Haiku 4.5 is very good but still seems to be adding a second of latency.
Claude Haiku 4.5
61–70 of 292 posts
Re: Claude Haiku 4.5
#62Re: Claude Haiku 4.5
#63Re: Claude Haiku 4.5
#64Pretty cute pelican on a slightly dodgy bicycle: https://tools.simonwillison.net/svg-render#%3Csvg%20viewBox%...
https://simonwillison.net/2025/Jun/6/six-months-in-llms/
https://simonwillison.net/tags/pelican-riding-a-bicycle/
Full verbose documentation on the methodology: https://news.ycombinator.com/item?id=44217852
Re: Claude Haiku 4.5
#65Re: Claude Haiku 4.5
#66$1/M input tokens and $5/M output tokens is good compared to Claude Sonnet 4.5 but nowadays thanks to the pace of the industry developing smaller/faster LLMs for agentic coding, you can get comparable models priced for much lower which matters at the scale needed for agentic coding. Given that Sonnet is still a popular model for coding despite the much higher cost, I expect Haiku will get traction if the quality is a…
Re: Claude Haiku 4.5
#67Re: Claude Haiku 4.5
#68Earlier quoted context omitted.
Fascinating, so I have to think more "pay for RAM/redis" than "pay for SSD"?
"pay for data on VRAM" RAM of GPU
Re: Claude Haiku 4.5
#69Earlier quoted context omitted.
"pay for data on VRAM" RAM of GPU
But that doesn't make sense? Why would they keep the cache persistent in the VRAM of the GPU nodes, which are needed for model weights? Shouldn't they be able to swap in/out the kvcache of your prompt when you actually use it?
Re: Claude Haiku 4.5
#70I expect I will be a lot more productive using this instead of claude 4.5 which has been my daily driver LLM since it came out.