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About

Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.

About

Thousands of smart newsletter creators use SparkLoop to get more, high-quality email subscribers on autopilot. You should too. With SparkLoop it's easy to reward your subscribers for sharing your newsletter with their friends. So you grow faster, improve subscriber engagement, and spend less money and time on growth. Unlike other referral tools, SparkLoop was built for newsletters. So you can set up your powerful referral program, exactly like Morning Brew, in just a few clicks. No developers, code or Zapier hacks needed! Give all your subscribers a unique referral link, right inside your newsletter. Incentivize your subscribers to share their referral link with rewards and giveaways. Watch your audience grow your email-list for you, from your SparkLoop dashboard. The biggest and best newsletters on the web trust SparkLoop to help them grow. With advanced fraud prevention, full white-label and enterprise-grade security, we're the only solution you can trust.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, software engineers, coding agent builders, research teams, platform teams, DevOps teams, ML engineers, enterprise development teams, and organizations that need code generation, debugging, codebase understanding, long-horizon coding, terminal agents, subagent coordination, repository automation, kernel optimization, and end-to-end developer workflow support

Audience

Newsletter creators seeking a referral tool solution to get more high-quality email subscribers on autopilot

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Version
Free Trial

Pricing

$99 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Muse Spark 1.2 looks like a big step up for developers because it is clearly aimed at real software engineering work, not just casual code suggestions. The fact that it powers Muse Code makes it feel more practical right away, especially for terminal-based workflows where the model can help write code, validate changes, and work through bigger tasks. I like that Meta seems to be pushing hard into agentic coding. Earlier Muse Spark versions were already positioned around multimodal reasoning, tool use, and visual coding, and 1.2 feels like the more developer-focused evolution of that direction. The cost angle is interesting too. Reports mention Muse Code having multiple pricing tiers, including a cheaper option, which could matter a lot for developers running coding agents frequently instead of only using AI once in a while.

Cons

  • It is still new and tied to a beta coding agent, so I would not trust it blindly yet. I would want to test it on real repos, messy bugs, failing tests, multi-file edits, and longer agent runs before making it part of my daily stack. Meta also still has to prove the developer experience. A strong model is one thing, but coding agents live or die on tooling, speed, reliability, permissions, logs, diffs, and how well they recover when something breaks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

SparkLoop
Founded: 2020
United Kingdom
sparkloop.app/

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Categories

Categories

Integrations

.NET
Bash
C
Claude Agent SDK
Claude Code
Ghost
Gray Swan
Hype
Java
JavaScript
Kotlin
Meta AI
Muse Code
Muse Image
Muse Spark
Muse Video
Odysseus
OpenCode
WhatsApp
XML

Integrations

.NET
Bash
C
Claude Agent SDK
Claude Code
Ghost
Gray Swan
Hype
Java
JavaScript
Kotlin
Meta AI
Muse Code
Muse Image
Muse Spark
Muse Video
Odysseus
OpenCode
WhatsApp
XML
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Claim Muse Spark 1.2 and update features and information
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