Comment by jumploops
12 hours ago
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)
Not to mention, this is hyper competitive against even Chinese providers given its multi-modal support.
Muse Spark 1.3 supports Text, Image, Video, File, Audio inputs. We've only started to see models from China include image and video inputs recently.
Muse Spark may be competitive in capabilities but it’s not for serious works since Meta trains on your prompts so no ZDR, in contrast Chinese provider like Z.AI promises ZDR which is more attractive to big corps.
lol of all people you think the Chinese will not log your queries?
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)
It's the perfect model for open-source work because it's gonna end up in the training data anyway
There's a lot of value in agentic loop tool failure + recovery training data
Web Search doesn't have a discount on contributor pricing