Entries matching “spark-1.3”

Bijan Bowen runs Muse Spark 1.3 through a browser OS, C++ skate game, subway FPS, 3D CAD Hot Wheels, a Blender/Godot wrestling game and more, then tallies the total cost.

@dilmerv

@dilmerv

Dilmer Valecillos converted a minigolf prototype to VR for Meta Quest 3 using Muse Code with the Muse Spark 1.2 Contributor model, the Unity CLI and the MetaVR CLI, and published the plans and prompts.

Cursor

@cursor_ai

Muse Spark 1.3 from Meta is now available in Cursor!

Design Arena

@DesignArena

BREAKING: Muse Spark 1.3 (xhigh) takes 1st overall on Website Arena with an Elo of 1362! This is a jump of 5 positions from Muse Spark 1.2, establishing a new Pareto frontier for Speed and Price. Only a month after the release of Muse Spark 1.2, @AIatMeta has topped this

Shashank Jain

@smjain

Very good model actually..Created these two animations with it..and fast too

AICodeKing tests Muse Spark 1.3 and Gemini 3.8 Flash on frontend, 3D, SVG, maths and agentic coding, and flags file-overwriting issues.

Fahd Mirza puts Muse Spark 1.3 through agentic and coding tasks on launch day.

Alexandr Wang

@alexandr_wang

1/ we just publicly released Muse Spark 1.3 max! we see significantly stronger coding and agentic performance on muse spark 1.3 max, so would strongly recommend trying it out even if you've already tried muse spark 1.3 high or muse spark 1.3 xhigh.

@cccrust

@cccrust

A computer system including an OS, compiler and CPU written in Rust and Verilog, designed with Meta's Muse Spark 1.3.

WEBdoze pairs Muse Spark 1.3 and Gemini 3.8 Flash with the Impeccable design skill and browser testing to turn plain AI-generated pages into polished frontends.

Artificial Analysis

@ArtificialAnlys

Meta has released Muse Spark 1.3, their fourth Muse Spark model release in five months. Muse Spark 1.3 (max), which is in limited preview for Meta’s partners, scores 62 on the Artificial Analysis Intelligence Index, behind only Claude Fable 5.1 and Claude Opus 5. The variant

WEBdoze has Gemini 3.8 Flash and Muse Spark 1.3 each build a multi-page Astro site with custom SVGs, comparing code organization, speed, visuals and browser self-verification.

Arena.ai

@arena

Muse Spark 1.3 (xHigh) just landed @AIatMeta back in the top 10 models for Code Arena: WebDev! This release is ~#10 in Code Arena: WebDev with 1623 pts (AutoEval). It’s performance is par with Claude Fable 5 at #8 (1628 pts) and GPT-5.6 Sol at #11 (1616 pts). Muse Spark 1.3

Pattern Preacher

@chanakyaspeakss

I had one shotted this with explicit instructions to create this game with all the Asset specifications on @opencode and it generated in 30-40 Seconds. Couple more iterations and inputs will give us a production ready game. Great Job Team Meta #ReverseSonic

PIMX_ELTEX runs Muse Spark 1.3 in OpenCode on six prompts, from 3D games and an open-world mini GTA to car simulators and web apps, at about 3 minutes per project.

AI Coding Daily runs Meta's new Muse Spark 1.3 through a set of coding experiments to see whether it belongs among frontier coding models.

@MiaAI-Lab

@MiaAI-Lab

A gallery of 100 self-contained generative-art, physics-toy and typography pages generated with Muse Spark 1.3, each shown next to its original prompt.

@z0zero

@z0zero

A looping browser 3D rocket launch made with Muse Spark 1.3 in Vite, React and plain Three.js. Ignition, liftoff and ascent run about 22 seconds, with all geometry and smoke procedurally generated and no external assets.

Tested Muse Spark 1.3 on a ~10k LOC codebase and found it sometimes beat Gemini 3.8 Flash on hard multi-part backend bugs, though Gemini produced better-looking frontends.

