Muse Spark: API Pricing, Context Window & Benchmarks
Muse Spark is a language model from Meta, released in April 2026, with multimodal input.
Muse Spark is the first model in the Muse family developed by Meta Superintelligence Labs. It is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. It features a
Muse Spark benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Muse Spark across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Muse Spark holds up as conversations get longer.
Quality Tracker
Muse Spark Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Sun Sep 06 2026Muse Spark latency
Muse Spark time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Muse Spark examples
Recent arena outputs from Muse Spark, picked from the highest-ranked matchups.
Muse Spark license
Muse Spark is a proprietary model available under its provider's product and API terms.
- License
- Proprietary
- Hosted access
Proprietary license - usage restrictions apply
Muse Spark resources
Official sources for Muse Spark: official playground, official launch post.
Muse Spark vs other models
The most-compared alternatives to Muse Spark are GPT-5.2, Kimi K2.6, Claude Opus 4.8. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Muse Spark
Models ranked just above and below Muse Spark by LLM Stats score.
FAQ
Common questions about Muse Spark.