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

About Muse Spark 1.2

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.

Pricing

Starting Price:
$1.25 per 1M tokens (input)
Pricing Details:
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial:
Free Trial available.

Integrations

API:
Yes, Muse Spark 1.2 offers API access

Ratings/Reviews - 1 User Review

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

Company Information

Meta
Founded: 2004
United States
meta.ai

Videos and Screen Captures

Muse Spark 1.2 Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Muse Spark 1.2 Frequently Asked Questions

Q: What kinds of users and organization types does Muse Spark 1.2 work with?
Q: What languages does Muse Spark 1.2 support in their product?
Q: What kind of support options does Muse Spark 1.2 offer?
Q: What other applications or services does Muse Spark 1.2 integrate with?
Q: Does Muse Spark 1.2 have an API?
Q: What type of training does Muse Spark 1.2 provide?
Q: Does Muse Spark 1.2 offer a free trial?
Q: How much does Muse Spark 1.2 cost?

Muse Spark 1.2 Product Features

Muse Spark 1.2 Verified User Reviews

Write a Review
  • A Muse Spark 1.2 User
    Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 500 - 999
    Design
    Ease
    Features
    Pricing
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Muse Spark 1.2 review - Meta continues to improve"

    Posted 2026-08-05

    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.

    Overall: 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.

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