Muse Spark

Meta's new Muse Spark model comes with a two-tier pricing scheme: a standard rate, and a discounted 'contributor' rate — up to 95% cheaper — for customers who let Meta use their prompts and outputs for training future models. The move follows a failed attempt earlier this year to track employee computer usage for the same purpose.

Meta has released Muse Spark 1.3, its fourth model in five months, with an xhigh tier available now and a more powerful max tier in limited preview. The model improves sharply on agentic benchmarks and costs $0.55 per index task—cheaper than any rival at the same performance level—but still trails Claude Fable 5.1 on most tests.

Meta Superintelligence Labs shipped Muse Spark 1.3, which the company claims ranks #3 globally on the Artificial Analysis Intelligence Index and matches OpenAI's GPT-5.6-Sol on coding and agentic benchmarks. The model is available now via Muse Code and Meta's API, with open weights and a follow-up model promised soon.

Meta has released Muse Spark 1.3 Contributor, described as the cost-efficient contributor tier of its multimodal reasoning model line. The model offers a 1 million token context window at $0.10 per 1M input tokens and $0.20 per 1M output tokens, targeting experimentation and early-stage agentic workflows.

Meta has released Muse Spark 1.3, a multimodal reasoning model with a 1M-token context window, listed as free on OpenRouter. The model targets long-running agentic, multi-agent, and coding workflows, though audio input support remains incomplete.

Meta has introduced a discounted 'Contributor' tier of its Muse Spark 1.2 reasoning model, priced at $0.10 per 1M input tokens and $0.20 per 1M output tokens. The lower cost comes with a tradeoff: prompts and outputs may be used to improve Meta's products.

Meta CEO Mark Zuckerberg announced the company will open-source its Muse Spark 1.2 model and launch a new on-device model family called Muse Glimmer. The move positions Meta against closed-model rivals OpenAI and Anthropic and against Chinese open-weight labs like DeepSeek and Alibaba.

Meta has released Muse Code, its first AI coding agent, built to work with the new Muse Spark 1.2 model. The beta tool undercuts rivals Anthropic and OpenAI on price rather than raw capability, according to Meta AI chief Alexandr Wang.

Meta is rolling out a productivity-focused update to its AI chatbot, adding calendar integration, daily briefings, and mid-response steering for research tasks. The update, powered by the new Muse Spark 1.1 model, marks a reversal from Meta's earlier strategy of prioritizing entertainment over productivity.

Meta has released Muse Image, its first image generation model from Meta Superintelligence Labs. The model is now available in the Meta AI app and powers new creative features in Instagram Stories and WhatsApp direct chats, with over 30 AI-powered effects for Instagram Stories launching in limited countries.

Meta has added voice conversation capabilities and live camera analysis to its Meta AI app, both powered by the company's Muse Spark model. The features previously available only on Meta's AI glasses are now rolling out to the standalone app, which ranks fourth on the U.S. iPhone App Store.

Meta released Muse Spark in early April, its first closed-source AI model that will eventually offer paid developer access. According to Arena.AI rankings, Muse Spark trails Anthropic's Claude and Google's Gemini in text capabilities but beats OpenAI's GPT in vision tasks.

Meta has released Muse Spark, a proprietary AI model with restricted access via API and portal invite only—a striking reversal from CEO Mark Zuckerberg's 2024 manifesto championing open-source AI. The model claims performance matching top competitors from OpenAI, Anthropic, and Google, trained with an order of magnitude less compute than Llama 4.

Meta has released Muse Spark, the first model from Meta Superintelligence Labs, a unit assembled under chief AI officer Alexandr Wang following Meta's $14.3 billion investment in Scale AI. The natively multimodal model features a "Contemplating" reasoning mode with parallel sub-agents and marks Meta's break from its open-source Llama heritage by operating as closed source.