# Evaluate Model: Claude Sonnet 4.6 and March 2026 Platform Updates
## What This Is
Anthropic has released Claude Sonnet 4.6, a more capable AI model, and updated its platform with significant new features. Claude can now autonomously use your computer — opening files and running tools — and create interactive charts and diagrams directly within conversations, including on mobile devices.
Source: https://www.youtube.com/watch?v=g7NHavj0uTw
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and current AI integrations
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
- Which AI models I currently use and for what purposes
Then ask me before proceeding:
1. Am I interested in evaluating this model for my project, or just want a summary of what it offers?
2. If I want to try it — which part of my current AI stack should it replace or complement?
## Source Access Note
The source URL (https://www.youtube.com/watch?v=g7NHavj0uTw) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.
## What to Implement
This is a **New AI Model** — a model release, update, or capability announcement.
- Analyze the best use cases for this model within my project and current AI stack
- Compare its strengths, pricing, and context window against whatever I currently use
- Give me a clear, convincing argument for why this model would (or would not) be a good fit for my project
- If I want to try it: update my API configuration (provider, model ID, any new parameters) to point to this model
- If it requires a new API key or provider signup, tell me exactly what to do
## Additional Context
- Scan the user's Claude Code configuration to verify they have a Pro or Max plan, which is required for the new computer use capability, and check if 'claude-sonnet-4.6' is an available model choice through their configured API provider.
- Draft a sample task for the user to test the computer use feature, such as instructing the model to list all files in the current directory, read the contents of a specific file like `package.json`, and summarize its dependencies.
- Propose a refactor of a data-processing script in the user's current project to leverage the new visualization feature, generating a custom chart or diagram from the script's output and rendering it inline.
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it