Claude 3.7 Sonnet

There's a reason Claude is the default model for all Cursor users—Anthropic's approach to building models delivers on real-world tasks. During our extensive testing of Claude 3.7 Sonnet, we've seen significant improvements in the model's ability to understand and handle complex codebases and multi-step tasks. Now with two ways to think, Claude cements its place as the industry leader for coding.

Claude 3.7 Sonnet has been very impressive at planning code changes—we've seen cases where it's far better than any other model. Even with thinking off, it effectively handles medium-size features requiring both frontend and backend updates.

What impresses us most about Claude 3.7 Sonnet is its instruction following and multi-turn tool calling accuracy. Coupled with its extended output window, 3.7 Sonnet is transformative for code generation and agentic workflows.

Testing Claude 3.7 Sonnet's abilities building web apps zero-to-one reveals advancements far beyond other models. From consumer sites to dashboards, it's delivering sophisticated frontends with remarkable design quality—creating powerful applications that instantly demonstrate their value.

Claude 3.7 Sonnet is absolutely epic for coding—it delivers complete production-grade code with genuine design taste while maintaining context through complex iterations. This will enable us to empower everyone to add interactivity and smarts to their Canva designs, even without coding skills.

On my favorite mathematical test question, Claude 3.7 Sonnet performed better than any other model by a significant margin, at least to my taste. It shows a level of genuine understanding we have not yet seen from AI models—it explains concepts clearly, creates intuitive analogies, and can apply principles across different domains, even in standard mode.

Results from our early testing of Claude 3.7 Sonnet in GitHub Spark demonstrate two large improvements from its predecessor: it generates higher quality apps (e.g. feature set, user interface) from a brief natural language description, and in thinking mode it is more successful at generating passing code across iterations.

Enterprises look to Box as their platform for AI-driven intelligent content management. With Claude 3.7 Sonnet’s advanced reasoning capabilities our customers can unlock even more value from their unstructured content and create new efficiencies across their business. We’re excited to further integrate with Anthropic and bring 3.7 Sonnet’s capabilities to Box AI.

Testing Claude 3.7 Sonnet across Slack and Salesforce shows significant improvements against older models: 30% better summarization, 24% enhanced information retrieval, and a deeper understanding of organizational context and social dynamics.

Our evaluation shows Claude 3.7 Sonnet enhancing Notion's assistant capabilities, with notable gains in adhering to formatting constraints and more accurate information filtering. Our metrics show chat accuracy improving from 56% to 70%.

What sets Claude 3.7 Sonnet apart is its deep understanding of human collaboration. It not only stays focused and completes tasks thoroughly, but interacts in a way that feels natural—while passing nearly 100% of our knowledge graph evaluations.

Our early testing of Claude 3.7 Sonnet has been extremely encouraging, especially on our most difficult tasks. The quality is exceptional—we are exploring how these gains can be leveraged across more nuanced legal tasks.

Claude 3.7 Sonnet is particularly impressive in codebase understanding. We saw 10+% gains on agentic QA, essentially solving our benchmarks even without reasoning mode enabled—a change on par with the step from Haiku to Sonnet.

We're excited to continue our partnership with Anthropic in bringing Claude 3.7 Sonnet to Poe, which combines deep reasoning and performance with engaging conversation skills. 3.7 Sonnet will be especially helpful for our users who want to solve real-world coding tasks.

What stands out about Claude 3.7 Sonnet is its natural and human-like approach to organizing information. From thoughtful code documentation to well-structured summaries, it consistently focuses on what matters most.

Claude 3.7 Sonnet is hands down the best model we've used for programming, especially Deno. It creates complex applications and handles extensive refactors in a single turn, setting a new bar for AI assistance across our 30,000+ users across the enterprise!

In our benchmark of complex financial analysis tasks, Claude 3.7 Sonnet delivers a substantial 20% increase in accuracy over other reasoning models. At Endex, 3.7 Sonnet enables automations for the most time consuming and detail-oriented tasks like spreading financials and company performance analysis.

Claude 3.7 Sonnet demonstrates a complex, transparent chain of thought in financial calculations, showing its reasoning in ways no other model has achieved. This builds essential trust in both process and results, which is why we're excited to integrate it across the BlueFlame platform.

Claude 3.7 Sonnet absolutely transforms application development by combining real-world understanding with exceptional code generation. For building agentic systems, this is the first model I’ve seen that can iterate for long durations with zero errors.

Claude 3.7 Sonnet has transformed AI-powered software engineering. At iGent AI, we've measured 7x success on complex tasks and 2.5x fewer context errors. Engineers now build in days what took weeks, with a thought partner that preserves creative control.

What we're seeing with Claude 3.7 Sonnet in our development environment is very impressive. From multi-file edits to enhanced reasoning output, it's bringing unprecedented capabilities to complex coding workflows for Bolt.new.

Per our internal testing results, we're seeing delightful improvements using Claude 3.7 Sonnet for web story generation—it understands narrative context deeply and delivers more natural dialogue than other models we've tried. We are not just seeing richer and longer outputs, but more enhanced emotional intelligence and cultural adaptability.

Claude 3.7 Sonnet represents a leap in computer use—its ability to determine correct agentic actions is significantly improved over GPT-4o and prior Claude versions. Complex actions show far lower error rates with less guidance needed, reducing 4-hour automated testing to just 10 minutes.

What impresses us about Claude 3.7 Sonnet is how it combines rapid analysis with nuanced code understanding. When planning code updates, it considers subtle context such as files being generated from a template. It also filters out 21% more noisy security alerts than our previous model.