Meta Debuts Muse Spark 1.1 and It Isn't Free
Meta says early partners can already use the model, with new API accounts getting $20 in free credits and usage billed by tokens.
- On Thursday, Meta Platforms released the Muse Spark 1.1 API, granting developers access to its latest model designed for complex coding and autonomous agentic tasks.
- Shifting from its open-source Llama strategy, the company now focuses on selling proprietary model access to compete directly with OpenAI and Anthropic in the high-stakes AI market.
- Meta AI chief Alexandr Wang described the pricing as "very aggressive and attractive," offering $20 in free credits while charging $1.25 per million input tokens and $4.25 per million output tokens.
- Early partners currently have access to the API, and new users can join a waitlist through the developer portal to receive access over time.
- Meta is also developing a cloud business to sell computing capacity while training a more powerful model code-named Watermelon to support its $125 billion annual capital expenditure program.
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Meta, a latecomer to the artificial intelligence (AI) market, and SpaceXAI, led by Elon Musk, have successively launched high-performance AI models with significantly reduced prices. As companies turn to "token saving" to lower soaring AI costs, these companies appear to be accelerating their penetration of the enterprise AI market by emphasizing price competitiveness. On the 10th, Facebook's parent company Meta [launched] its latest model, "Mus…
Meta debuts Muse Spark 1.1 and it isn't free
Meta on Thursday rolled out Muse Spark 1.1, a major update to its AI platform, just three months after launching its first model under AI chief Alexandr Wang. The launch appears to be a sign of just how urgently Meta Platforms CEO Mark Zuckerberg wants to close the gap with OpenAI and Anthropic. Wang described Muse Spark 1.1 in a recent CNBC interview as the lab’s “strongest model for agentic and coding work yet.” The first Muse Spark, internall…
TechCrunch
Meta enters the crowded AI coding battle with Muse Spark 1.1
Meta's pitch to users is Spark's ability to handle large agentic workloads, fix bugs, and help with large code migrations — the kind of automation that enterprises are increasingly turning to AI companies to provide.
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