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Grok 4.5 vs Meta Muse 1.1 I think both cooked really well!! WOW! Left: Grok 4.5 Right: Meta Muse 1.1

Sai Nemani

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23,205 views • 17 days ago •via X (Twitter)

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Muse Spark 1.1 costs $0.20 Grok 4.5 costs $0.51 GPT 5.6 Sol costs $1.93 Fable 5 costs $5.20 Select your model wisely!

Muse Spark 1.1 costs $0.20 Grok 4.5 costs $0.51 GPT 5.6 Sol costs $1.93 Fable 5 costs $5.20 Select your model wisely!

Shub

588,375 views • 14 days ago

Grok 4.5 crushed OpenAI & Meta in this test! Cost per run: GPT Sol $1.63 Grok 4.5 $2.47 Meta Muse Spark 1.1 $1.08 The three prompts: • Fruit Ninja – style slicing game • Angry Birds – style fort collapse • Crossy Road clone Grok nailed all three: clean physics, smooth playback, good visuals. GPT Sol did fine until Crossy Road, where it froze. Meta Muse Spark was cheapest and it showed: its Crossy Road lagged badly. The question isn't which model is cheapest, it's what a broken output costs you in reruns, wasted time, and things you can't ship. Cheap stops being cheap when it doesn't work.

Grok 4.5 crushed OpenAI & Meta in this test! Cost per run: GPT Sol $1.63 Grok 4.5 $2.47 Meta Muse Spark 1.1 $1.08 The three prompts: • Fruit Ninja – style slicing game • Angry Birds – style fort collapse • Crossy Road clone Grok nailed all three: clean physics, smooth playback, good visuals. GPT Sol did fine until Crossy Road, where it froze. Meta Muse Spark was cheapest and it showed: its Crossy Road lagged badly. The question isn't which model is cheapest, it's what a broken output costs you in reruns, wasted time, and things you can't ship. Cheap stops being cheap when it doesn't work.

AI/ML API

108,523 views • 16 days ago

preliminary grok-4.5 testing... is this a fable-like? 😱 i think Elon Musk fricken COOKED!

preliminary grok-4.5 testing... is this a fable-like? 😱 i think Elon Musk fricken COOKED!

Ash

51,070 views • 18 days ago

I said Grok 4.5 was a bigger deal than Fable Elon even liked my post but then GPT-5.6 Sol showed up So I gave 7 of this week's newest AI models their own computer and ran the same real tasks through Hermes Final ranking: 1. GPT-5.6 Sol: best overall 2. Grok 4.5: close second, fast and relentless 3. Muse Spark 1.1: the surprise of the week Benchmarks tell you what a model might do. Watching it control a computer shows you what it can actually do Full comparison ↓

I said Grok 4.5 was a bigger deal than Fable Elon even liked my post but then GPT-5.6 Sol showed up So I gave 7 of this week's newest AI models their own computer and ran the same real tasks through Hermes Final ranking: 1. GPT-5.6 Sol: best overall 2. Grok 4.5: close second, fast and relentless 3. Muse Spark 1.1: the surprise of the week Benchmarks tell you what a model might do. Watching it control a computer shows you what it can actually do Full comparison ↓

