Meta releases Muse Spark, the first model from Meta Superintelligence Labs under Alexandr Wang, to “power a smarter and faster” Meta AI across Meta's products

Muse Spark ‘purpose-built’ for social media apps as investors question huge AI investment

Financial Times 2026-04-08

Discussion

@daniel_mac8 Dan McAteer on x
Meta is BACK in the game. Meta Superintelligence Labs releases: > Muse Spark Competitive with other frontier models, esp in multimodal. No API pricing yet. If competitively priced it could be a solid option. Also released “contemplative” mode that puts it on par with GPT-5.4 [ima…
@devteamdrew DreW on x
Meta's Muse Spark is here, and it's a monster. 🧬 It's sweeping GPT 5.4, Gemini 3.1 Pro, and Opus 4.6 on multimodal and reasoning benchmarks. But for the vibe coders, the status quo remains: Claude Opus 4.6 still holds the line on agentic coding. The frontier just got a lot
@kimmonismus @kimmonismus on x
Lol what?! Meta has been cooking! These benchmarks are really freaking good holy!! [image]
@pitdesi Sheel Mohnot on x
It's really good, actually! Meta got their act together. New contender for America's Next Top Model https://www.meta.ai/ Stock up 8%.
@mgsiegler M.G. Siegler on x
‘Llama’ was a good, fun, clever name. ‘Muse Spark’ is the opposite. Sounds Adobian or Salesforcian. Or just like it's from a random name generator found online.
@eliebakouch Elie on x
the pre training scaling ladder is very nice [image]
@scaling01 @scaling01 on x
Meta might actually be back with Muse Spark Still behind OpenAI, Anthropic and Google, but ahead of xAI and chinese labs [image]
@rihardjarc Rihard Jarc on x
Specialization of models will be the new trend and companies can form serious edges here IMO. $META 's new model focuses on health, social content, shopping, games. [image]
@negligible_cap @negligible_cap on x
New $META Muse Spark demonstrated 98% refusal on use of biological and chemical weapons! “We found that Muse Spark demonstrates strong refusal behavior across high-risk domains such as biological and chemical weapons, enabled by pretraining data filtering, safety-focused [image]
@yuchenj_uw Yuchen Jin on x
Meta released Avocado, they call it Muse Spark. It's not open source (a bit sad). Meta TBD lab rebuilt the entire pretraining stack in 9 months and reached similar capability with >10x less compute than Llama 4 Maverick. I still think infra is the real moat in AI labs. You can [i…
@rihardjarc Rihard Jarc on x
$META entering the AI model arena once again with Muse Spark. [image]
@meghanbobrowsky Meghan Bobrowsky on x
It's worth keeping in mind that this launch is a departure from previous models which were open-source This model is closed and will only be available as a private preview to a few partners. The company said it may open-source some versions of the model in the future
@scaling01 @scaling01 on x
Meta's new family of AI models can reach the same performance as Kimi-K2 with only 30% of the compute and only 10% of the compute to reach the level of Llama-4 Maverick they completely rebuilt their pretraining stack with improvements to model architecture, optimization, and [ima…
@artificialanlys @artificialanlys on x
Meta is back! Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. Muse Spark is the first new release since Llama 4 in April 2025 and also Meta's first release that is not open weights Muse Spark is a new […
@rpnickson Roberto Nickson on x
Meta just announced Muse Spark - the first model release from Meta Superintelligence Labs. It isn't SOTA, but very competitive with the leading models across a lot of important benchmarks. For example, Muse Spark Contemplating mode scored 50.4% on HLE with tools, compared to [vid…
@matthuang Matt Huang on x
Meta is back in the game! It's been fun to test out Muse Spark. Beyond benchmarks, it's actually a good day to day model... surprisingly good at technical problems and making arcade games. Never bet against @alexandr_wang @natfriedman @danielgross
@ai_for_success AshutoshShrivastava on x
🚨 Meta has released Muse Spark, the first model in a new reasoning-focused family designed for personal superintelligence. TLDR - Natively multimodal model with visual chain of thought - Features Contemplating mode for parallel multi-agent reasoning - Rebuilt pretraining stack [i…
@shuchaobi @shuchaobi on x
Muse Spark represents the beginning of a significant collaborative team effort. The holistic training recipe is the model's end-to-end education: school, homework, and on-the-job training, and we just got started. Feedback is extremely welcome. Carry on.
@mikeisaac Rat King on x
new model release day for meta and the first since the company acquired scale leadership last year “Muse Spark” [image]
@aiatmeta @aiatmeta on x
Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is available today at [image]
@shuchaobi @shuchaobi on x
Meet Muse Spark. This is one step towards personal superintelligence and a great team effort involving numerous nights of training, debugging, improving instability, and fighting reward hacking. We have just begun, and feedback is extremely welcome.
@alexandr_wang Alexandr Wang on x
6/ muse spark powers a meta ai that sees and understands the world around you, pulls from real conversations across our apps, and reasons through complex questions in health, science, and math. built for the 3 billion people already using our apps every day.
