Pretty solid progress for roughly 4 months.
Claude Sonnet 4.5
31–40 of 819 posts
Re: Claude Sonnet 4.5
#32Re: Claude Sonnet 4.5
#33Price is playing a big role in my AI usage for coding. I am using Grok Code Fast as it's super cheap. Next to it GPT-5 Codex. If you are paying for model use out of pocket Claude prices are super expensive. With better tooling setup those less smart (and often faster) models can give you better results. I am going to give this another shot but it will cost me $50 just to try it on a real project :(
Re: Claude Sonnet 4.5
#34That's a pretty pelican on a bicycle! https://jsbin.com/hiruvubona/edit?html,output https://claude.ai/share/618abbbf-6a41-45c0-bdc0-28794baa1b6c
Edit: just to show my point, a regular human on a bicycle is way worse with the same model: https://i.imgur.com/flxSJI9.png
Re: Claude Sonnet 4.5
#35That's a pretty pelican on a bicycle! https://jsbin.com/hiruvubona/edit?html,output https://claude.ai/share/618abbbf-6a41-45c0-bdc0-28794baa1b6c
Re: Claude Sonnet 4.5
#36So Opus isn't recommended anymore? Bit confusing
Re: Claude Sonnet 4.5
#37Looking at the chart here, it seems like Sonnet 4 was already better than GPT-5-codex in the SWE verified benchmark. However, my subjective personal experience was GPT-5-codex was far better at complex problems than Claude Code.
Re: Claude Sonnet 4.5
#38Re: Claude Sonnet 4.5
#39That's a pretty pelican on a bicycle! https://jsbin.com/hiruvubona/edit?html,output https://claude.ai/share/618abbbf-6a41-45c0-bdc0-28794baa1b6c
I never understood the point of the pellican on a bicycle exercise: LLMs coding agent doesnt have any way to see the output. It means the only thing this test is testing, is the ability of the LLMs to memorise. Edit: just to show my point, a regular human on a bicycle is way worse with the same model: https://i.imgur.com/flxSJI9.png
Re: Claude Sonnet 4.5
#40Looking at the chart here, it seems like Sonnet 4 was already better than GPT-5-codex in the SWE verified benchmark. However, my subjective personal experience was GPT-5-codex was far better at complex problems than Claude Code.
The Anthropic models have been vibe-coding tuned. They're beasts at simple python/ts programs, but they definitely fall apart with scientific/difficult code and large codebases. I don't expect that to change with the new Sonnet.