DHH

@dhh

We're going to have to work much, MUCH harder to spend all those wonderful @AIatMeta tokens! Muse Spark 1.3 Contributor is unbelievably frugal. I've been chugging tokens at translations to get to 50 languages. Barely made a dent. Thanks again @alexandr_wang and team 🙏

Meta for Developers

@MetaforDevs

Muse Spark 1.3 is now available in Muse Code and Meta Model API. It’s tuned for the agentic builds developers actually ship, including long-running, multi-agent workflows. 🧵👇(1/4) h

STARTUP HAKK tests Muse Spark 1.3 and argues the harness, tools and context around a model matter as much as the model, pitching their OpenMonoAgent harness.

Morgan

@morganlinton

Okay, finally finished my Muse Spark 1.3 benchmark. This ended up being the longest-running benchmark I've ever done at @VulcanBench and it definitely looks like Muse has some serious issues at lower effort levels. I was able to run Astra through my v4 eval suite across every

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AI John walks through installing OpenCode, creating an API key and connecting Muse Spark 1.3 on the Contributor Free tier, noting prompts may be used for training.

IchBinFabian installs Muse Code, compares Muse Spark 1.3 pricing with Claude Code and Codex, reviews the benchmarks and builds two real projects in OpenCode for a combined 82 cents.

Povilas Korop scores Muse Spark 1.3 on six real coding projects (Laravel, React-TS, PHP, Flutter, Go): Max effort ranks #26 with 48.43/60 at about $0.01 per prompt and 3:42 per prompt.

thehype.

@thehypedotnews

gpt-6 sol vs grok 4.7 vs gpt-6 astra vs muse spark 1.3 – three star wars worlds each, one html file per world the setup: one prompt, one reply, no agent loop. our own harness on @OpenRouter, headless chrome as the only judge – it loads the file, presses 1 / 2 / 3 / 4 and hands

Dan

@DanDr1s

Meta’s Muse Spark 1.3 just scored 62 on Artificial Analysis’ Intelligence Index. That ties Claude Fable 5, but Muse costs 8x less for input and nearly 12x less for output. It also scores above GPT-5.6 Sol, Grok 4.6, Kimi K3, and Gemini 3.8 Flash. Meta is suddenly in the top

AICodeKing tests Meta's Muse Spark 1.2 and the Muse Code terminal agent on the free tier, covering pricing and features before running KingBench 3.

Siamese Cat Dev pits Muse Spark 1.3 against Claude Fable 5.1 on a browser OS, a Call of Duty-style shooter, a neon arena shooter and a Mario Kart-style racer.

Federico Ramirez uses Muse Code and Spark 1.3 for GitHub issue-to-PR workflows. He finds output readable and $15/month good for 2-4 hours of continuous coding, but skill execution inconsistent and the sandbox too restrictive.

Zi Lin

@suzzzylin

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 ↓ research.meta.ai/artifacts/intr…

Rohan Paul

@rohanpaul_ai

Meta's open-sourced Muse Glimmer 30B vs Muse Spark 1.2 Glimmer delivered 5 runnable games at roughly one-fifth Muse Spark's cost. Very Interesting experiment by @aimlapi . the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com.

Vals AI

@ValsAI

Muse Spark 1.2 just cracked the top 5 on the Vals Index, at just $0.69 per test. This is 3x cheaper than Kimi and 10x or more cheaper than Fable, Opus, and 5.6 Sol.

@dominicletz

@dominicletz

A self-contained visual report comparing CursorBench 4.0 score against cost per task for Opus 5.5, Fable 5.1, Grok 4.7 and Muse Spark 1.3, where Muse Spark 1.3 Max scores 41.6% at $2.64 per task. GPT-6 points are clearly marked as estimates.

Sree

@srikanthvaluri

Muse-Spark 1.3 VS Opus 5 (Medium) Both fully interactive with procedural materials and real-time 3D. Same engine. Completely different character.

