Meta: Muse Spark 1.3 Rank
Muse Spark 1.3 has an overall score of 73 out of 100, tied for rank 67 of 291. The published scores are price 51, context 71, and recency 97. The overall score is their average. parameters and freshness are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 67 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 97 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 944K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 51 | $2 / 1M blended, $1.25 / 1M input, $4.25 / 1M output | AI Token Price |
66 listed models have a higher overall score. Among Meta models, it ranks 4 of 8.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
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Frequently asked questions
What is the Muse Spark 1.3 rank?
Muse Spark 1.3 has an overall score of 73 out of 100, tied for rank 67 of 291. The published scores are price 51, context 71, and recency 97. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Muse Spark 1.3 rank?
Muse Spark 1.3 is tied for rank 67 of 291. 66 listed models have a higher overall score. Among Meta models, it ranks 4 of 8.
What scores make up Muse Spark 1.3?
Muse Spark 1.3 scores price 51 (AI Token Price), context 71 (AI Context Window), and recency 97 (AI Release Date). The overall score of 73 is the average of those 3.