Earlier quoted context omitted.
Aren't there multiple providers for it? is it rate limited in all providers?
I have no issues via openrouter.
I am using Z.AI coding plan, but will give OR another shot!
Muse Spark 1.1
181–190 of 228 posts
Re: Muse Spark 1.1
#182The 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
This is still ridiculously expensive imagine having to pay $10 for 100 search results on Google, thats essentially what this is. I really dont see how anyone's willing spend more than $1.50 per mm output. Let alone $15-50. Does anyone actually pay for usage based billing as a consumer?
Yeah, DeepSeek V4 (Flash and Pro) is below $0.004 for 1M cache hits.
Even with usage based billing I'm below $1 writing code all day.
Re: Muse Spark 1.1
#183Where is the data retention policy information for paid API per-token uses? Every other provider has one and makes it clear how they handle your data. A quick look doesn’t show one for this new offering.
Re: Muse Spark 1.1
#184I personally do not like Meta, but I'll say this. The more competition, the better for regular consumers. (Enterprise too) - Chinese models - Grok - Meta - Google - OpenAI - Anthropic I think this is a win. I'm building like crazy to take advantage of all these subsidized tokens while I can.
To expand on Chinese models: - DeepSeek - GLM (Z.ai) - Minimax - Kimi (Moonshot) - Hy3 (Tencent) - Qwen (Alibaba) (Each one of these with weights available to download and run locally)
- MiMo (Xiaomi)
Re: Muse Spark 1.1
#185Not open source, so not relevant. The only ones that can be relevant while being closed source are anthropic and openai. Not even Google except for search, not even spacexai. People use chatgpt more than Gemini for the average person who is not searching.
Re: Muse Spark 1.1
#186Earlier quoted context omitted.
Meta's local llama models used to be the face of open source AI. The scene has really changed.
they likely got the Peter Theil newsletter proclaiming open source models are the antichrist
That person is Alexandr Wang. He made his money selling data annotation services to closed source companies: openai, anthropic, Google, even Meta
Re: Muse Spark 1.1
#187Their published benchmarks seem to indicate that it's pretty good at coding and multimodal, but VERY good at successful tool calls. What kind of use case would be best for that shape?
Gemini 3.5 flash is better than fable at tool calling. Tool calling is probably one of the easier things to do post training for.
I don't use Gemini cli because they're so bad at agentic work/tool calling. I use their chatbot all the time, though.
Re: Muse Spark 1.1
#188Maybe 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.
if they release training dataset, they will be in trouble for copyright reasons
Re: Muse Spark 1.1
#189The 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
This is still ridiculously expensive imagine having to pay $10 for 100 search results on Google, thats essentially what this is. I really dont see how anyone's willing spend more than $1.50 per mm output. Let alone $15-50. Does anyone actually pay for usage based billing as a consumer?
Sometimes. It depends on the task. $15/Mtok is still a lot cheaper than human written code. It’s probably worth spending more for contract reviews. Tasks don’t have uniform value. If you’re using an AI for entertainment, then frontier premiums are hard to justify. For paid work, they’re a great deal if used reasonably.
Re: Muse Spark 1.1
#190Earlier quoted context omitted.
This is still ridiculously expensive imagine having to pay $10 for 100 search results on Google, thats essentially what this is. I really dont see how anyone's willing spend more than $1.50 per mm output. Let alone $15-50. Does anyone actually pay for usage based billing as a consumer?
Yeah, DeepSeek V4 (Flash and Pro) is below $0.004 for 1M cache hits. Even with usage based billing I'm below $1 writing code all day.
Yes, this is the only pricing that seems sustainable