mihawkxxx

@mihawkxxxxx

Incredible Minecraft from muse spark 1.3 cost 10 cents

This week we spent about $95 trying to beat our own lineup of reviewing models. One of the candidates was Muse Spark 1.2, and it turned out to be the most interesting model in the whole test. The good, measured: • Among the best we tested at finding real problems. Scored against bugs we already knew were there, it matched our existing lineup, and it caught one real bug our lineup had missed. • Fastest model in our table. Typical answer in 18 seconds, writing at over 220 tokens a second. The speed table from our test (same job, same codebases, 33 runs per model): Model Typical time Answer length (tokens) Writing speed (tok/s) Time follows answer length Time follows question length Muse Spark 1.2 18 s 4,205 222 0.79 barely (0.08) Gemini 3.1 Pro 19 s 2,621 133 0.99 no (0.0) Gemini 3.8 Flash 22 s 1,996 89 0.91 some (0.65) GPT 5.4 29 s 3,058 105 0.95 no (below 0) Grok 4.6 38 s 2,498 61 0.61 no (below 0) Grok 4.7 44 s * 3,176 75 0.98 a little (0.30) Claude Sonnet 5 50 s * 4,471 91 0.59 barely (0.07) * Runs that finished in time only, so the real typical time is higher. The last two columns are correlations: 1 means time rises in step with that length, 0 means no lin

Sree

@srikanthvaluri

A realistic 3D model of a BMW S1000RR superbike in Three.js Fable 5.1 VS Muse Spark 1.3

Derya Unutmaz, MD

@DeryaTR_

I wanted to try something quick with Muse Spark 1.3, so I had it build this pirate platformer. It was incredibly fast and worked flawlessly at one-shot! Now I’m enhancing the artwork, sprites and adding new levels 😊This is such a fun coding model, it just works, fast and cheap!

DataCamp's Josep Ferrer ran Muse Spark 1.3 on three real coding tasks. Two used 23–32% fewer completion tokens, but a refactor used 70% more, for a net 12% cost increase.

Tom Collins

@thetomcollins

$META just went from 3.5% to 45.4% token share on OpenCode in just over two weeks Muse Spark 1.3 being good + free is enough to become the default for most users Default gets you usage → usage gets you data → data makes the next model better Anthropic and OpenAI can’t afford

@ferrreo

@ferrreo

Custom firmware and a Go server that turn an M5Stack StackChan into Tarquin, a voice-driven robot butler with wake word, face tracking and on-device speech, using Muse Spark 1.3 via the Meta Model API as its brain.

OpenRouter

@OpenRouter

Muse Spark 1.3 Contributor is also live, and is the cost-efficient tier. Use it now: openrouter.ai/meta/muse-spar…

Artificial Analysis' independent benchmark write-up of Muse Spark 1.3.

Louis-François Bouchard 🎥🤖

@Whats_AI

We just measured Meta Muse Spark 1.3 on our internal writing benchmark hoping for new SOTA. Unfortunately, it isn't... It enters at #24 of the 87 models we track, up from #31 for Muse Spark 1.1. As @alexandr_wang highlighted, it beats every Gemini configuration we have,

Ahmad Awais

@MrAhmadAwais

Solid model. Shipped live in @CommandCodeAI 🐐

OpenRouter

@OpenRouter

Muse Spark 1.3 is now available on OpenRouter! Built for long-running agentic, multi-agent, and coding workflows. It tracks what it learns, handles conflicting inputs, and asks for clarification or confirmation when needed. Use it now: openrouter.ai/meta/muse-spar…

Cline

@cline

Meta’s Muse Spark 1.3 Contributor model is now available for free in Cline. Benchmarks show it’s similar in performance to Opus 5, but considerably more affordable.

Softreviewed shows how to get at Muse Spark 1.3 for autonomous, terminal-based coding without paying for a coding subscription.

Box added Muse Spark 1.3 to Box AI, reporting it runs 42% faster than Muse Spark 1.2 with roughly a third fewer tokens, and lifts financial services accuracy from 66% to 75% on Box's eval.

pilvar (Philippe Dourassov)

@pilvar222

We ran Muse Spark 1.3 on our Cybersecurity benchmark, and it's actually not that good (yet) 😬 - At pass@1, it rediscovers an average of 19/32 CVEs. In comparison, Grok 4.6 scores 23.3/32 - When pooling the results of 3 runs (pass@3), Muse scores 24/32. DeepSeek V4 Pro gets

Meta for Developers

@MetaforDevs

Muse Spark 1.3 with max reasoning is now available on Muse Code and Meta Model API. Developers can build with frontier performance without the frontier prices. We thought showing would be better than telling, and encouraged our friends in Meta Superintelligence Labs to come up

AI Coding Daily re-runs its Muse Spark 1.3 tests using the max reasoning level inside Muse Code.

