Guide

How to Use Claude Opus 4.5 (Dec 2025)

Step-by-step guide to using Claude Opus 4.5 in the Claude app, via the API, and through cloud partners---plus pricing, model ID, and best practices.

By AI Coding Tools Directory2025-12-076 min read
Last reviewed: 2025-12-07
ACTD
AI Coding Tools Directory

Editorial Team

The AI Coding Tools Directory editorial team researches and reviews AI-powered development tools to help developers find the best solutions for their workflows.

Note: This guide covers the December 2025 Opus 4.5 release. Anthropic has since released Claude Opus 4.6 with improved quality and a 1M token context window. For current model guidance, see our Claude vs GPT vs Gemini comparison and the Claude API profile.

Quick Reference

Detail Value
Model ID claude-opus-4-5-20251101
Context window 200K tokens
Input pricing $5 / 1M tokens
Output pricing $25 / 1M tokens
Supports tool use Yes
Supports vision Yes (image + text)

Using Opus 4.5 in the Claude App

  1. Sign in at claude.ai with a Pro, Max, Team, or Enterprise account.
  2. Start a new chat and select Opus from the model picker.
  3. Paste your task or attach files/images. Keep total input under ~200K tokens.
  4. For coding tasks, include the relevant files and be explicit about what you want changed.

Calling Opus 4.5 via the API

Endpoint: https://api.anthropic.com/v1/messages

curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-5-20251101",
    "max_tokens": 800,
    "messages": [
      {
        "role": "user",
        "content": "Review this function for edge cases:\n```python\n...code...\n```"
      }
    ]
  }'

Tips for API usage:

  • Keep total tokens (prompt + response) within 200K
  • Use the system parameter to set style and constraints---keep it stable to benefit from prompt caching
  • For structured actions, include a tools array and let Claude return tool_use calls
  • Enable prompt caching or batch routes for repeated prompts to reduce cost

Using Opus 4.5 on Cloud Partners

Provider How to Access
Amazon Bedrock Select the Claude Opus 4.5 model ID in Bedrock; billing via AWS
Google Vertex AI Choose Opus 4.5 from Vertex's model catalog; billing via GCP
Microsoft Foundry Select Opus 4.5 where available; billing via Azure

Partner pricing differs from the direct Claude API. Check each provider's rate card.

Prompting Best Practices

These apply to all Claude models, not just Opus 4.5:

  1. Be explicit about goals, constraints, and the files or APIs involved.
  2. Use structure: Bullet lists and numbered steps reduce ambiguity.
  3. Trim context: Include only the relevant file sections. Stay within the context window.
  4. Plan first: For multi-step work, ask for a short plan before executing.
  5. Use tool calls when you need structured actions instead of free-text responses.
  6. Cache system prompts to reduce cost and latency on repeated calls.

Opus 4.5 vs Sonnet 4.5

Factor Opus 4.5 Sonnet 4.5
Quality Highest at the time Strong, lower cost
Context 200K tokens 200K tokens
Input cost $5 / MTok $3 / MTok
Output cost $25 / MTok $15 / MTok
Best for Hard refactors, deep debugging, architecture Day-to-day coding and chat

Sources (December 2025)


For current model guidance, see our beginner's guide to AI models and directory.

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Frequently Asked Questions

What is the Opus 4.5 model ID?
`claude-opus-4-5-20251101`
What is the pricing?
$5 per 1M input tokens and $25 per 1M output tokens via the Claude API. Partner clouds use their own rate cards.
Should I use Opus 4.5 or Opus 4.6?
If you have access to Opus 4.6, use it---it offers improved quality and a larger 1M token context window at the same price point. Opus 4.5 remains available for backward compatibility.
Where can I use it?
Claude apps (web/desktop), Claude API, Amazon Bedrock, Google Vertex AI, and Microsoft Foundry (where enabled).
Does it support tools and images?
Yes. Opus 4.5 supports tool use (function calling) and vision (image + text inputs).