Nick Vasilescu

77,563 views • 17 days ago

meta muse spark 1.1 vs gpt 5.6 sol vs fable 5 vs grok 4.5 meta recently dropped muse spark 1.1 – a multimodal reasoning model from meta superintelligence labs built for agentic tasks. key facts: • 1m token context with active self-management – the model compacts its own history and keeps only the steps needed for later work • trained to orchestrate multi-agent systems: as main agent it plans and delegates to parallel subagents, as subagent it sticks to its job and knows when to escalate back • computer use trained to pick between scripting and clicking – writes automation when it's faster, clicks when it's simpler, batches actions per step • first public api from meta: the meta model api is now in preview • benchmarks: sweeps the agent column – mcp atlas 88.1 (opus 4.8: 82.2), jobbench 54.7 (opus: 48.4), humanity's last exam 62.1 (1st). loses coding – deepswe 1.1 53.3 vs gpt 5.5's 67.0, swe bench pro 61.5 vs opus's 69.2 our test – 3 prompts, single-file html, three.js, fully procedural, no assets: 1. norwegian house cantilevered over a fjord in a snowstorm – transmissive glass wall, fully modelled interior 2. beijing siheyuan courtyard house in dawn fog – instanced roof tiles, dougong brackets, glowing paper windows 3. new mexico adobe pueblo in an approaching dust storm – deep window reveals, windward grit accumulation we ran the test on AI/ML API platform results: - cost #1 muse spark 1.1 – $0.20 #2 grok 4.5 – $0.51 #3 gpt 5.6 sol – $1.93 #4 fable 5 – ~$5.20 - output tokens #1 muse spark 1.1 – 41,868 #2 gpt 5.6 sol – 49,139 #3 grok 4.5 – 64,954 #4 fable 5 – 81,849 - lines of code #1 muse spark 1.1 – 1,799 #2 gpt 5.6 sol – 2,377 #3 fable 5 – 3,088 #4 grok 4.5 – 4,216 observations: • muse spark is the cheapest of the four by a wide margin – 2.5x under grok, ~26x under fable per run. output quality tracks the price • only 7.4% of its output tokens are reasoning (3,104 of 41,868) – the model barely thinks before writing. economic, not pedantic: it commits to the first plan and ships it • the low loc is not compression, it's omission – all three prompts demanded instancing, muse spark delivered it in one muse spark's code quality – reviewed by fable 5: upsides: 1. all three files run 2. the adobe grit effect is legit – shader injection via onbeforecompile, windward faces detect storm direction through a normal-dot-wind term and darken procedurally 3. the fjord glass is real meshphysicalmaterial with transmission and ior, not a transparent quad 4. the siheyuan properly instances barrel tiles, dougong blocks and courtyard pavers downsides: 1. in the fjord file the strafe vector is negated – press a, you move right; press d, you move left. exactly the key mix-up we kept hitting with this model 2. all three files ship the model's self-doubt as comments: "// actually yaw orientation: need correct" sits above a direction vector that gets computed, abandoned and recomputed – dead vectors allocated every frame, 60 times a second 3. the siheyuan registers two separate keydown listeners, one containing an empty if-block 4. snow "accumulation" on the norway roof is a sine wobble on a scale value, not accumulation 5. "instanced snow" became 3,500 plain points. zero dispose calls anywhere pattern: minimal reasoning, minimal code, minimal price. it nails the flashy requirements – shaders, transmissive glass – and quietly drops the boring ones: instancing, controls, cleanup. you get a demo that mostly runs and a control scheme you can't trust follow thehype. for 24/7 ai news, analysis and breakdowns