Arena.ai

@arena

Muse Spark 1.3 Max by @AIatMeta has reshaped the Pareto frontier for Code Arena: WebDev! Meta's latest model at Max reasoning is doing something interesting on the Arena Pareto frontier: it's the only model holding down the wide price band between Qwen3.8-max ($5/MToken) and

RepoChad examines Muse Spark 1.3's 1,048,576-token context, DeepSWE and TerminalBench results, and the Max vs x-high reasoning modes.

@nuocmam

@nuocmam

A same-prompt bakeoff site that starts with a playable penguin Tetris generated by Muse Spark 1.3 in OpenCode, with a fixed prompt for comparing other models.

Mark Zuckerberg

@finkd

Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.

AI/ML API

@aimlapi

Muse Spark 1.3 vs 1.2: sculpt viking figurines @AIatMeta dropped Muse Spark 1.3 today — we ran it against Muse Spark 1.2 both models got the same brief: three collectible 3D figurines — a viking helmet, a diamond-studded axe, a longship with a crew — one self-contained HTML

Kartik

@1kartikkabadi1

Muse Spark 1.3 is an amazing DJ

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WTF Code uses Muse Spark 1.3 Contributor Free through OpenCode to build an interactive project from scratch, testing UI, animation, debugging and multi-step development.

@raksix

@raksix

A documented setup that runs Muse Spark 1.3 Contributor inside Claude Desktop on macOS through a small Node proxy that translates Anthropic requests to OpenCode Go's OpenAI-style API.

Artificial Analysis

@ArtificialAnlys

Last week the Intelligence Index vs Cost Pareto frontier moved out substantially. Claude Fable 5.1, Muse Spark 1.3, and GPT-6 Astra each set a new point in efficient intelligence Link to analysis: artificialanalysis.ai/#intelligence-…

Matt Johnston runs Muse Spark 1.3 blind through his benchmark: a Halo build looked frontier, but XCOM, Diablo and the multi-turn agentic test broke.

Vercel added Muse Spark 1.3 (meta/muse-spark-1.3) to AI Gateway on launch day, with 1M-token context, text/image/PDF input, and both standard and contributor pricing tiers.

Kartik

@1kartikkabadi1

I swear Muse Spark 1.3 is a really good model. Like I don't know if it's just my setup or something. But it just constantly surprises me. So in Synara there's a thread/agents tool where it can create new threads and communicate and manage agents. And literally always, like

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✨ Three New Models, Sharper Lore Awareness & Smoother Storytelling Across Complex Worlds This update introduces three new storytelling models, improves how Lore is recognized and prioritized during a story, and brings another round of reliability improvements to the model experience. 🎭 Three New Voices 💎 Gemini 3.8 Flash — Pro+ Google’s newest fast storyteller, with polished prose, responsive pacing, and a steady grip on complex scenes. Context support: 🔹 16K on Pro 🔹 48K on Ultra 🔹 80K on Legendary Context limits subject to change. ✨ Muse Spark 1.3 — Plus+ Vivid character interplay, strong world-state awareness, and deliberate continuity as stories evolve. Context support: 🔹 16K on Plus 🔹 32K on Pro 🔹 64K on Ultra 🔹 100K on Legendary 🌐 Hunyuan 4 Preview — Pro+ Built for ambitious living worlds, shifting relationships, and large casts with lasting consequences. Context support: 🔹 16K on Pro 🔹 32K on Ultra 🔹 48K on Legendary 📚 Sharper Lore Awareness Lore is getting better at recognizing what matters in the current scene. 🏷️ Smarter Lore activation — Lore cards can now activate when their title or character name appears naturally in the story, even

