Meta: Muse Spark 1.1
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...
Anyone in the Project can @-mention Meta: Muse Spark 1.1 with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- Mixed-media content analysis at scale
- Long-document processing with images
- Video understanding on a budget
- Audio transcription with visual context
- Cost-sensitive multimodal workflows
Strengths
The 1M token context window handles entire codebases, long transcripts, or multi-hour video content in a single pass. Five-modality support means you can throw documents, screenshots, audio clips, and video at the same prompt without preprocessing. At $1.25 input and $4.25 output per million tokens, it undercuts most multimodal competitors by 30-50% while maintaining the context capacity of models costing twice as much.
Trade-offs
Meta hasn't published benchmark scores yet, so quality on reasoning tasks, code generation, and instruction-following remains unverified against Claude, GPT-4o, or Gemini. Early-stage models from new providers sometimes struggle with nuanced instructions or hallucinate on complex multimodal reasoning. The lack of third-party evals means you'll need to run your own quality checks before trusting it with production workloads.
Specifications
- Provider
- meta
- Category
- llm
- Context length
- 1,048,576 tokens
- Max output
- 943,718 tokens
- Modalities
- text, image, video, file, audio
- License
- proprietary
- Released
- 2026-07-16
Pricing
- Input
- $1.25/Mtok
- Output
- $4.25/Mtok
- Model ID
meta/muse-spark-1.1
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Analyze Meeting Recording
Watch this meeting recording and review the slide deck. List all action items assigned, decisions made, and unresolved questions. Include timestamps for each item.Open in a Project →
Summarize Research Papers
Read these five research papers and their figures. Summarize the methodology, key findings, and how each paper's results compare. Highlight any contradictions.Open in a Project →
Audit Video Content
Watch this training video series and flag any sections where the speaker contradicts earlier statements, uses outdated terminology, or skips required safety warnings.Open in a Project →
Extract Data from Invoices
Process these 50 invoice images. Extract vendor name, invoice number, date, line items, and total for each. Output as a CSV table.Open in a Project →
Transcribe and Translate Podcast
Transcribe this podcast episode, then translate the transcript to Spanish. Preserve speaker labels and note any music or sound effects that interrupt dialogue.Open in a Project →
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