The video introduces Claude Sonnet 4.5, Anthropic’s latest AI model praised for its exceptional coding abilities, alignment, and reasoning skills, demonstrated through a practical test where it successfully refactored Python documentation into a functional Go app. The presenter highlights the model’s strong performance on coding benchmarks, expresses excitement about its capabilities, and teases future in-depth reviews and AI model comparisons.
The video introduces Claude Sonnet 4.5, a new model released by Anthropic, coinciding with the creator’s new series called “On The Edge,” which will focus on testing and reviewing the latest AI models one at a time to observe their improvements over time. Anthropic claims that Claude Sonnet 4.5 is the best coding model in the world, highlighting its strengths in building complex agents, using computers effectively, and showing significant gains in reasoning and math benchmarks. Additionally, they assert that it is the most aligned model to date. The presenter focuses on testing the model’s coding capabilities through a practical example.
The test involved asking Claude Sonnet 4.5 to build and compile an executable app from documentation. The documentation provided was for a video model called Cling 2.5 Pro, written entirely in Python. The presenter requested the model to refactor or rewrite the code into a different language such as C++ or Go, despite no documentation being available for those languages. Impressively, Claude Sonnet 4.5 chose Go and generated a fully functional app that runs on macOS, allowing users to input an API key, upload an image, and generate a video based on a prompt.
The presenter demonstrated the app by entering an API key, selecting an image, and providing a prompt to generate a cinematic video. The app successfully sent the image and prompt to the API and returned a video, which played smoothly. This practical test showcased the model’s ability to understand documentation in one language and produce working code in another, highlighting its coding and reasoning capabilities. The presenter expressed strong initial impressions and excitement about the model’s performance.
Further testing included running a coding benchmark known as the Pelican test, popularized by AI expert Simon Willison, who also praised Claude Sonnet 4.5 as possibly the best coding model currently available. The presenter compared their results with Simon’s and found them very similar, reinforcing the model’s strong coding abilities. Plans were mentioned to continue exploring Claude Sonnet 4.5’s capabilities, especially within Claude Code, and to conduct more extensive API testing in future videos.
In conclusion, the presenter views Claude Sonnet 4.5 as a solid incremental improvement rather than a revolutionary leap but is impressed by its speed, alignment, and agentic tool-calling features. The video ends with a teaser for upcoming content, including a tier list of AI models across various categories such as video, image, text, and coding agents. Overall, the first impressions of Claude Sonnet 4.5 are very positive, and the presenter encourages viewers to check it out and stay tuned for more detailed reviews.