meta muse spark 1.1 vs gpt 5.6 sol vs fable 5 vs grok 4.5 meta recently dropped muse spark 1.1 – a multimodal reasoning model from meta superintelligence labs built for agentic tasks. key facts: • 1m token context with active self-management – the model compacts its own history and keeps only the steps needed for later work • trained to orchestrate multi-agent systems: as main agent it plans and delegates to parallel subagents, as subagent it sticks to its job and knows when to escalate back • computer use trained to pick between scripting and clicking – writes automation when it's faster, clicks when it's simpler, batches actions per step • first public api from meta: the meta model api is now in preview • benchmarks: sweeps the agent column – mcp atlas 88.1 (opus 4.8: 82.2), jobbench 54.7 (opus: 48.4), humanity's last exam 62.1 (1st). loses coding – deepswe 1.1 53.3 vs gpt 5.5's 67.0, swe bench pro 61.5 vs opus's 69.2 our test – 3 prompts, single-file html, three.js, fully procedural, no assets: 1. norwegian house cantilevered over a fjord in a snowstorm – transmissive glass wall, fully modelled interior 2. beijing siheyuan courtyard house in dawn fog – instanced roof tiles, dougong brackets, glowing paper windows 3. new mexico adobe pueblo in an approaching dust storm – deep window reveals, windward grit accumulation we ran the test on AI/ML API platform results: - cost #1 muse spark 1.1 – $0.20 #2 grok 4.5 – $0.51 #3 gpt 5.6 sol – $1.93 #4 fable 5 – ~$5.20 - output tokens #1 muse spark 1.1 – 41,868 #2 gpt 5.6 sol – 49,139 #3 grok 4.5 – 64,954 #4 fable 5 – 81,849 - lines of code #1 muse spark 1.1 – 1,799 #2 gpt 5.6 sol – 2,377 #3 fable 5 – 3,088 #4 grok 4.5 – 4,216 observations: • muse spark is the cheapest of the four by a wide margin – 2.5x under grok, ~26x under fable per run. output quality tracks the price • only 7.4% of its output tokens are reasoning (3,104 of 41,868) – the model barely thinks before writing. economic, not pedantic: it commits to the first plan and ships it • the low loc is not compression, it's omission – all three prompts demanded instancing, muse spark delivered it in one muse spark's code quality – reviewed by fable 5: upsides: 1. all three files run 2. the adobe grit effect is legit – shader injection via onbeforecompile, windward faces detect storm direction through a normal-dot-wind term and darken procedurally 3. the fjord glass is real meshphysicalmaterial with transmission and ior, not a transparent quad 4. the siheyuan properly instances barrel tiles, dougong blocks and courtyard pavers downsides: 1. in the fjord file the strafe vector is negated – press a, you move right; press d, you move left. exactly the key mix-up we kept hitting with this model 2. all three files ship the model's self-doubt as comments: "// actually yaw orientation: need correct" sits above a direction vector that gets computed, abandoned and recomputed – dead vectors allocated every frame, 60 times a second 3. the siheyuan registers two separate keydown listeners, one containing an empty if-block 4. snow "accumulation" on the norway roof is a sine wobble on a scale value, not accumulation 5. "instanced snow" became 3,500 plain points. zero dispose calls anywhere pattern: minimal reasoning, minimal code, minimal price. it nails the flashy requirements – shaders, transmissive glass – and quietly drops the boring ones: instancing, controls, cleanup. you get a demo that mostly runs and a control scheme you can't trust follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

133,801 views • 16 days ago

Codex went from basically unlimited to burning your entire limit in one prompt. We talked about how OpenAI cooked the $200 plan and quietly killed the Codex app. 0:08:46 Intro 0:10:15 Muse Spark 1.1 0:13:13 GPT-Live-1 0:22:03 Grok 4.5 0:35:58 Windsurf & RIP Codex 0:51:38 Apple Sues OpenAI 0:58:05 Elon vs Sam 1:13:24 GPT-5.6 Sol & Limits 1:35:19 Subagents & Agent Workflows 1:47:42 Claude Code + Sol

Codex went from basically unlimited to burning your entire limit in one prompt. We talked about how OpenAI cooked the $200 plan and quietly killed the Codex app. 0:08:46 Intro 0:10:15 Muse Spark 1.1 0:13:13 GPT-Live-1 0:22:03 Grok 4.5 0:35:58 Windsurf & RIP Codex 0:51:38 Apple Sues OpenAI 0:58:05 Elon vs Sam 1:13:24 GPT-5.6 Sol & Limits 1:35:19 Subagents & Agent Workflows 1:47:42 Claude Code + Sol

Nerd Snipe

90,904 views • 12 days ago

Seedance 2.0 vs Meta Muse Video. Both models feature native audio, but Muse Video seems like its currently stuck with a 10-second limit. Meanwhile, Seedance 2.0 can output 15-second cinematic sequences in crisp up to 4K. Meta is cooking, but Seedance 2.0 might still hold the crown for now. Which one are you betting on?

