Meta* Releases Muse Spark 1.1 — AI Model for Enterprise Development
Photo: TechCrunch
Quick answer
Meta releases AI model Muse Spark 1.1 to automate coding and enterprise tasks, competing with OpenAI and Anthropic.
Meta* has released an updated version of its multimodal AI model, Muse Spark 1.1, targeting automation of development processes and enterprise workloads. The solution is positioned as a competitor to similar products from OpenAI and Anthropic, though Meta* entered this market later.
The new model supports multi-step reasoning, complex process handling, and integration with external applications. Meta emphasizes that Spark 1.1 is optimized for bug fixes, large codebase migrations, and automating routine tasks, which are particularly in demand in the enterprise sector.
The cost of using the model is $1.25 per million input tokens and $4.25 per million output tokens, slightly higher than competitors, but Meta* focuses on performance and affordability. The release coincided with Mark Zuckerberg’s return to the X* platform, where he posted for the first time in three years, calling Spark "a powerful agent and coding model at a very low price."
This week, Meta* also introduced a new image-generation model, Muse Image, while competitors like OpenAI and SpaceXAI released updates to their AI solutions. This highlights the growing competition in the enterprise AI tools space, where companies are vying for customer attention.
* Facebook, Instagram, WhatsApp, and other Meta services are owned by Meta Platforms Inc., whose activities are recognized as extremist and banned in the Russian Federation.
Common questions
- How does Muse Spark 1.1 differ from competitors?
- Muse Spark 1.1 specializes in multi-step tasks, workflow automation, and enterprise system support. Meta positions it as a more cost-effective alternative to OpenAI and Anthropic models, with a focus on performance in agent-based scenarios.
- What tasks can Muse Spark 1.1 handle?
- The model can fix bugs, manage digital workflows, deploy new features in enterprise systems, and assist in large codebase migrations. It also supports task planning and orchestration across external applications.
- What is the cost of using Muse Spark 1.1?
- Pricing is set at $1.25 per million input tokens and $4.25 per million output tokens, comparable to competitors but with a slight premium.
Dzen feed: /feed/dzen.xml · RSS: /feed.xml