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Hot take: Meta's new Muse Spark and Muse Code stuff is actually pretty good, and Spark 1.2 going open weight is awesome

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Theo - t3.gg

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70,584 views • 23 days ago •via X (Twitter)

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🎮 This entire Avo Lawn game was built with Muse Spark 1.2 + Muse Code. 🥑 Now it’s your turn—use Muse Spark 1.2 to build your own game and see what you can create. To play: Check out our blog post:
0:21

🎮 This entire Avo Lawn game was built with Muse Spark 1.2 + Muse Code. 🥑 Now it’s your turn—use Muse Spark 1.2 to build your own game and see what you can create. To play: Check out our blog post:

Zi Lin

42,377 views • 29 days ago

1/ muse spark 1.2 is a very strong multimodal model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.
0:19

1/ muse spark 1.2 is a very strong multimodal model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.

Alexandr Wang

163,617 views • 14 days ago

Muse Spark 1.3 is here🙌 — and 3D game dev is getting seriously fun. I’ve been having so much fun building alongside Muse Code — turning ideas into playable 3D worlds and iterating together along the way. A glimpse of what’s possible ↓
0:38

Muse Spark 1.3 is here🙌 — and 3D game dev is getting seriously fun. I’ve been having so much fun building alongside Muse Code — turning ideas into playable 3D worlds and iterating together along the way. A glimpse of what’s possible ↓

Zi Lin

28,648 views • 1 day ago

Muse Spark 1.1 is here! Available today via API and on Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more:
1:33

Muse Spark 1.1 is here! Available today via API and on Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more:

Jiahui Yu

119,915 views • 1 month ago

The model that is better than Opus. Muse Spark is now available for agentic trading on Beep. Be the first to trade with Spark AI Agent:
1:03

The model that is better than Opus. Muse Spark is now available for agentic trading on Beep. Be the first to trade with Spark AI Agent:

Beep

145,803 views • 1 month ago

meta muse just mogged fable 5.1 tested fable 5.1 and muse spark 1.3 with same prompt at highest reasoning available and results came out really different > muse spark 1.3 completed task in one minute and costed almost nothing > fable 5.1 completed task in 70 minutes and costed $13 it's clear that meta is stepping up their game in ai, they don't wanna left behind which one did better here?
0:25

meta muse just mogged fable 5.1 tested fable 5.1 and muse spark 1.3 with same prompt at highest reasoning available and results came out really different > muse spark 1.3 completed task in one minute and costed almost nothing > fable 5.1 completed task in 70 minutes and costed $13 it's clear that meta is stepping up their game in ai, they don't wanna left behind which one did better here?

J A Z I I

70,390 views • 1 day ago

Muse Spark claims to outperform leading AI models like Opus, GPT, and Gemini. We put it through a real-world finance stress test. Beep agents can now use Muse Spark for agentic trading on Sui. Deploy now: 🧵
1:18

Muse Spark claims to outperform leading AI models like Opus, GPT, and Gemini. We put it through a real-world finance stress test. Beep agents can now use Muse Spark for agentic trading on Sui. Deploy now: 🧵

Beep

96,829 views • 1 month ago

Meta announced a new series of Meta Glasses in partnership with EssilorLuxottica. > Compatible with prescription lenses. > 26 styles across a range of colors, lenses, and frames. > Launching with Meta AI powered by Muse Spark from day one. My Meta HSTN still didn't get Muse Spark, tho 👀
0:35

Meta announced a new series of Meta Glasses in partnership with EssilorLuxottica. > Compatible with prescription lenses. > 26 styles across a range of colors, lenses, and frames. > Launching with Meta AI powered by Muse Spark from day one. My Meta HSTN still didn't get Muse Spark, tho 👀

🚨 AI News | TestingCatalog

29,822 views • 2 months ago

Meta's Muse Spark 1.1 beat Gemini 3.6 at making 3D arcade games for 3x cheaper! We gave two models the same task: build three 3D tabletop games that play themselves Prompts: - An 8-ball pool break scattering the rack - An air hockey rally that ends in a goal - A foosball table where the rods play the ball Outputs: Muse Spark 1.1: 31.3K tokens, $0.026 Gemini 3.6: 28.8K tokens, $0.073 Muse Spark played all three tables clean with far more detail than Gemini, which barely rendered its backgrounds. Its air hockey glitched and its foosball lagged into a buggy still picture. Muse Spark 1.1 ran the full set perfectly for 3x less
0:22