Seedance 2.0 vs Meta Muse Video. Both models feature native audio, but Muse Video seems like its currently stuck with a 10-second limit. Meanwhile, Seedance 2.0 can output 15-second cinematic sequences in crisp up to 4K. Meta is cooking, but Seedance 2.0 might still hold the crown for now. Which one are you betting on?

JSFILMZ

172,893 views • 18 days ago

Grok 4.5 and Muse Spark 1.1 are now available on the AI/ML platform for testing. What a week; all 3 models in the comparison dropped just recently. There will be a lot to experiment with. AI/ML has tested the new models on prompts for playable mini-games, including a Fruit Ninja-style slicer and a Crossy Road clone. All three are live in the Playground and via API for side-by-side runs on output and cost.

Grok 4.5 and Muse Spark 1.1 are now available on the AI/ML platform for testing. What a week; all 3 models in the comparison dropped just recently. There will be a lot to experiment with. AI/ML has tested the new models on prompts for playable mini-games, including a Fruit Ninja-style slicer and a Crossy Road clone. All three are live in the Playground and via API for side-by-side runs on output and cost.

🚨 AI News | TestingCatalog

37,973 views • 16 days ago

Grok 4.5 might be the BEST model to run inside Hermes or OpenClaw RIGHT NOW. I've been sleeping on Grok to be honestNot anymore. It's more than 60% cheaper than Opus 4.8 and lands around $2.49 per task versus ~$12 for Fable in Claude Code. And it's fast. So what happens when you give Hermes + Grok 4.5 its own email, its own phone number, its own debit card, and access to every tool you use? You pretty much get an AI co-founder. Everything you need to know about Grok 4.5 + Hermes below. Full episode is available to watch at The Startup Ideas Podcast (SIP) 🧃 ( thanks Nick Vasilescu for coming on) I slept on Grok. Not sleeping on it anymore. Watch

Grok 4.5 might be the BEST model to run inside Hermes or OpenClaw RIGHT NOW. I've been sleeping on Grok to be honestNot anymore. It's more than 60% cheaper than Opus 4.8 and lands around $2.49 per task versus ~$12 for Fable in Claude Code. And it's fast. So what happens when you give Hermes + Grok 4.5 its own email, its own phone number, its own debit card, and access to every tool you use? You pretty much get an AI co-founder. Everything you need to know about Grok 4.5 + Hermes below. Full episode is available to watch at The Startup Ideas Podcast (SIP) 🧃 ( thanks Nick Vasilescu for coming on) I slept on Grok. Not sleeping on it anymore. Watch

GREG ISENBERG

251,882 views • 16 days ago

timelapse #160 (13.5 hrs) - grok 4.5 high in grok build was my main for today. just getting a vibe check. it understands my intent really well and never messed anything up. i do prefer to stay in the loop with it more than claude though. SpaceXAI really cooked! - not sure what it was, but i was able to stay in flow state with grok build for hours and hours. my memory and retention helped me get a lot done - exhausted 4th claude max 20x plan in 48 hours - training dspark drafters on my traces (kept gpu warm the whole time) - did grok 4.5 high sweeps and was quite impressed at how far the model has come. its around gpt 5.5 level (official post coming) - some very important meetings - contract work - optimizing amd kernels for glm 5.2 fp8 (mostly custom all-reduce whilst avoid deadlocks) for the tiny corp - one shotted and ran all frontier models on a new benchmark which ill be revealing shortly. its the toughest benchmark ive ever made. fable doesnt even come close to beating it - had grok 4.5 take over my minecraft C/CUDA implementation. felt like whack a mole but maybe i just wasnt using it right

