Meta: Muse Spark 1.1
Meta: Muse Spark 1.1 is a paid model from Meta that accepts text, image, video, and file inputs. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, so a single request can carry large documents, long transcripts, or mixed media alongside very long outputs. It supports tool calling and reasoning. Structured output support is not specified, so teams that depend on strict schemas should test it before committing. At $1.25 per million input tokens and $4.25 per million output tokens, it suits buyers who need long context and video or file input but want to keep per-token costs moderate. It has no independent benchmark coverage yet, so its quality relative to alternatives is unproven. Shortlist it for long-context or multimodal trials, and run your own evaluations against established options before adopting it for production work.
- Model ID
- meta/muse-spark-1.1
- Vendor
- meta
- Released
- July 2026
- Tokenizer
- Other
- Input Modalities
- text, image, video, file
- Output Modalities
- text
- Max Output
- 943,718 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $1.25/M input and $4.25/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.04 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.84 |
| A month of a busy support chatbot | 5M in / 2M out | $14.75 |
Similar models
Meta: Muse Spark Open
Meta: Muse Wonder
Meta: Muse Spark 1.3 Contributor
Meta: Muse Spark 1.3
Meta: Muse Spark 1.2 Contributor
Meta: Muse Spark 1.2
Quick answers
- How much does Meta: Muse Spark 1.1 cost?
- $1.25 per million input tokens and $4.25 per million output tokens.
- What is Meta: Muse Spark 1.1's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Meta: Muse Spark 1.1 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Meta: Muse Spark 1.1 process images?
- Yes, it accepts image input.