alt Hacker NewsComparing the sort of models that would run on that to frontier models like Opus 5.5 or Astra is silly
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chaosharmonic • yesterday at 6:36 PM
Assuming that you need frontier models like Opus or Astra for every use case that you'd throw at an LLM is also silly
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Astra and 5.5 came out in september, so I didn't compare to them I compared to "where the SOTA was less than a year ago".
But ok, let's compare: https://benchlm.ai/compare/gpt-6-astra-vs-qwen3-8-flash-next
Astra's score: 85.8/100
Qwen3.8-flash-next's score: 55.87/100
So there's a ~30 pt difference between them. Let's add 5% more for quantization damage.
My perspective is, yes - that's a huge difference. No - it doesn't matter. Flash-next is above the threshold of useful intelligence. I can ask it to do something and it does it. Sure, it burns some tokens on bad ideas on the way, and sure it can't turn a single paragraph prompt into million dollar business. I don't need or want that - I want something I can ask to refactor a module, and it does it and it doesn't stop until the module compiles and all the tests pass. flash-next does that.