Muse Spark

Muse Spark
Muse Spark
Developer	Meta
Release	July 9, 2026
Type	Large language model
License	Proprietary - Spark ; Apache 2.0 - Glimmer
Website	ai.meta.com

Muse Spark is a large language model (LLM) developed by Meta through its Meta Superintelligence Labs (MSL).

History

It was introduced in April 2026 and launched as Muse Spark 1.1 on July 9, 2026.

Usage

It is the first model in Meta's Muse family and is designed for multimodal reasoning, coding, and AI-assisted software development. It is also used for other Meta AI products and services. It can handle a million tokens of context.^[1]

Variants

Muse Spark Open

An open-weight version of the model, Muse Spark Open, was released on October 15, 2026, and is a mixture of experts model consisting of 816 billion total parameters and 42 billion active parameters.^[2] Meta released a smaller open-weight large language model, Muse Glimmer, on August 10, 2026.

Muse Code

Meta released Muse Code, a terminal-based coding agent, alongside Muse Spark 1.2 on August 5, 2026. Powered by the model, it can write and debug code, complete longer software development tasks, and run multiple sub-agents concurrently.^[3] Muse Spark 1.2 was also made available through the Meta Model API and OpenRouter.^[4]^[5]^{[non-primary source needed]} A lower-priced contributor tier allows Meta to retain submitted data to improve its products, while data submitted through the higher-priced standard tier is not retained for that purpose.^[6]

Muse Glimmer

Muse Glimmer is an open-weight multimodal large language model developed by Meta released on August 10, 2026. The 30-billion-parameter causal language mode combines a large language model with a dedicated perception encoder and supports both natural language and visual inputs. It was designed for local agentic and coding workloads, and can be run offline on a 24 GB consumer GPU.^{[citation needed]} The model weights are distributed under the Apache License 2.0.^[7]^[8]

References

↑ "Meta enters the crowded AI coding battle with Muse Spark 1.1". TechCrunch. July 9, 2026. Retrieved July 11, 2026.
↑ Miller, Chance (October 15, 2026). "Meta launches new Muse Spark Open model, optimized to run on Mac Studio". 9to5Mac. Retrieved October 15, 2026.
↑ "Meta launches new AI coding tool powered by Muse Spark 1.2". Reuters. August 5, 2026. Retrieved August 5, 2026.
↑ "Meet Muse Spark 1.2 and Muse Code". Meta for Developers. Meta Platforms. August 5, 2026. Retrieved August 5, 2026.
↑ "Meta API and Models". OpenRouter. Retrieved August 5, 2026.
↑ "Meta to take on Anthropic's Claude and OpenAI's Codex with new coding agent". Business Insider. August 5, 2026. Retrieved August 5, 2026.
↑ "meta-models/Muse-Glimmer-30B". Hugging Face. Meta. Retrieved August 10, 2026.
↑ Dent, Steve (August 10, 2026). "Meta's 'open source' Muse Glimmer model can run on a single computer". Engadget. Retrieved August 10, 2026.

External links

Official website

[1] "Meta enters the crowded AI coding battle with Muse Spark 1.1". TechCrunch. July 9, 2026. Retrieved July 11, 2026.

[2] Miller, Chance (October 15, 2026). "Meta launches new Muse Spark Open model, optimized to run on Mac Studio". 9to5Mac. Retrieved October 15, 2026.

[3] "Meta launches new AI coding tool powered by Muse Spark 1.2". Reuters. August 5, 2026. Retrieved August 5, 2026.

[4] "Meet Muse Spark 1.2 and Muse Code". Meta for Developers. Meta Platforms. August 5, 2026. Retrieved August 5, 2026.

[5] "Meta API and Models". OpenRouter. Retrieved August 5, 2026.

[6] "Meta to take on Anthropic's Claude and OpenAI's Codex with new coding agent". Business Insider. August 5, 2026. Retrieved August 5, 2026.

[7] "meta-models/Muse-Glimmer-30B". Hugging Face. Meta. Retrieved August 10, 2026.

[8] Dent, Steve (August 10, 2026). "Meta's 'open source' Muse Glimmer model can run on a single computer". Engadget. Retrieved August 10, 2026.

