Meta rolls out Muse Spark 1.3 in Muse Code and Meta Model API, saying it improves performance across agentic and coding tasks, at the same pricing as Spark 1.2

Meta on Wednesday released Muse Spark 1.3, an update it says significantly improves performance in coding and agentic tasks.

Axios 2026-09-03 Ina Fried

Context & Ripple Effects

Meta has been extending Muse Spark from powering Meta AI shopping queries to a public developer API and, in August, Muse Code’s beta coding agent. The July 1.1 release had already positioned the line around more advanced coding work.

Version 1.3 puts the same model family into both Meta’s coding surface and API without raising the Spark 1.2 price, making performance-per-token the immediate point of competition rather than access alone.

First-order effects

Meta Model API customers and Muse Code users receive Meta’s claimed coding and agentic performance improvements without a change from Spark 1.2 pricing.
Meta strengthens the connection between its model endpoint and Muse Code, so improvements to the underlying Spark line can reach both API builders and terminal-agent users.

Second-order effects

Teams evaluating coding agents can reassess Meta’s API on cost-adjusted performance rather than treating a model upgrade as a new pricing tier.
Meta’s earlier API-preview strategy, begun with Spark 1.1’s public developer release, becomes more valuable as each Spark iteration is available through the same developer-facing channels.

Third-order effects

The release points toward agentic-model competition being fought through managed services and work surfaces—APIs plus coding agents—rather than model capability claims in isolation.
Meta’s stated plan to release Muse Spark open weights creates a potential split between a broadly available model artifact and Meta-controlled API and Muse Code experiences, if that plan is carried out.

The trend: AI model vendors are bundling faster model iteration with stable API pricing and integrated agent work surfaces to compete on agentic unit economics.

