Meta: Muse Spark 1.2
Meta: Muse Spark 1.2 is a model from Meta that accepts text, image, video, and file inputs. It offers a context window of 1,048,576 tokens and a maximum completion length of 943,718 tokens, so long documents, large codebases, or extended media inputs can fit in a single request, with room for very long outputs. It supports tool use and reasoning. The available facts do not confirm structured output support or whether the weights are open. Pricing is $1.25 per million input tokens and $4.25 per million output tokens. That suits teams that send large inputs or need long generations and want to keep per-token costs in view. It belongs on a shortlist for workloads that mix video, images, and files with tool calls across very long contexts. There is no independent benchmark coverage yet, so its quality is unproven; test it on your own tasks before committing.
- Model ID
- meta/muse-spark-1.2
- Vendor
- meta
- Released
- August 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 1.1
Quick answers
- How much does Meta: Muse Spark 1.2 cost?
- $1.25 per million input tokens and $4.25 per million output tokens.
- What is Meta: Muse Spark 1.2's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Meta: Muse Spark 1.2 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Meta: Muse Spark 1.2 process images?
- Yes, it accepts image input.