timelapse #160 (13.5 hrs) - grok 4.5 high in grok build was my main for today. just getting a vibe check. it understands my intent really well and never messed anything up. i do prefer to stay in the loop with it more than claude though. SpaceXAI really cooked! - not sure what it was, but i was able to stay in flow state with grok build for hours and hours. my memory and retention helped me get a lot done - exhausted 4th claude max 20x plan in 48 hours - training dspark drafters on my traces (kept gpu warm the whole time) - did grok 4.5 high sweeps and was quite impressed at how far the model has come. its around gpt 5.5 level (official post coming) - some very important meetings - contract work - optimizing amd kernels for glm 5.2 fp8 (mostly custom all-reduce whilst avoid deadlocks) for the tiny corp - one shotted and ran all frontier models on a new benchmark which ill be revealing shortly. its the toughest benchmark ive ever made. fable doesnt even come close to beating it - had grok 4.5 take over my minecraft C/CUDA implementation. felt like whack a mole but maybe i just wasnt using it right

Elliot Arledge

13,619 views • 17 days ago

meta just dropped a bomb. Muse Spark 1.1 is 86% cheaper than GPT-5.6 Sol and 91% cheaper than Fable 5 on output tokens ($4.25 vs $30 vs $50 per M) I thought the model was going to be horrendous, but it ended up being insanely fast, and very capable. front end design is VERY strong. Agentic capabilities seem great as it was able to spawn and even orchestrate other agents inside my app cnvs using the mcp and cli tool with zero instruction. we have soo many insanely good models right now.

meta just dropped a bomb. Muse Spark 1.1 is 86% cheaper than GPT-5.6 Sol and 91% cheaper than Fable 5 on output tokens ($4.25 vs $30 vs $50 per M) I thought the model was going to be horrendous, but it ended up being insanely fast, and very capable. front end design is VERY strong. Agentic capabilities seem great as it was able to spawn and even orchestrate other agents inside my app cnvs using the mcp and cli tool with zero instruction. we have soo many insanely good models right now.

Max Blade

87,211 views • 16 days ago

Just built this space battle game with Grok 4.5 in Grok Build, and it absolutely nailed it I literally gave it a simple two-line prompt, asked it to research the idea and build the game, and it did the rest A few back-and-forth tweaks, and took a free low-poly spaceship model, and Grok handled the integration surprisingly well....even the sound effects Now I can’t stop playing it. It’s actually super fun. Grok just got even more addictive…

Just built this space battle game with Grok 4.5 in Grok Build, and it absolutely nailed it I literally gave it a simple two-line prompt, asked it to research the idea and build the game, and it did the rest A few back-and-forth tweaks, and took a free low-poly spaceship model, and Grok handled the integration surprisingly well....even the sound effects Now I can’t stop playing it. It’s actually super fun. Grok just got even more addictive…

X Freeze

100,118 views • 16 days ago

“The reasoning capabilities of Grok are incredible. Grok 4.5 is smarter than almost all graduate students in all disciplines simultaneously. It’s actually just important to appreciate that that’s really something. There are some people out there who think AI can’t reason, and look it can reason at superhuman levels. So yeah, and frankly, it only gets better from here.” — Elon Musk

“The reasoning capabilities of Grok are incredible. Grok 4.5 is smarter than almost all graduate students in all disciplines simultaneously. It’s actually just important to appreciate that that’s really something. There are some people out there who think AI can’t reason, and look it can reason at superhuman levels. So yeah, and frankly, it only gets better from here.” — Elon Musk

Hosna ⚖️ בניטה

26,247 views • 16 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.

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 • 16 days ago

Evan Spiegel talks Snap Spectales vs. Meta Raybans. Feels a vertically-integrated approach targeting higher end (eg. Tesla with Roadster, Apple with iPhone) is the move for smart glasses. Also, says brand association is risky for Luxxotica: “I think it’s much more harmful for Luxottica than it is for Meta. I think Meta needed to partner with Luxottica because the Meta brand…is not something that people want to put anywhere near their face. So, I think that Meta really needed [them]. I think what’s challenging for Luxottica is they took the most iconic, crazy high-margin product and they destroyed the margin and then they associated it with Meta. So I think we’ll see if that pans out over a longer period of time, if that was the right brand choice for them. But I can definitely see why Meta needed to camouflage their brand, which I think a lot of people don’t resonate with and don’t like, with the Ray-Ban brand. But I think people are misreading the dynamic of what’s happening when you have Meta Ray-Bans on the shelf next to a regular pair of Ray-Bans and they’re both about the same price.” *** Full interview with David Senra here:

