New Muse Spark 1.1 Model Released by Meta
Meta has unveiled the new Muse Spark 1.1 model, showcasing impressive benchmark results and aimed at complex tasks.
New Muse Spark 1.1 Model Released by Meta
Meta has announced the new Muse Spark 1.1 model, which already demonstrates impressive results in benchmarks, reaching levels comparable to Opus 4.8 and GPT-5.5. While it slightly lags in coding, it remains highly competitive overall.
Key Features:
- Agent Orientation: The model is designed for working with multi-agent systems and executing long-duration tasks.
- Context: The model supports a context of up to 1 million tokens.
- High Adaptability: Muse Spark 1.1 is well-versed in modalities and interfaces, effectively handling complex multi-step tasks.
New Meta Model API
Alongside the model, a new Meta Model API is being launched, currently available in preview. Muse Spark 1.1 can already be tested at attractive prices: $1.25 per million input tokens and $4.25 per million output tokens.
It seems that Mark Zuckerberg is making a comeback in the tech race!
Why it matters
AnalysisThis model could significantly impact the development of multi-agent systems and AI technologies, offering new opportunities for developers.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
Llama Family (Meta Llama)
A series of foundational open language models from Meta (Llama 3, 3.1, 3.3) that have become the industrial standard for the Open Weights ecosystem, local AI, and enterprise fine-tuning.
MIT researchers show GPT-6 Astra can improve other AI models by editing their weights
In an experiment, Astra raised Qwen3.5-0.8B's accuracy on MATH-500 from 7.9% to 48.1% by changing only 0.016% of the model's weights.
JSON — Structured Data for Programs, APIs, and AI Agents
A complete hands-on guide to JSON: syntax specifications, serialization via parse and stringify, REST API consumption, JSON Schema validation, and structured outputs for LLMs.
DOCX and XLSX Formats: When AI Needs to Deliver Production-Ready Documents
A comprehensive hands-on guide to generating and processing DOCX documents and XLSX workbooks with AI: comparing against Markdown and CSV, prompt engineering, formula design, and code automation.