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Comment by jumploops | Hacker News Reader

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)

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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

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.

> in contrast Chinese provider like Z.AI promises ZDR

I do not trust any provider, US or Chinese when they say they will not train on my data. I still use these services, but I am under no illusion that any of these people are trustworthy bunch.

Another poster has pointed to a statement by Mark Zuckerberg that they will release soon Muse Spark as open weights.

While I agree with you for the Muse Spark as hosted by Meta, if it will be available in open weights form for self hosting, then there are good chances that it can become quite useful.

I’m not sure why I’d use theirs over the other open weights out there, or what profit motive Meta has.

lol of all people you think the Chinese will not log your queries?

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