Claude 3.7 Sonnet and Claude Code

Say hello to Claude 3.7 Sonnet and Claude Code, the newest creations from Anthropic. These tools are here to make AI-assisted coding and development easier and better.

Key Features

Claude 3.7 Sonnet brings something new called hybrid reasoning. This means it gives quick answers and also thinks more deeply when needed. Users can handle easy and tough tasks well with this tool. The model can pause, think again, and make its answers better. It is great at coding tasks and does very well on real-world software tests.

Anthropic also made Claude Code. This tool helps developers with big engineering tasks right from their computer screen.

Claude 3.7 Sonnet is easy to use and available to everyone. You can find it on all Claude plans, like Free, Pro, Team, and Enterprise. It is also on the Anthropic API, Amazon Bedrock, and Google Cloud''s Vertex AI. The extra thinking feature is on all plans except the free one.

Benefits

Claude 3.7 Sonnet makes software engineering much better. It scored 62.3% on the SWE-bench Verified test, which is a big improvement from before. The model can think deeply and work by itself. This helps businesses build complex features quickly, update old systems, and help new developers.

It fits right into how developers work, making tasks like fixing bugs, making new features, and checking code easier.

Use Cases

Claude 3.7 Sonnet is great for software engineering and for companies to use. It helps make big decisions with confidence and updates old systems. The model''s hybrid reasoning lets developers focus on important plans and new ideas while keeping projects great.

Cost/Price

The cost to use Claude 3.7 Sonnet is $3 for every million input tokens and $15 for every million output tokens. This includes the thinking tokens used in the extra reasoning mode.

Funding

The article does not talk about specific funding details for Claude 3.7 Sonnet or Claude Code.

Reviews/Testimonials

Early tests show big improvements in handling complex code and using advanced tools. People really like how well the model does software engineering tasks. It is more accurate and effective now.