| ▲ | einszwei 13 hours ago |
| Opus Fast Mode is 30$/150$/M Input/Output cost.
Mythos's pricing (from model card) is 25$/125$ Input/Output cost. Based on this I doubt that Mythos pro is too dangerous to release or provides significantly more value. |
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| ▲ | hsuduebc2 13 hours ago | parent | next [-] |
| As far as my understanding goes. It is not a breakthrough model itself but finetuned model with right tools and skills. Fairly similiar to today's coding agents with difference that they are made for software engineering not cyber security. |
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| ▲ | ACCount37 12 hours ago | parent [-] | | Mythos is the next point on the scaling curve. It has considerably more parameters than most frontier models of today. Which gives it a lot more oomph per token. Is it a "breakthrough" as in "something novel and unexpected"? No. Is it a "breakthrough" as in "something we know works, but made to work on a greater scale"? Very much so. | | |
| ▲ | hsuduebc2 9 hours ago | parent [-] | | So it's just a bigger model? Like for example todays 1T models? | | |
| ▲ | ACCount37 8 hours ago | parent [-] | | Supposedly 10T scale. Literally the next big thing. A bit like what OpenAI tried with GPT-4.5 - but Anthropic actually made it work with MoE, reasoning, tool use, RLVR, etc. It matters because the "g factor" of today's LLMs is at least in part a function of raw scale. Larger models are just smarter - assuming you can handle the training and inference at this increased scale. | | |
| ▲ | AnimalMuppet 8 hours ago | parent [-] | | So, realistically, how much further can this go? How many more orders of magnitude? |
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| ▲ | FergusArgyll 12 hours ago | parent | prev [-] |
| You just disingenuously compared it to fast mode which is expensive not due to model strength or size but because you lose all kind of optimizations |