the response (max output up to 64k 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
High reasoning quality
Vision input support
200k-token context window
Smaller context window than Claude 4.6 (1M) models

Use cases

Recommended applications for this model

Complex vision-assisted analysis and document understanding
Agentic workflows requiring strong reasoning quality
Long-context tasks within 200k tokens

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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