Luna does as well, but just at a higher limit.

From OpenAI's website: Prompts with more than 272K input tokens are priced at 2x input and cache rates and 1.5x output for the full request.

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minimaxir 5 hours ago | parent | next [-]

Huh, that disclaimer is on the model page (https://developers.openai.com/api/docs/models/gpt-6-luna) but not the pricing page. Annoying.

Fixed.

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tripleee 4 hours ago | parent | prev [-]

So even at the 1.5x/2x rate luna is still half the price of this. Weird pricing strategy from Anthropic. I'm sticking with Luna if I don't need a super smart model

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usef- 3 hours ago | parent [-]

You're judging purely by token cost I assume, not cost per completed task?

The benchmark in the article showed it as lower per completed task than luna, but I guess we'll find out how representative that is. Anthropic has generally been fairly honest in their benchmarking though.

	▲	RussianCow 2 hours ago \| parent \| next [-]
		The cost per task from Artificial Analysis is roughly 3x higher at every reasoning effort level for Haiku than Luna. Sol 6.1 on medium has the same cost per task as Haiku with significantly higher intelligence. According to those numbers (which you should take with a grain of salt), from a pure cost vs intelligence standpoint, you're better off using Luna for economics and Sol for intelligence. With that said, the real reason to use Haiku is that it's faster than all of these models. OpenRouter is showing an average so far of 93 tokens/sec, and AA got at least 137 in each of their benchmarks. So it might be valuable for speed at lower thinking levels. (At higher thinking levels, it's likely going to take longer to produce results than Sol on low/medium.) https://artificialanalysis.ai/models/releases/comparisons/cl...
	▲	tripleee 3 hours ago \| parent \| prev [-]
		yes, that's true. I should be looking at the $/completed task