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v t e AI-assisted software development
Concepts and techniques	Automated program repair Automatic programming Code generation Code review Intelligent code completion Program synthesis AI-assisted testing Static program analysis Vibe coding
Coding assistants	Amazon Q Developer ChatGPT Cody Google Gemini GitHub Copilot Qodo Tabnine
Development environments	Cursor Google AI Studio Google Antigravity Zed
Software development agents	Amp Claude Code Cline Codex Codex CLI Command Code Devin goose Grok Build Hermes Agent Kilo Code Kimi Code Muse Code Oh My Pi OpenCode OpenHands Perplexity Computer Pi Replit Agent Warp
Models and model families	Claude DeepSeek Coder Gemini GLM IBM Granite Kimi Nemotron Qwen Tencent Hy
Local inference software	MLX LM Llama.cpp LM Studio Ollama vLLM
Frameworks	CrewAI Theia AI LangChain
Agent harness List of AI-assisted software development tools List of large language models OpenRouter

v t e Large language models (LLMs)
List of LLMs AI Companies Benchmarks List of chatbots Foundation model Generative AI
Concepts	Language model NLP NLG Computational linguistics Foundation model Small language model Reasoning model Generative pre-trained transformer Transformer Attention KV cache Context window Tokenization Word embedding Parameter Hyperparameter Autoregression Mixture of experts (MoE) Inference Model compression Knowledge distillation Speculative decoding PagedAttention Neural scaling law Multimodality Open weights
Training, prompting, and alignment	Self-supervised learning Supervised learning Fine-tuning Instruction tuning RLHF Constitutional AI AI alignment AI safety Mechanistic interpretability Prompt engineering In-context learning Chain-of-thought prompting RAG Prompt injection Adversarial machine learning Hallucination Stochastic parrot Glitch token Generative engine optimization
Models	Apertus BERT BLOOM Chinchilla Claude DBRX DeepSeek-LLM Gemini Gemma GloVe GLM GPT GPT-J PanGu Granite Hy Inkling Jais LaMDA Laguna S Llama MiMo Minerva Mistral and Mixtral Muse Spark Muse Glimmer Nemotron PaLM Phi Qwen Seq2seq T5 Vicuna Word2vec XLNet
Chatbots and assistants	Amazon Q ChatGPT Character.ai Claude Claude Code DeepSeek Doubao Ernie Bot Gemini Grok Kimi Kimi Code Lumo Microsoft Copilot Meta AI Perplexity AI Sparrow You.com
Agents, coding, and applications	AI agent Intelligent agent AutoGPT CrewAI LangChain Manus Model Context Protocol Agent2Agent OpenAI Codex Vibe coding Code generation Question answering Machine translation Text summarization Chatbot Virtual assistant
Software	PyTorch TensorFlow Hugging Face llama.cpp LM Studio Ollama SGLang TensorRT-LLM vLLM ONNX OpenVINO Vector database ChromaDB Deep learning software Open-source AI software
Hardware and infrastructure	AI data center CUDA GPU High Bandwidth Memory Neural processing unit TPU
Benchmarks, evaluation, and detection	Language model benchmark AI agent benchmark MMLU Humanity's Last Exam LMArena LLM-as-a-Judge Perplexity metric GPTZero Artificial intelligence content detection Undetectable.ai
Datasets and data	Data set Text corpus Common Crawl The Pile Web scraping Synthetic data Training, validation, and test data sets
Organizations	AI21 Labs Alibaba Anthropic Baidu Cohere DeepSeek EleutherAI Google DeepMind Hugging Face Meta AI Microsoft AI Mistral AI MiniMax Moonshot AI Nvidia OpenAI OpenRouter Sarvam AI StepFun Technology Innovation Institute Thinking Machines Lab xAI
People	Sam Altman Dario Amodei Yoshua Bengio Aidan Gomez Demis Hassabis Geoffrey Hinton Andrej Karpathy Yann LeCun Percy Liang Liang Wenfeng Christopher D. Manning Arthur Mensch Mira Murati Alec Radford Noam Shazeer Ilya Sutskever Ashish Vaswani Andrew Ng
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Category:Large language models