Official model documentation
Fields: model identity
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context…
- Context
- 1.05M
- Max output
- Unknown
- Input
- $1.25
- Output
- $4.25
Recommended use cases
Strengths in this dataset
- 1,048,576-token context window
- text, image, video, file, audio input
- 12 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Supported
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Supported
- Structured output
- Supported
- Streaming
- Unknown
- Prompt cache
- Supported
- Batch
- Unknown
- Fine-tuning
- Unknown
Muse Spark 1.1 Provider pricing
Provider endpoint: meta/muse-spark-1.1
- Input
- $1.25 per 1M tokens
- Output
- $4.25 per 1M tokens
- Cached input
- $0.15 per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context…
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.