Meta: Muse Spark 1.3
The Meta: Muse Spark 1.3 is a multi-modal AI model that can handle various types of input, including text, images, videos, files, and audio. It operates with a context length of 1048576 tokens and supports tools and reasoning capabilities. Those considering this model for their needs should weigh its cost against its performance. With a blended benchmark score of 82.3 across one independent benchmark, it falls within the average range. Its price point is $1.25/M input token and $4.25/M output token, which may be reasonable for users who require these capabilities but can be steep for those with limited budgets.
Benchmark results
Independent, published benchmarks. Blended score 82.3 across 1 benchmark, last refreshed 2026-09-27. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 79.4 |
- Model ID
- meta/muse-spark-1.3
- Vendor
- meta
- Released
- September 2026
- Tokenizer
- Other
- Input Modalities
- text, image, video, file, audio
- Output Modalities
- text
- Max Output
- 943,718 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- ✓ accepts audio
- 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 |
Strong choice for
Category rankings
Where Meta: Muse Spark 1.3 places across the 20 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #5 | Audio SummarizationVoice · of 25 ranked | 150 |
| #5 | Video SummarizationVideo · of 25 ranked | 150 |
| #6 | TTS ReplacementVoice · of 25 ranked | 115 |
| #17 | Resume WritingBusiness · of 25 ranked | 113 |
| #18 | Screenshot DebuggingVision · of 25 ranked | 133 |
| #19 | Regex WritingCode · of 25 ranked | 126 |
| #19 | Frontend Component DesignCode · of 25 ranked | 131 |
| #19 | Language TranslationWriting · of 25 ranked | 126 |
| #19 | Tutoring for KidsPersonal · of 25 ranked | 126 |
| #20 | Marketing CopyWriting · of 25 ranked | 121 |
| #20 | Standardized Test PrepEducation · of 25 ranked | 121 |
| #20 | Chart & Graph ReadingVision · of 25 ranked | 137 |
| #21 | Sales / Cold EmailBusiness · of 25 ranked | 118 |
| #21 | Job Application DraftingBusiness · of 25 ranked | 118 |
| #21 | Journaling HelperPersonal · of 25 ranked | 118 |
| #21 | Recipe GenerationPersonal · of 25 ranked | 118 |
| #22 | Diagram ExtractionVision · of 25 ranked | 133 |
| #23 | Browser AutomationAgents · of 25 ranked | 139 |
| #24 | SOP / Process DocsBusiness · of 25 ranked | 121 |
| #25 | Code DocumentationCode · of 25 ranked | 138 |
Similar models
Meta: Muse Spark 1.3 Contributor
Meta: Muse Spark 1.2 Contributor
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Quick answers
- How much does Meta: Muse Spark 1.3 cost?
- $1.25 per million input tokens and $4.25 per million output tokens.
- What is Meta: Muse Spark 1.3's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Meta: Muse Spark 1.3 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Meta: Muse Spark 1.3 process images?
- Yes, it accepts image input.