Bearly AI

320,493 views • 3 months ago

Grok 4.5 is ~1/10th the cost of Fable and 10–15x faster. You'd think that saves you money. It doesn't and that's the best part. An 8-hour job now takes 1 hour. So I don't go home early. I pack 8x the work into the same day. I pay for every lab. Codex, Claude, Perplexity, Grok. This is the one that made me unstoppable. $300/mo plan, 24% left, bought it the day it dropped And it's the best money I spend.

Grok 4.5 is ~1/10th the cost of Fable and 10–15x faster. You'd think that saves you money. It doesn't and that's the best part. An 8-hour job now takes 1 hour. So I don't go home early. I pack 8x the work into the same day. I pay for every lab. Codex, Claude, Perplexity, Grok. This is the one that made me unstoppable. $300/mo plan, 24% left, bought it the day it dropped And it's the best money I spend.

The Startup Ideas Podcast (SIP) 🧃

73,696 views • 16 days ago

🚨 Announcing Smart Model Router - Create Your Own Custom Router To Route To Your Favorite LLM - Route to GPT Sol, Muse Spark, Grok 4.5 and Fable - Optimize for cost or performance - Use Fable only for hard coding Once you create a router, you can use it on our Chat, Agent or in an API! Coming on Monday - Support for all CLI clients including Code, Claude Code and others

🚨 Announcing Smart Model Router - Create Your Own Custom Router To Route To Your Favorite LLM - Route to GPT Sol, Muse Spark, Grok 4.5 and Fable - Optimize for cost or performance - Use Fable only for hard coding Once you create a router, you can use it on our Chat, Agent or in an API! Coming on Monday - Support for all CLI clients including Code, Claude Code and others

Bindu Reddy

2,571,559 views • 16 days ago

Just made my first video with Grok Imagine 1.5, and wow, I'm really impressed. I'm an engineer, this isn't something I've ever done before. But I came up with a basic story, put together a handful of clips, and well, I know it's far from perfect, but heck, still pretty darn cool. I call it - Grok Build to the Rescue!

Just made my first video with Grok Imagine 1.5, and wow, I'm really impressed. I'm an engineer, this isn't something I've ever done before. But I came up with a basic story, put together a handful of clips, and well, I know it's far from perfect, but heck, still pretty darn cool. I call it - Grok Build to the Rescue!

Morgan

9,513,271 views • 1 month ago

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Grok 4.5 is first xAI model that win my heart 🫡 this is better then glm 5.2 and on par with current opus and gpt They cooked with the frontend too , like see this quality it made a website to showcase its benchmark and i asked it for water effects on background Elon Musk great job

Chetaslua

49,068 views • 17 days ago

Seedance vs Kling vs Grok. What do you think? Incredible results! I tried Grok's new elements and they're excellent. 🔥 Conclusions and suggestions: Kling has cinematic quality and perfectly respects the aesthetic of the elements and environments I provided. I used the pro version of Seedance and it doesn't display the waterfalls; it modifies the reference images. I feel like it's limited. Grok has done a great job representing the very heavy, giant bull, and its movements are very good. It also respects the aesthetic quite well. Created from Higgsfield prompt in comment:

Seedance vs Kling vs Grok. What do you think? Incredible results! I tried Grok's new elements and they're excellent. 🔥 Conclusions and suggestions: Kling has cinematic quality and perfectly respects the aesthetic of the elements and environments I provided. I used the pro version of Seedance and it doesn't display the waterfalls; it modifies the reference images. I feel like it's limited. Grok has done a great job representing the very heavy, giant bull, and its movements are very good. It also respects the aesthetic quite well. Created from Higgsfield prompt in comment:

hedoήist

32,714 views • 4 months ago