Artificial analysis has them benching similarly on intelligence, but with deepseek 4.1-flash having a decisive victory in time-to-first-output-token and end-to-end-response-time [1].
Combined these make the interactive experience of using deepseek 4.1-flash significantly more enjoyable than haiku IMO.
I didn't include it because the use-case is different.
I can't trust models like V4.1 Flash to do stuff for me without supervision. Yes, they are good for coding and some API-only processing tasks, but not as a main agentic model like Opus 5.5 or GPT-6 Astra are, which can actually do things that function properly without much fidgeting or intervention.
Anyone who compares DeepSeek to Claude can't be taken seriously. I'm rooting for open-source models of course but DeepSeek is so much worse than Claude, it's not comparable.
Probably because it’s a discussion about DeepSeek and you didn’t include that in your comparison so it came off a bit big-lab-fan
Also, a model like Haiku is better, faster and cheaper:
https://aibenchy.com/compare/anthropic-claude-haiku-5-5-high...
*on one set of private benchmarks
Artificial analysis has them benching similarly on intelligence, but with deepseek 4.1-flash having a decisive victory in time-to-first-output-token and end-to-end-response-time [1].
Combined these make the interactive experience of using deepseek 4.1-flash significantly more enjoyable than haiku IMO.
[1] https://artificialanalysis.ai/models/deepseek-v4-1-flash-101...
I didn't include it because the use-case is different.
I can't trust models like V4.1 Flash to do stuff for me without supervision. Yes, they are good for coding and some API-only processing tasks, but not as a main agentic model like Opus 5.5 or GPT-6 Astra are, which can actually do things that function properly without much fidgeting or intervention.
Anyone who compares DeepSeek to Claude can't be taken seriously. I'm rooting for open-source models of course but DeepSeek is so much worse than Claude, it's not comparable.