Meta enters AI coding battle with low-cost Muse Spark 1.1

Muse Spark 1.1 marks Meta's aggressive re-entry into the frontier race, this time as a paid API product rather than a purely open-weight release. Zuckerberg positioned it as a strong agentic and coding model at a deliberately low price, claiming it outperformed Gemini in agents and coding — a framing designed to undercut rivals on capability-per-dollar just as GPT-5.6 and Grok 4.5 landed in the same 72-hour window.

The launch bundles Muse Image and a September start for Meta's in-house AI chips, and Meta separately confirmed it is opening developer access to Muse Spark on the Meta Model API. Meta AI's account amplified a technical getting-started guide, signaling this is a real developer push, not a research preview.

The competitive stakes are the price war. With OpenRouter showing Chinese open-source models at 60–90% discounts and Meta explicitly leaning on 'very low price,' the coding-model market is bifurcating on cost. Skeptics note Meta's benchmark claims against Gemini are self-reported, and r/MetaAI's early Muse Image tests drew mixed reactions. Meta's broader ambition — hinted by reports it is also building a cloud business to sell excess AI compute — suggests it wants to be both a model vendor and an infrastructure host, competing with AWS Bedrock.