Meta Launches Muse Spark 1.3, Open-Source Glimmer Model

Meta Platforms built a large developer following by releasing the weights of its Llama models, but its decision to keep the flagship Muse Spark system closed raised questions about that strategy. Muse Glimmer marks a renewed push into open-weight AI, targeting agents that can execute code, call tools and complete multi-step workflows on local machines. Local deployment could reduce cloud costs while allowing companies and individuals to process sensitive information offline.

Meta released Muse Glimmer on Aug. 10, 2026, under the permissive Apache 2.0 license. The 30-billion-parameter model supports multimodal and multilingual reasoning, while 4-bit versions require less than 20GB of memory and can run on a single consumer GPU. Meta said Glimmer outperformed similarly sized Google Gemma 4 31B and Alibaba-backed Qwen3.6 27B models across selected coding, software-engineering and multi-step agent benchmarks, though the results remain company-reported.

Meta Superintelligence Labs introduced the Muse Spark family in April as a multimodal reasoning system designed for complex scientific and software tasks. Muse Spark 1.2 extends that push as leading AI developers increasingly compete not only on headline accuracy, but also on the cost and speed of deploying models. Its tool-free Olympiad tests are significant because they seek to isolate the model’s underlying reasoning rather than gains from web search, coding or calculators.

Meta released Muse Spark 1.2 on Aug. 5 and on Aug. 7 said it achieved gold-medal-level results across several STEM Olympiads without external tools. Vals AI scored the model at 71.9 on the Vals Index, up 3.5 points from Muse Spark 1.1, placing it in the top five at a cost of $0.69 per test. It also led Finance Agent v2 with 59.4%, ahead of Gemini 3.6 Flash at 58.1%, while completing the Index run in 629.7 seconds.

Meta Platforms is expanding its generative-AI push into software development, taking aim at terminal-based coding tools led by Anthropic’s Claude Code and OpenAI Codex. Meta Superintelligence Labs introduced the Muse Spark model family on April 8 and opened a paid developer API on July 9. Muse Code marks a broader effort to turn Meta’s AI research into commercial tools for engineers handling complex, repository-scale work.

Meta AI released Muse Code in beta on Aug. 5, powered by the new Muse Spark 1.2 model and available on macOS and Linux. The agent can plan changes, write code, run tests and verify results, while persistent asynchronous background agents continue working across long sessions. Standard API pricing is $1.25 per million input tokens and $4.25 per million output tokens. Meta said one demonstration ran for up to 24 hours and made more than 1,000 tool calls.

Meta, previously known for its open-source Llama models, is shifting toward a closed-source strategy to challenge OpenAI and Anthropic. Meta Superintelligence Labs, led by former Scale AI executive Alexandr Wang, has introduced Muse Spark, a model focused on agentic tasks and coding. Its low pricing is designed to attract small and midsize development teams, formally marking Meta’s entry into the closed-source frontier-model market.

Meta formally unveiled the upgraded Muse Spark 1.1 on July 9, 2026, expanding its context window to 1 million tokens and opening paid access to the Model API for the first time. Mark Zuckerberg took the unusual step of promoting it in a post. Input and output tokens are priced at just $1.25 and $4.25 per million tokens, respectively, as Meta seeks to undercut rivals and gain market share.

Meta built its open-source AI profile with the Llama series, but is now introducing Muse Spark from Meta Superintelligence Labs, a multimodal model designed to process text and images. The model will be integrated into Facebook, Instagram, WhatsApp and smart glasses, signaling a shift toward a product-first strategy and commercial applications.

Muse Spark was formally unveiled after three delays. As of July 19, 2026, its API was available only to invited developers in preview and the model had not been open-sourced. Meta has not yet disclosed API pricing, model parameters or the amount invested, but has confirmed that Muse Spark will strengthen Meta AI’s reasoning capabilities and extend into personal-assistant services for areas including health and shopping.