Discussion

@alexandr_wang Alexandr Wang on x
1/ today we're releasing muse spark 1.3—available in muse code & the meta model api. this is our most capable model yet—frontier performance almost too cheap to meter. much stronger at agentic and coding with better usability. we think users will really notice the jump.
@metafordevs @metafordevs on x
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) [video]
@synthwavedd Leo on x
Muse Spark 1.3 is here! Benchmarks look pretty good, with a SoTA score on DeepSWE v1.1 Proving to be a very busy week
@shengjia_zhao Shengjia Zhao on x
Today we're releasing Muse Spark 1.3, our strongest model for agentic and coding tasks in the spark model line. It's designed to support longer-horizon work, excel in agentic tasks, and follow complex instructions more reliably than previous models. Muse Spark 1.3 is available to…
@beffjezos @beffjezos on x
The AI Capex of Meta is starting to pay off bigtime
@justingorya Justin on x
META COOOOOOKED!!! Wow. Meta muse spark 1.3 was just released and it seems to be amazing?! used my 2 custom skills and got this in a oneshot. The whole Website was a simple prompt and oneshot. Muse spark 1.3 is creative and good at frontend. approved.
@dandr1s Dan on x
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 tier …
@llmjunky @llmjunky on x
META IS BACK BABY. 88 on TB 2.1 75 on DeepSWE! Wow.
@patricktoulme Patrick C Toulme on x
$META I predict will imminently shutoff Anthropic and OpenAI model access for employees. This may very well affect the Anthropic and OpenAI IPOs. Watermelon will be Fable class. This is 100% proof that Meta's experiment of having employees generate tens of thousands of RL envs…
@maria_rcks Maria on x
SOTA IN DEEPSWE???? Wtfffff
@thdxr Dax on x
muse spark is getting a lot of adoption recently, it's currently #2 for the week in OpenCode Go
@andrewcurran_ Andrew Curran on x
Muse Spark 1.3 is showing up live on the Meta API and in other places, my friend spotted it an hour ago. 1.3 appears to be rolling out now, the official announcement, and posts from Mark and Alexandr, are probably incoming.
@mehulmpt Mehul Mohan on x
Muse Spark 1.3 contributor pricing is just mind-blowingly unreal its literally deepseek pricing moment from a US AI lab
@eltokh7 Khaled on x
Very impressive as usual from @Meta and @alexandr_wang! Muse Spark 1.3 debuts as the 3rd top performing model in Stata Benchmark. It beats EVERY model except Claude Fable
@rihardjarc Rihard Jarc on x
Wow, $META full Scorched-Earth Strategy with this AI model pricing. Nobody wants to have Zuck as a competitor.
@deryatr_ Derya Unutmaz on x
This is just crazy! @metaai just released Muse Spark 1.3 that looks better than GPT-5.6 Sol max and near Opus 5 max for coding AND at less than a third of the price: $1.25 input / $4 output per million tokens! Meta finally caught up to frontier AI and became super competitive. 😲
@pratanchandani Prashant Ratanchandani on x
Muse Spark 1.3 is ready for you in the Meta Model API and in our coding harness. We've worked hard on this model and it is a huge leap forward on coding and agentic workloads, and remains at the frontier of intelligence at a very competitive price. The contributor version is up a…
@emostaque Emad on x
meta, the frontier ai lab?
@alexandr_wang Alexandr Wang on x
2/It's a step up on reasoning and coding. compared to Muse Spark 1.2, Muse Spark 1.3 wastes fewer turns, uses ~20% fewer tool calls, ~25% fewer tokens, and holds onto requirements well during long-horizon tasks.
@tobi Tobi Lutke on x
What a week for new ai models. Muse 1.3 looks very strong!
@cheatyyyy @cheatyyyy on x
Meta Muse Spark 1.3 benchmarks are out! It's SOTA Long Context and DeepSWE v1.1!!!
@deryatr_ Derya Unutmaz on x
My early testing results of @Meta Muse Spark 1.3 for coding are really good! I'll share some examples soon. I recommend trying it out. They also have a $5/month subscription with relatively generous prompting limits. I'm using the terminal CLI, it'd be good to have their own IDE.
@schrep Mike Schroepfer on x
This is really impressive progress
@arena @arena on x
Muse Spark 1.3 by @AIatMeta is now in the Arena! Bring your toughest prompts and start voting. Scores coming soon. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models can access web search, filesystem, and terminal tools to complete com…
@rihardjarc Rihard Jarc on x
$META Muse Spark 1.3 is 1st place ln DeepSWE with ahead of Fable 5 and GPT-5.6 Sol and this even Watermelon yet. $META trajectory is really good.
@da7_tech @da7_tech on x
This is insane. If real-world performance actually matches these benchmarks, we're talking about a complete game changer in AI.
@alexandr_wang Alexandr Wang on x
i really hate to say it, but... gemini who? 🏎️💨
@kimmonismus @kimmonismus on x
wtf Muse Spark 1.3 It has achieved first place in DeepSWE with 75.4%, even ahead of GPT-5.6 Sol and Fable 5. What's going on here?!
@sriramk Sriram Krishnan on x
great momentum from @finkd and @alexandr_wang. particularly excited by their upcoming open weights launch - we need more American open weight models at the frontier.
@yashvarpatel Yash Patel on x
Muse Spark 1.3 is now live! With solid improvements on coding and agentic work including computer use. Please give it a try and let us know what you think.
@lichangchen2 Lichang Chen on x
We've experimented some breakthrough training methods and turns out that it works. Try the model on Muse Code harness! We appreciate any feedback from you.
@matthewberman Matthew Berman on x
Ok I see you Meta
@alexandr_wang Alexandr Wang on x
check out our new muse spark 1.3 model!
@levie Aaron Levie on x
This week is absolutely nuts for AI releases, and now a major new model update from Muse. We appear to be reaching escape velocity in capability progress. If this thing gets released as open weights it completely changes the dynamic of US open weights competitiveness.
@shuchaobi @shuchaobi on x
We spent a lot more compute in grading to improve model behaviors such as laziness, instruction following, hedging, and other reward seeking and reward hacking behaviors. As a result the model's usability is vastly improved. Please give it a try and let us know what you think.
@xiangyue96 Xiang Yue on x
Muse Spark 1.3 is our most capable model yet, with major improvements to usability, including complex instruction following and reduced hallucinations in agentic tasks. 🍉 and open-weight Muse Spark are coming soon!
@ttunguz Tomasz Tunguz on x
Enormously important for US to have SoTA open models