Meta's Muse Spark 1.1 beat Gemini 3.6 at making 3D arcade games for 3x cheaper! We gave two models the same task: build three 3D tabletop games that play themselves Prompts: - An 8-ball pool break scattering the rack - An air hockey rally that ends in a goal - A foosball table where the rods play the ball Outputs: Muse Spark 1.1: 31.3K tokens, $0.026 Gemini 3.6: 28.8K tokens, $0.073 Muse Spark played all three tables clean with far more detail than Gemini, which barely rendered its backgrounds. Its air hockey glitched and its foosball lagged into a buggy still picture. Muse Spark 1.1 ran the full set perfectly for 3x less

atomic.chat

125,857 views • 1 month ago

Muse Spark 1.2 supports a broad range of multimodal tasks, from turning visuals into working code to translating perception into physical action. It also brings robust audio-visual understanding to enable video-heavy workflows common in real-world enterprise use. Today, we’re sharing new evals and demos that illustrate the breadth of the model’s visual understanding and reasoning capabilities. Let’s start with a demo that shows how Muse Spark parses multimodal observations and calls tools to guide a robot to navigate in an unstructured environment to find a rubber duck. 🧵👇
0:43

Muse Spark 1.2 supports a broad range of multimodal tasks, from turning visuals into working code to translating perception into physical action. It also brings robust audio-visual understanding to enable video-heavy workflows common in real-world enterprise use. Today, we’re sharing new evals and demos that illustrate the breadth of the model’s visual understanding and reasoning capabilities. Let’s start with a demo that shows how Muse Spark parses multimodal observations and calls tools to guide a robot to navigate in an unstructured environment to find a rubber duck. 🧵👇

AI at Meta

52,415 views • 14 days ago

Mark Zuckerberg announces Meta's new AI model Muse Glimmer. It's an open-weight model that can run 24/7 on your Mac or PC. "And we've got even bigger models coming soon too," Zuckerberg says.
0:39

Mark Zuckerberg announces Meta's new AI model Muse Glimmer. It's an open-weight model that can run 24/7 on your Mac or PC. "And we've got even bigger models coming soon too," Zuckerberg says.

Yahoo Finance

61,276 views • 24 days ago

Is Meta still chasing a frontier model? Well, yes, Muse Spark was but an appetizer, according to Alexandr Wang. Full pod here -
3:49

Is Meta still chasing a frontier model? Well, yes, Muse Spark was but an appetizer, according to Alexandr Wang. Full pod here -

Ashlee Vance

18,297 views • 3 months ago

Did you know Muse can do this? Generative sequencing, FM, and diffusion delay working together to create evolving bell patterns that just keep going… ⚡ What ideas does this spark?
2:20

Did you know Muse can do this? Generative sequencing, FM, and diffusion delay working together to create evolving bell patterns that just keep going… ⚡ What ideas does this spark?

Moog Synthesizers

11,349 views • 2 months ago

gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: Nous Research's hermes agent cli on OpenRouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: Three.js r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: Google DeepMind gemini 3.7 flash, DeepSeek v4 pro 0813, AI at Meta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow thehype. for 24/7 ai news, analysis and breakdowns
0:45

gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: Nous Research's hermes agent cli on OpenRouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: Three.js r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: Google DeepMind gemini 3.7 flash, DeepSeek v4 pro 0813, AI at Meta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

29,033 views • 16 days ago

Muse Spark 1.1 also excels in perception and multimodal reasoning, inspecting visual and audio inputs, preserving details across long workflows, and acting on them in real execution environments. It shows particular strengths in visual-to-code generation, rich image/video captioning, and agentic computer use. In this demo, using video shot from a smartphone, Muse Spark 1.1 extracts useful photos and reasons about the product to operate a user's browser and make a Facebook Marketplace listing on the user's behalf.
1:45

Muse Spark 1.1 also excels in perception and multimodal reasoning, inspecting visual and audio inputs, preserving details across long workflows, and acting on them in real execution environments. It shows particular strengths in visual-to-code generation, rich image/video captioning, and agentic computer use. In this demo, using video shot from a smartphone, Muse Spark 1.1 extracts useful photos and reasons about the product to operate a user's browser and make a Facebook Marketplace listing on the user's behalf.