@alexandr_wang Alexandr Wang on x
4/ we conducted extensive safety evaluations before deployment, both before and after applying mitigations across frontier risk categories, behavioral alignment, and adversarial robustness. we found muse spark demonstrated strong refusal behavior across high-risk domains such as …
@alexandr_wang Alexandr Wang on x
3/ we're also releasing contemplating mode, which orchestrates multiple agents that reason in parallel designed to handle complex scientific & reasoning queries. in our testing we found it competitive w/ other extreme reasoning models such as Gemini Deep Think & GPT Pro. [image]
@alexandr_wang Alexandr Wang on x
2/ muse spark is a natively multimodal reasoning model w/ support for tool-use, visual chain of thought, & multi-agent orchestration. it's the most powerful model that meta has released. through its training process, we saw predictable scaling across pretraining, RL, & test-time
@alexandr_wang Alexandr Wang on x
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵 [image]
@shengjia_zhao Shengjia Zhao on x
Excited to share what we've been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It's a natively multimodal reasoning model and the first step on our path to personal superintelligence. We've overhauled our entire stack to support [image]
@testingcatalog @testingcatalog on x
BREAKING 🚨: Meta updated its Meta AI app with a slightly new design as well as its underlying model. “I am Meta AI, powered by Muse Spark from the Muse model family.” It constantly refers to the Muse model family and responses seem to be a bit different from earlier tested [image…
@chetaslua @chetaslua on x
🚨 Meta AI rolled Muse Spark new model > January 2026 knowledge cutoff > better in reasoning > small model > coding is not good as usual > ts good but not godly at vision try this at meta dot ai toggle think button [image]
@oncescuradu Radu Oncescu on x
💠Meta has launched a new visual identity for Meta AI that includes a brand new logo and a new colour for the app's main buttons. @testingcatalog [image]
r/LocalLLaMA r on reddit
Meta new reasoning model Muse Spark
@alexandr_wang Alexandr Wang on x
@alex we intend to release the API soon! we look forward to it powering some claws out there :)
@emollick Ethan Mollick on x
I think the most obvious is that Meta has its own frontier model and can use that to extract additional value out of its customer base/explore new markets for its products. Very few companies can say that, and it has value on its own.
@emollick Ethan Mollick on x
Seems like a good model from Meta that is still trailing the current series of releases. The most important thing to note is that it is not open weights. That was the main reason that Meta's models were so important. Without that, it is a lot harder to predict the value of Spark
@itspaulai Paul Couvert on x
Wow Meta has just released their new model... and it's competitive with Opus 4.6 - Natively multimodal - Available for free (see below) - Fast and reasoning variants - Plans for new open source models They're also releasing a new “contemplating mode”. It orchestrates multiple [im…
@krishnanrohit Rohit on x
“we can reach the same capabilities with over an order of magnitude less compute than our previous model, Llama 4 Maverick” Interesting. Also not open source anymore.
@_nathancalvin Nathan Calvin on x
Looks like Meta basically completely rewrote their scaling policy with this release. Digging through it, but on an initial skim looks like a meaningful improvement that puts them closer to their peers at Google, OpenAI and Anthropic. (though all of them need to do much better) [i…
@chatgpt21 Chris on x
Meta Muse Spark Benchmarks: 89.5% on GPQA 42.5% on ARC AGI 2 50.4% on HLE 77.4% on SWE 52% on SWE PRO I feel like this is more of a panic release from meta because if Claude MYTHOS released yesterday it would be extremely embarrassing that Claude Mythos beats Metas Muse SWE [imag…
@scaling01 @scaling01 on x
Artificial Analysis reflects the effectiveness of their reasoning compression [image]
@rihardjarc Rihard Jarc on x
The market will start to realize those $META stock options exercise prices are there for a reason. Never bet against Zuck. Long $META [image]
r/wallstreetbets r on reddit
Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions
@scale_ai @scale_ai on x
Breaking: @AIatMeta just released Muse Spark — now live across @ScaleAILabs leaderboards. Here's how it stacks up: Tied for 🥇on SWE-Bench Pro Tied for 🥇on HLE Tied for 🥇on MCP Atlas Tied for 🥇on PR Bench - Legal Tied for 🥈on SWE Atlas Test Writing 🥈on PR Bench - Finance [image]
r/technology r on reddit
Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions
@kimmonismus @kimmonismus on x
Didn't expect Meta's model to outperform Opus 4.6 or GPT-5.4. But it still surprises me how well it performs and how close it is to other frontier models on toughest challenges. [image]
@fleetingbits @fleetingbits on x
the important thing about muse spark, beside showing that msl can train a frontier model, is that meta has great consumer distribution so, their shopping app is a competitor to shopping on chatgpt; they show health benchmarks because that's an important consumer use of chatbots
@beffjezos @beffjezos on x
The rate of de novo intelligence production is accelerating