@eliebakouch Elie on x
long context benchmark (MRCR) going crazy, very interesting would be great to have other benchmarks such as graphwalks for long context and release test time scaling curves and not just raw benchmark scores in general
@mweinbach Max Weinbach on x
It's kind of funny that the cost of a good quality output from AI has dropped like 5-10x this summer
@zephyr_z9 @zephyr_z9 on x
Meta has a very strong post training pipeline now
r/LocalLLaMA r on reddit
Muse Spark open weights coming soon
@mattdeitke Matt Deitke on x
The jump for Muse Spark 1.3 on AA Index is quite strong! Only behind recent Anthropic models at this point. Much stronger models coming soon! 🍉🥳
@xeophon Florian Brand on x
Gemini 3.8 held a spot at the pareto frontier for *checks notes* 3.5 hours
@udiwertheimer Udi Wertheimer on x
what is even the point of anthropic anymore
@zephyr_z9 @zephyr_z9 on x
Very impressive
@spac89 @spac89 on x
How the hell is Muse Spark 1.3 Max better than Fable 5? I genuinely don't think anyone saw this coming..
@kimmonismus @kimmonismus on x
It's worth really grasping this: in a very short time, the race between OpenAI and Anthropic has turned into a contest involving OpenAI, Anthropic, xAI, and Meta, and Google is back in the mix, too. They are all on (mostly) equal footing, with little difference between them even…
@quinnypig Corey Quinn on x
Meta casting shade at Google in AI is a playground slapfight outside a MMA championship.
@artificialanlys @artificialanlys on x
Muse Spark 1.3 (max) scores 52% on Tau3-Bench Banking, the new #1 performer on this evaluation. Muse Spark 1.3 (xhigh) scores 47%, level with Claude Fable 5.1 (max, 47%) and GLM-5.3-Flash (47%) and behind its sibling in addition to e.g. Qwen3.8 Max (51%), Grok 4.6 (high, 51%), an…
@chrisgpt Chris on x
We're starting to see the fruits of Metas massive spend. So happy to see FAIR get its footing.
@bnjmn_marie Benjamin Marie on x
Google was ahead only a few hours. And Meta will release the weights.
@artificialanlys @artificialanlys on x
Muse Spark 1.3 (xhigh) is the most cost-efficient model at its intelligence level: $0.55 per Intelligence Index task at Meta's unchanged $1.25/$4.25 per 1M token pricing. No model scoring 59 or above costs less per task. The nearest are Gemini 3.8 Flash (high, 59, $0.58), GPT-5…
@kimmonismus @kimmonismus on x
Today meta chose war with google. But hey, let them fight it out. That just means development will accelerate even further. By the way: I can't imagine OpenAI waiting long to reclaim the top spot in DeepSWE.
@angaisb_ Angel on x
Not Meta mogging Gemini 3.8 Flash the same day lmao [image]
@haider1 Haider on x
how tf Meta is moving this insanely fast needs to be studied they went from looking weirdly behind in the AI race to suddenly shipping at a pace that feels completely different
@artificialanlys @artificialanlys on x
The gains for Muse Spark 1.3 (xhigh) and Muse Spark 1.3 (max) over Muse Spark 1.2 on the Artificial Analysis Intelligence Index are concentrated in agentic evaluations: GDPval-AA v2 +94 and +139 Elo (1615 to 1709 and 1754), Terminal-Bench 2.1 +5 and +6 points (80% to 85% and 86%)…
@altryne Alex Volkov on x
Damn, gloves are off! Unreleased Meta Muse Spark with max reasoning is beating even Fable 5, while the xhigh that is available, matches Grok 4.6 and GPT 5.6 sol on @ArtificialAnlys This is quite the statement from @AIatMeta 🔥 Busy weeks ahead of us!
@hesamation @hesamation on x
Muse Spark 1.3 is now the top non-Anthropic model on Artificial Analysis Intelligence Index: > same score as Fable 5 > with 12x cheaper output tokens ($4.25/M vs $50/M) > just 1 point behind Opus 5, 4 points behind Fable 5.1 from YESTERDAY. I'm especially curious about cost per …
@nateberkopec Nate Berkopec on x
Muse Spark 1.3 xhigh is frontier for time/task AND cost/task. We have a new frontier human-in-the-loop coding model. Gemini 3.8-flash is slightly cheaper but also slower than 3.7, so no changes there.
@ashvinair Ashvin Nair on x
I recently joined the science of reasoning team at Meta! AI progress is moving faster than anyone can adjust to. I'm finding the goal of bringing personal superintelligence to everyone — AI that's positive and useful in people's lives worldwide — to be very motivating. Go try Mus…
@dryangsong Yang Song on x
Muse Spark 1.3 is here! The leap from 1.0 to 1.3 is nothing short of a miracle, and it took a lot of magic to make it happen. So proud of our team of magicians who sparked this incredible leap. And we are just getting started!
@alexandr_wang Alexandr Wang on x
for a single dime look at what muse spark can give you
@deryatr_ Derya Unutmaz on x
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!
@alexandr_wang Alexandr Wang on x
underrated result of muse spark 1.3 try it out with muse code: curl -fsSL https://dev.meta.ai/... | bash
@edwardsun0909 Zhiqing Sun on x
We posttrained avocado again and enabled better test-time scaling. It's significantly better than its predecessor in all capabilities!
@alexandr_wang Alexandr Wang on x
muse spark 1.3 + muse code evals competitively with Claude code + opus 5 and Claude code + fable 5
@aiatmeta @aiatmeta on x
We're excited to release Muse Spark 1.3 with improved performance on agentic and coding tasks, and a focus on real-world usability. Key capabilities: → Sustains longer-horizon work across multiple workflows in a single thread → More actively collaborates with users: it asks clari…
@openrouter @openrouter on x
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: https://openrouter.ai/...
@mihawkxxxxx @mihawkxxxxx on x
@DanDr1s Incredible Minecraft from muse spark 1.3 cost 10 cents
@bindureddy Bindu Reddy on x
Meta's Muse Spark 1.3 only look good on benchmarks In real life, It just a GPT 5.6 Terra class model The benchmarks are being gamed severely
Dilmer Valecillos Dilmer Valecillos on linkedin
Muse Spark 1.3 released today, so I immediately tried it in Muse Code with the Miniature Golf game I previously converted to VR using version 1.2! …
Sinong Wang Sinong Wang on linkedin
🚀🚀🚀 Please meet Muse Spark 1.3!!!—built for the way real work actually happens. — Real tasks rarely arrive as one clean prompt. …
Manjot singh Manjot singh on linkedin
Excited to have contributed to Muse Spark 1.3 at Meta, released today. — What's new: — • Better long-horizon agentic reasoning …
@finkd Mark Zuckerberg on x
Mark Zuckerberg says Meta's Watermelon model and Muse Spark open weights are “coming soon”

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