I wanted a quick calories counter for myself, using LLMs to evaluate the calories from pictures of meals + descriptions. I needed to pick a model so I made a quick benchmark. The setup was: - Nutrition5k photos for photo + calories: https://github.com/google-research-datasets/Nutrition5k - A tool with access to calories information from USDA FoodData Central + MEXT - I evaluated models based on how many of the meals they managed to have under 20% of error - All on the same randomly picked 25 meals. Models too big for my machine were run through OpenCode Go/OpenRouter. I've also included Spark 1.3 since it'll supposedly be open weights. Results Model % within 20% Mean bias Median Error Qwen 3.8 27b 16% +64 kcal 148 kcal GLM 5.3 Flash 28% +18 kcal 65 kcal Qwen 3.8 Max 32% -11 kcal 48 kcal Muse Glimmer 30b 32% +25 kcal 92 kcal Qwen 3.8 Flash 36% +2 kcal 91 kcal DeepSeek v4 Flash Vision 40% +52 kcal 65 kcal Muse Spark 1.3 48% -24 kcal 45kcal I know it's not the most scientific benchmark, but it's interesting to see that the order is not really linked to model size. The most interesting for me is how Muse Glimmer 30b trounces Qwen 3.8 27b here. I think it hig

Nadia Dubois walks through API key setup, auth, tool-calling config and cost control for Muse Spark 1.3 at $1.25/M input and $4.25/M output tokens.

Paweł Huryn

@PawelHuryn

So, I finally tested Muse Spark 1.3. 2 real repos, 105 planted bugs, find and fix what you can. Original harness and API. Big surprise: Muse Spark 1.3 (max): 33 Fable 5.1 (high): 33 Grok 4.6 (xhigh): 27 Opus 5 (max): 27 Muse Spark 1.3 (high): 19 Meta joined the frontier.

Guys, I've been programming in Vibe, using Gemini 3.8 Flash in Antigravity, basically creating consciousness and intelligence, primarily using Jev, with Muse Spark 1.3 to do a Minecraft speedrun, but with creativity. And I have two instances: one is the director, the cinema, the cameraman, and the other is Andy, this character who has the life dice. And, guys, I'm surprised by the result, because they really seem to create a personality while playing. He experiences things. I had an episode where he died and became depressed, and I configured him to come back and pick up the items. And basically, with the physics and everything involving the game and Jev, this allows for practically human gameplay. And you'll be posting on my channel, the link is below, how this journey went. But I'm very happy with the AI's capabilities and Jev's revolutionary ability to make decisions. And the result was impressive. https://www.youtube.com/@supersuperinteligencia https://preview.redd.it/8qsmj95bxirh1.png?width=2560&format=png&auto=webp&s=332e69d6d5964cf8d30a866fb490376db405597a

After running out of quota on two Codex subscriptions, found it was almost trivially easy to run Muse Spark 1.3 in Codex Desktop; not as good as Astra, but cheap and it one-shots most of his prompts.

Arindam Majumder 𝕏

@Arindam_1729

I tested DeepSeek V4 Flash, Kimi K3, and Muse Spark 1.3 on the same Flappy Bird prompt. @Meta Muse Spark 1.3 was my favorite. It built the most complete game with a polished UI, animated bird, layered parallax, pipes, scoring, persistent best score, and a proper game-over

This time I used muse spark 1.3 model. I gave them names from TMNT series. Four of the agents were on the same host, and fifth was on another. We can say that they failed at this task, but with a user guide, they were finally able to find each other. Here are the details.

thehype.

@thehypedotnews

gemini 3.8 flash vs muse spark 1.3 – three animated 3d animals each, in an agent loop the setup: our own agent loop on @openrouter, a browser as the tool set – write the file, patch it, render it, sign off. the harness loads the scene in headless chrome, presses 1 / 2 / 3 and

Box's Complex Work Eval finds Muse Spark 1.1 up to 5-6 points above the top-tier composite on structured work, and nearly 30 points ahead on cost-optimization analysis.

MindStudio notes Muse Spark 1.3 topped DeepSWE at 75.4 and placed third on Artificial Analysis, yet in a hands-on game-clone test produced "a cube shooting at other cubes."

@Joji228

@Joji228

A single-file Three.js superhero platformer designed, coded and play-tested by Muse Spark 1.3 at xhigh effort in one autonomous session, passing 25/25 automated browser checks.

Tornado guy

@fanofaliens

Muse Spark 1.3 Max is out and I already love how good it is at 3D stuff. We’re so back.

Connor Loi

@connortbot

You can now run Muse Code (and Muse Spark 1.3) in cloud agents on @tryreplicas! Bring your own Muse subscription - they're surprisingly generous and powerful.