@epochairesearch @epochairesearch on x
We also evaluated it on GPQA Diamond (90%), OTIS Mock AIME 2024-2025 (89%), and SimpleQA Verified (66%). We assess a preliminary ECI score of 154, a bit higher than GPT-5.2 and a bit lower than Opus 4.6. The 90% CI is wide: 151-158. It will narrow as we add more benchmarks.
@epochairesearch @epochairesearch on x
We had pre-release access to Meta's new Muse Spark model and evaluated it on FrontierMath. It scored 39% on Tiers 1-3 and 15% on Tier 4. This is competitive with several recent frontier models, though behind GPT-5.4. [image]
@t_xu Tony Xu on x
It's always impressive to watch teams put their nose to the grind and ship with velocity and quality, especially in a sea of noise. Congrats @alexandr_wang and team on today's milestone! Given the rate of change, I can't wait to try all of the things you ship.
@dzhang50 @dzhang50 on x
Congrats Meta on an impressive initial model launch! However, the compute efficiency claim doesn't seem to translate to evals. Was Muse Spark pretrained on 3x less compute than Kimi K2? [image]
@daniel_271828 Daniel Eth on x
Great to see Meta take loss-of-control risk more seriously! At this point, all 5 U.S. labs at/near the frontier have acknowledged these risks and encouraged measures to address them [image]
@officiallogank Logan Kilpatrick on x
@alexandr_wang Congrats to y'all!! Excited to Meta back in the game : )
@dinapowellmcc Dina Powell McCormick on x
So proud of @alexandr_wang, @natfriedman and the whole team at @Meta Superintelligence Labs on the release of Muse Spark! After 9 months, it's exciting to see the progress. As Mark said, “We believe that empowering people to pursue their individual aspirations is how humanity
@zixuanli_ Zixuan Li on x
Impressive new milestone👏 Fortunate to have launched GLM-5.1 ahead of the giant.
@rauchg Guillermo Rauch on x
The best outcome for humanity is many strong AIs competing for the top spot. Vercel is proudly powering https://meta.ai/ and the infrastructure that made today's model release possible.
@patrickc Patrick Collison on x
Congratulations to Alex and the whole team at MSL. As a sucker for all things speedy ( https://patrickcollison.com/ fast), I thought this was an impressive chart: [image]
@jonchu @jonchu on x
And it all makes sense where the attention in the company is. If this were open weight, it'd be a top 3 model in usage.
@hosseeb Haseeb on x
Damn. Looks like reports of Meta's death have been greatly exaggerated. It's a race again.
@aiatmeta @aiatmeta on x
Muse Spark is built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization, enabling interactive experiences like troubleshooting your home appliances with dynamic …
@davelee.me Dave Lee on bluesky
Has Meta done ANYTHING with AI that couldn't have been done at a fraction of the cost by just using someone else's models? www.ft.com/content/0efb...
@alexandr_wang Alexandr Wang on x
a good writeup about Muse Spark on a few complex queries (multimodal, stock analysis, coding): https://www.riteshkhanna.com/ ...
@garrytan Garry Tan on x
You can make very impressive one shot arcade games with this!
@flavioad Flavio Adamo on x
After MORE THAN A YEAR, Meta finally released a model that passes the Hexagon Test and I'm not gonna lie this is weirdly emotional 🥹 sorry guys but history had to be documented!! [video]
@minyangtian1 Minyang Tian on x
Congrats to @AIatMeta on the release of Muse Spark! Jumping from Llama 4 Maverick at 0 to 11.3 on CritPt is a huge leap. Given that CritPt consists of original, research-level physics problems designed by expert physicists, this is seriously impressive! [image]
@skirano Pietro Schirano on x
Ok this is actually pretty impressive and I truly didn't see any model doing this before or being able to do it to this extent. When I asked Muse Spark from Meta to convert this image into code, it cut out the assets from the screens so it could use them correctly! [video]
@fchollet François Chollet on x
The new model from Meta is already looking like a disappointment: overoptimized for public benchmark numbers at the detriment of everything else. Knowing how to evaluate models in a way that correlates with actual usefulness is a core competency for AI labs, and any new lab is u…
@pitdesi Sheel Mohnot on x
It's really good, actually! Meta got their act together. New contender for America's Next Top Model I tested it against my last several Claude queries, and the Meta answers were better in my limited test. Stock up 8%. https://www.meta.ai/
@xlr8harder @xlr8harder on x
I have zero interest in sharing my personal data with Meta or operating with their ecosystem. The only reason I ever used Meta models before was because they were open source. What's the selling point, exactly? Not open source, and no API...?
@danabra.mov Dan on bluesky
chatgpt and claude are web-aware but not really social web aware (bc web is closed duh) and not very personalized — meta is going for the opposite side of the spectrum: hyperpersonalized and embeds of people/app-specific stuff — meta can improve models but chatgpt/anthropic c…

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Meta releases Muse Spark, the first model from Meta Superintelligence Labs under Alexandr Wang, to “power a smarter and faster” Meta AI across Meta's products

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