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Description

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

Description

Thousands of innovative newsletter creators rely on SparkLoop to automatically attract more high-quality email subscribers. You should consider it as well. SparkLoop simplifies the process of incentivizing your subscribers to share your newsletter with their friends, allowing you to expand your audience, enhance subscriber engagement, and reduce the time and money spent on growth. Unlike other referral systems, SparkLoop is specifically designed for newsletters, enabling you to establish a robust referral program similar to Morning Brew's in just a few clicks, without the need for developers, coding, or complicated integrations. Each subscriber receives a personalized referral link directly in your newsletter, encouraging them to share it for rewards and prizes. You can observe your email list expanding effortlessly from the SparkLoop dashboard, as your audience works to grow it for you. The largest and most successful newsletters on the internet trust SparkLoop for their growth needs, thanks to its advanced fraud prevention, comprehensive white-label options, and enterprise-level security features, ensuring that it remains the only trustworthy solution available. By utilizing SparkLoop, you can unlock the full potential of your newsletter.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
ActiveCampaign No 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Claude Code Yes 
Codex CLI Yes 
Dart Yes 
Facebook Yes 
Facebook Messenger Yes 
Kit No 
Mailchimp No 
Model Context Protocol (MCP) Yes 
Muse Image Yes 
Muse Video Yes 
OpenAI Agents SDK Yes 
Scala Yes 
Solidity Yes 
TypeScript Yes 

Integrations

.NET No 
ActiveCampaign Yes 
C No 
C# No 
C++ No 
CSS No 
Claude Code No 
Codex CLI No 
Dart No 
Facebook No 
Facebook Messenger No 
Kit Yes 
Mailchimp Yes 
Model Context Protocol (MCP) No 
Muse Image No 
Muse Video No 
OpenAI Agents SDK No 
Scala No 
Solidity No 
TypeScript No 

Pricing Details

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial Yes 
Free Version No 

Pricing Details

$99 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

SparkLoop

Founded

2020

Country

United Kingdom

Website

sparkloop.app/

Product Features

Referral

Affiliate Marketing No 
Campaign Management No 
Contact Management No 
Employee Referral Management No 
Feedback Management No 
Lead Engagement No 
Loyalty Program No 
Referral Tracking No 
Rewards Management No 

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