AI at Meta

73,919 views • 1 month ago

The price of frontier AI just hit zero. Three times in one week. > OpenAI: GPT-5.6 Luna free and unlimited in ChatGPT. No caps, no card: > MonkeyCode: 30M tokens/day, resets daily. DeepSeek V4 Flash, Qwen, GLM, Kimi, MiniMax. Browser-based: > Meta Muse Code: $1.25 per million input tokens. Terminal agent, Muse Spark 1.2. macOS, Linux: The barrier stopped being price. Now it's knowing where to look.
0:29

The price of frontier AI just hit zero. Three times in one week. > OpenAI: GPT-5.6 Luna free and unlimited in ChatGPT. No caps, no card: > MonkeyCode: 30M tokens/day, resets daily. DeepSeek V4 Flash, Qwen, GLM, Kimi, MiniMax. Browser-based: > Meta Muse Code: $1.25 per million input tokens. Terminal agent, Muse Spark 1.2. macOS, Linux: The barrier stopped being price. Now it's knowing where to look.

ＺＥＦＩ

38,420 views • 27 days ago

muse spark 1.1 in AdaL Engineer beats Opus4.8 in Claude Code with 20% of the cost loop engineering, when done right, is beyond just running longer, its delivering better results when contexts are managed well and when workers are better prompted to stay honest. how GANs had changed image generation is how loop engineering is changing agentic engineering. muse sparking is truly musing the world, bringing us to the next more autonomous era.
1:11

muse spark 1.1 in AdaL Engineer beats Opus4.8 in Claude Code with 20% of the cost loop engineering, when done right, is beyond just running longer, its delivering better results when contexts are managed well and when workers are better prompted to stay honest. how GANs had changed image generation is how loop engineering is changing agentic engineering. muse sparking is truly musing the world, bringing us to the next more autonomous era.

Li Yin

63,641 views • 1 month ago

3/ computer use: it can operate desktop, browser, and mobile. muse spark 1.1 is trained to know when to automate and when to use interfaces directly. it scripts when that’s faster, clicks when direct interaction is simpler, and batches actions at each step.
1:49

3/ computer use: it can operate desktop, browser, and mobile. muse spark 1.1 is trained to know when to automate and when to use interfaces directly. it scripts when that’s faster, clicks when direct interaction is simpler, and batches actions at each step.

Alexandr Wang

161,802 views • 1 month ago

Spark has too much rizz Pasquale D’Silva and Spark Lingonberry what is this magic!?
0:24

Spark has too much rizz Pasquale D’Silva and Spark Lingonberry what is this magic!?

agatha

17,986 views • 1 year ago

AI at Meta's Muse Glimmer (30B dense, open-weights) launches with SGLang day-0 support. We got ~230 tok/s on a single RTX 5090, with NVFP4 + DFlash on. It also works out of the box on NVIDIA AI Developer RTX Pro 6000, DGX Spark, and MLX for Mac. Speed and reliability have always been the blockers for a local agent. SGLang and Muse Glimmer make a local agent that's blazing fast, always on, and gets things done. Go build and run a local agent on your own machine!🚀
0:32

AI at Meta's Muse Glimmer (30B dense, open-weights) launches with SGLang day-0 support. We got ~230 tok/s on a single RTX 5090, with NVFP4 + DFlash on. It also works out of the box on NVIDIA AI Developer RTX Pro 6000, DGX Spark, and MLX for Mac. Speed and reliability have always been the blockers for a local agent. SGLang and Muse Glimmer make a local agent that's blazing fast, always on, and gets things done. Go build and run a local agent on your own machine!🚀

LMSYS Org

43,106 views • 24 days ago