Live data from Hacker News

Muse Code and Muse Spark 1.2

research.meta.ai

11–20 of 265 posts

Re: Muse Code and Muse Spark 1.2

#11
post #4
post #3

I wonder why they didn't compare with GPT-5.6-sol, only Terra?

Clearly they're positioning it as a mid model.

Which is in itself a bit weird as mid models nowadays are a golden mean fallacy. Terra is much less popular than both Luna (cost-sensitive) and Sol (performance-sensitive).

Claude Sonnet is a weird exception to the mid models because Anthropic doesn't do much with Haiku and Opus is too big.

Re: Muse Code and Muse Spark 1.2

#13
This is a nice release and a solid improvement over Spark 1.1. It compares favorably with Grok 4.5. Not SOTA, but solid releases. I think they need to really get this more competitive with Deepseek V4 Flash / Luna pricing to move the needle.

Re: Muse Code and Muse Spark 1.2

#15
If anyone from Meta is reading, please can you publish the cost and latency for each of your benchmarks, like OpenAI does? Show us how the reasoning effort level affects them in 2D charts. This needs to become standard practice.

Re: Muse Code and Muse Spark 1.2

#19
https://pbs.twimg.com/media/HO-59jQaoAA_JZ1?format=jpg

Very interesting they have a way cheaper "contributor" version "used to improve our products", how much of that is price discrimination vs the data being that valuable?

Roughly DeepSeek V4 Flash pricing, though you can get V4 from providers that don't train on your data

Re: Muse Code and Muse Spark 1.2

#20
Pricing: https://dev.meta.ai/docs/pricing-rate-limits

Interesting that they have separate API pricing for "we can train on your data" (whereas iirc most of the big players either make that distinction only between subscriptions and API usage, or train on everything). Wonder how it compares to Deepseek V4 Flash given that they're similar on pricing and data policy.

Post reply on HN