The "contributor" pricing is the standout here at a ~20x discount, if you allow training on your data.

The model seems on par with Sol and Opus 5 on paper (admittedly on some older/saturated benchmarks, but very competitive for $).

Stats:

1M context, $0.10 input/$0.002 cached, $0.20 output (Mtok)

I have a feeling that Meta is not gonna like what people actually use the contributor model for lol.

(It's probably going to be a bunch of repetitive batch jobs like web search that have no training value)

	▲	winstonp 2 hours ago \| parent \| next [-]
		It's the perfect model for open-source work because it's gonna end up in the training data anyway
	▲	hadlock an hour ago \| parent \| prev \| next [-]
		There's a lot of value in agentic loop tool failure + recovery training data
	▲	dbbk 2 hours ago \| parent \| prev [-]
		Web Search doesn't have a discount on contributor pricing