AI Battle > Rankings > Muse Spark 1.3 (xhigh)

Muse Spark 1.3 (xhigh) — Placements in 12 Rankings (2026)

Muse Spark 1.3 (xhigh), published by Meta, appears in 12 of the 129 datasets AI Battle tracks. Its strongest published placement is #3 of 20 in 𝜏³-Banking: Time per Task.

Last updated: . Every placement below comes from the named public dataset; AI Battle joins them by slug and changes nothing else.

All placements for Muse Spark 1.3 (xhigh)

RankingRankValue
𝜏³-Banking: Time per Task#3 of 200.89
SciCode: Score#5 of 200.60
GDPval-AA v2 Leaderboard#7 of 201662
GDPval-AA v2: Average Turns per Task#7 of 2063.1
SciCode: Time per Task#7 of 200.62
𝜏³-Banking: Score#10 of 200.47
SciCode: Cost per Task#12 of 200.00
GDPval-AA v2: Cost per Task#14 of 200.00
𝜏³-Banking: Cost per Task#15 of 200.00
GDPval-AA v2: Output Tokens per Task#16 of 2045718
SciCode: Output Tokens per Task#17 of 20584
𝜏³-Banking: Output Tokens per Task#18 of 204261

Price vs intelligence

intelligence index →input price / 1M → $4.00
Each dot is a model, joined by AI Battle from two public datasets — the intelligence index ranking and the published input pricing ranking. Every published value is shown as-is, no averaging. The dashed line is the value frontier: no model above or to the right of it offers a lower input price at its intelligence level.

How to read this profile

Each row is a separate measurement in a separate dataset — the position reflects the metric of that ranking, and a higher number is not "better" for every dataset (times and prices are costs). AI Battle deliberately does not average placements into a single score: datasets differ in coverage, so a total would hide more than it shows.

Raw data

Machine-readable profile: /data/models/muse-spark-1-3-xhigh.json.

Method

Placements, joins and this page are computed by AI Battle from public datasets — see the methodology for sources, limitations and corrections.