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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

ZCode serves as an Agentic Development Environment that integrates GLM-5.2 into seamless coding workflows, effectively merging advanced AI agents with existing tools to allow developers to plan, code, review, and deploy with minimal interruptions. Tailored for extensive context and long-term coding endeavors, it aids users in transitioning from understanding requirements to implementation, verification, and review within a unified and stable desktop environment. The ZCode Agent functions as the default self-developed agent framework, offering deep integration with various aspects such as tasks, models, permissions, file references, execution modes, Git branch states, and commit processes, positioning it as an ideal solution for daily development tasks, breaking down projects, multi-file editing, debugging, testing, project previews, and ongoing project activities. Built upon the robust capabilities of GLM-5.2, ZCode ensures that goals, files, terminal outcomes, browser contexts, execution modes, and Git states are maintained cohesively within the same task, allowing for complex work to progress without losing momentum. This holistic approach not only enhances productivity but also fosters a more efficient coding experience, enabling developers to focus on creativity and innovation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bash Yes 
C Yes 
Codex CLI Yes 
Dart Yes 
Facebook Yes 
Go Yes 
Gray Swan Yes 
Instagram Yes 
Kubernetes Yes 
LangChain Yes 
LlamaIndex Yes 
Lua Yes 
Model Context Protocol (MCP) Yes 
Muse Image Yes 
Odysseus Yes 
OpenAI Agents SDK Yes 
SQL Yes 
Scala Yes 
Solidity Yes 
XML Yes 

Integrations

Bash No 
C No 
Codex CLI No 
Dart No 
Facebook No 
Go No 
Gray Swan No 
Instagram No 
Kubernetes No 
LangChain No 
LlamaIndex No 
Lua No 
Model Context Protocol (MCP) No 
Muse Image No 
Odysseus No 
OpenAI Agents SDK No 
SQL No 
Scala No 
Solidity No 
XML 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

$16.20 per month
Free Trial No 
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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) No 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

Z.ai

Founded

2019

Country

China

Website

zcode.z.ai/

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