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Muse Spark 1.1

ai.meta.com

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Re: Muse Spark 1.1

#161

Post by msabalau »

dominotw wrote: post #148
jacobgold wrote: post #101

Maybe Zuck should double down on his "spoiler" role with models rather than compete head-to-head. He doesn't have to match Anthropic or OpenAI model revenue if he can deflate theirs by 99%. All he has to do is keep spending a few billion dollars developing frontier models, release them as open weights, and turn coding models into a commodity. He also needs a good OSS reference harness to match. Very few people are in…

all he has to do is that prove builing these inst hard anymore. because the whole moat these companies have is the perception that building models at frontier is really hard .

Hitherto he's pretty much proved the opposite.

I guess we'll see how Meta did this time.

Re: Muse Spark 1.1

#162

Post by weitendorf »

Just got it working with codex in a container! FYI I think there is a bug most others will run into at the Codex:Muse interface.

It's some kind of parsing or integration error due to what I think is codex not anticipating server-side tool calling and how meta treats those ids... first couple times running codex with muse, it would fail on its first non-web search call.

Got it fixed, not personally sold on the bespoke server-side tool calling and indefinite file storage yet, but also a very cool model that I'm enjoying using so far!

https://github.com/accretional/awesome-muse-spark/blob/main/...

Re: Muse Spark 1.1

#163

Post by wyck »

eugene3306 wrote: post #65

> Model API is not available in your region. :( Well, Vietnam is not in the list of restricted territories. Anyway, what is "your region" ? Is this where I am now, or is it where I activated my Oculus 2 five years ago ?

Same in Canada. lol

Re: Muse Spark 1.1

#164

Post by Aurornis »

Tiberium wrote: post #4

The pricing is insane: $1.25/$4.5 for 1M tokens, and $0.15 for cached input! https://dev.meta.ai/docs/getting-started/pricing-rate-limits

The cached input pricing is a good ratio.

Compare with Grok 4.5 which came out at $2/$6 but then quietly charges $0.50 per 1M cached input tokens. That's as high as Opus 4.8!

Re: Muse Spark 1.1

#165

Post by Aurornis »

mchusma wrote: post #125
Tiberium wrote: post #4

The pricing is insane: $1.25/$4.5 for 1M tokens, and $0.15 for cached input! https://dev.meta.ai/docs/getting-started/pricing-rate-limits

Yeah, this is most directly comparable to xAI Grok 4.5. In both cases, directionally "opus level intelligence for haiku prices" which is a really big deal for application developers who want to include models like this in their applications. I have been testing switching out haiku and sonnet for Grok 4.5, and may give this a try too (it is quite a bit cheaper, particularly for cached).

> Yeah, this is most directly comparable to xAI Grok 4.5.

Grok 4.5 has a relatively high $0.50 per 1M cached input token rate, compared to $0.15 on this model.

Grok 4.5 cached input costs the same as Opus 4.8 cached input, which is going to make it a lot more expensive to use for multi-turn coding than many would assume from the $2/$6 headline numbers they led with.

Re: Muse Spark 1.1

#166

Post by htrp »

jacobgold wrote: post #101

Maybe Zuck should double down on his "spoiler" role with models rather than compete head-to-head. He doesn't have to match Anthropic or OpenAI model revenue if he can deflate theirs by 99%. All he has to do is keep spending a few billion dollars developing frontier models, release them as open weights, and turn coding models into a commodity. He also needs a good OSS reference harness to match. Very few people are in…

He tried that with llama?

Re: Muse Spark 1.1

#168

Post by visiondude »

jacobgold wrote: post #101

Maybe Zuck should double down on his "spoiler" role with models rather than compete head-to-head. He doesn't have to match Anthropic or OpenAI model revenue if he can deflate theirs by 99%. All he has to do is keep spending a few billion dollars developing frontier models, release them as open weights, and turn coding models into a commodity. He also needs a good OSS reference harness to match. Very few people are in…

the way he could really be the spoiler king is to release an their training dataset to open source… doubt he’d go that far.

Re: Muse Spark 1.1

#169

Post by mchusma »

anthonypasq wrote: post #105
paxys wrote: post #53

Earlier quoted context omitted.

How is it their first try? They were leading the race with Llama 3.x a few years ago.

As far as i remember, the entire AI org was essentially gutted and replaced with whoever Wang wanted to hire, and tbh that org completely failed to train llama 4 and I honestly doubt whatever techniques they used to ship llama 3 are at all relevant now. That was before reasoning models and the heavy emphasis on RL/post-training. so yeah, this is essentially their first try with a completely new org.

I agree with parent, Meta has been at this a long time and its only because they have recently fallen off that they pushed this "oh give us credit its really a new org" thing. Basically, if you can't actually "win" then try to fake a restart and say we are the fastest.

Even given that, this is their second try (they had Spark 1.0). Spark 1.0 was uninteresting, this is potentially interesting, but we can't really try it yet it seems (at least not in Openrouter).

Ultimately, competition is now fierce in this broad level of intelligence/cost: Spark 1.1, Grok 4.5, GPT 5.6 Luna, GLM 5.2

Sonnet not in the same ballpark of pricing (more expensive than Opus in many cases). Haiku has been basically abandoned.

Re: Muse Spark 1.1

#170

Post by simonw »

gavinray wrote: post #144
edcrfv wrote: post #138

Earlier quoted context omitted.

How do you find the time to “preview” so many models? It’s been a crazy time recently with the model releases. Does it ever feel like a chore?

His primary interest nowadays is LLM's. Unsure if he gets paid for it, but he seems to take it as a dayjob.

My blog genuinely is a day job now, I make enough from the (unobtrusive, cookie-free) sponsorship banner that I no longer regret not having a proper software engineering job.
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