What is Muse Spark 1.2?

Muse Spark 1.2 is a coding-focused AI model from Meta designed to support advanced software engineering tasks through Muse Code and the Meta Model API. The model builds on Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan repository changes, write code, validate outputs, and work across large codebases. Muse Code uses persistent async background agents that stay active throughout a session to reduce redundant information gathering and support difficult multi-step work. The runtime uses a local event log where model calls, tool runs, approvals, and edits are appended, making sessions replay-exact and restart-safe. Muse Spark 1.2 was co-trained with Muse Code so the model can take advantage of its toolset, harness workflows, goals, compaction, and subagent architecture. Meta significantly scaled training compute on coding tasks and expanded training environment diversity to improve the model’s engineering capabilities. The model was also trained on long-horizon coding tasks, including whole-repository generation, large end-to-end projects, auto-research, and extended iterative work. Its training approach uses planning, goal conditioning, context compaction, rejection-sampled harness trajectories, and self-improvement data generated with Muse Spark 1.1. Meta also tested Muse Spark 1.2 on long-running GPU kernel optimization workflows where the model wrote, compiled, profiled, and improved Triton kernels over many tool calls. By combining coding-focused training, agentic runtime integration, persistent subagents, long-horizon reasoning, replay-safe execution, and API availability, Muse Spark 1.2 helps developers and AI agents complete complex software engineering work with less intervention.

Pricing

Price Starts At:
$1.25 per 1M tokens (input)
Price Overview:
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial Offered?:
Yes

Integrations

Offers API?:
Yes, Muse Spark 1.2 provides an API
All Muse Spark 1.2 Integrations
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Screenshots and Video

Muse Spark 1.2 Screenshot 1
Muse Spark 1.2 Screenshot 1 Muse Spark 1.2 Screenshot 2 Muse Spark 1.2 Screenshot 3

Company Facts

Company Name:
Meta
Date Founded:
2004
Company Location:
United States
Company Website:
meta.ai

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Muse Spark 1.2 Categories and Features

Multimodal Models

Large Language Models

Foundation Models

AI Reasoning Models

AI Models

AI Coding Models

Muse Spark 1.2 Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: Developer
    Has used product for: Less than 6 months
    Uses the product: Daily
    Org Size (# of Employees): 500 - 999
    Feature Set
    Layout
    Ease Of Use
    Cost
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Muse Spark 1.2 review - Meta continues to improve

    Date: Aug 05 2026
    Summary

    Five stars for potential. Muse Spark 1.2 feels like Meta is getting much more serious about developers, coding agents, and real engineering workflows.

    I would still treat it as something to test carefully, not an automatic replacement for established coding tools. But if Muse Code matures and the model performs well on real-world projects, Muse Spark 1.2 could become one of the more interesting coding-focused models to build with.

    Positive

    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.

    Negative

    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.

    Read More...
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