Instrumental LeaderboardArtificial Analysis

Range
Creator
Model
Elo
95% CI
Samples
11-2
Mureka logoMureka
Mureka V9
1,187-16/162,531
21-2
Suno logoSuno
Suno V5.5
1,186-9/96,112
33-4
Mureka logoMureka
Mureka V8
1,166-9/97,006
43-4
Suno logoSuno
Suno V5
1,159-9/96,572
55
Google logoGoogle
Lyria 3 Pro
1,120-9/96,430
66
Suno logoSuno
Suno V4.5
1,085-9/94,726
77
MiniMax logoMiniMax
Music 2.6
1,069-8/86,509
87-9
ElevenLabs logoElevenLabs
Eleven Music v2
1,060-11/113,618
98-9
MiniMax logoMiniMax
MiniMax Music 2.5+
1,052-9/96,463
1010-12
Producer.ai logoProducer.ai
FUZZ-1.1 Pro
1,036-9/94,733
1110-12
ElevenLabs logoElevenLabs
Eleven Music
1,030-9/95,164
1210-13
Producer.ai logoProducer.ai
FUZZ-2.0 Raw
1,027-9/95,097
1312-13
Producer.ai logoProducer.ai
FUZZ-2.0
1,020-9/95,235
1414
Google logoGoogle
Lyria 2
1,0000/04,769
1515-16
Stability.ai logoStability.ai
Stable Audio 2.0
959-10/104,606
1615-16
Udio logoUdio
Udio v1.5 Allegro
954-10/104,714
1717
Sonauto logoSonauto
Sonauto V2.1
938-10/105,208
1818
Meta logoMeta
MusicGen
865-11/114,602

Frequently Asked Questions

Mureka V9 leads the instrumental Music Arena with an Elo score of 1187.

The top instrumental music models by Elo rating are: 1. Mureka V9 (Elo 1187), 2. Suno V5.5 (Elo 1186), 3. Mureka V8 (Elo 1166), 4. Suno V5 (Elo 1159), and 5. Lyria 3 Pro (Elo 1120). Rankings are based on blind user votes in the Music Arena.

Models are ranked using an Elo rating system derived from user votes in blind comparisons. Users listen to pairs of music samples generated from the same prompt and choose their preferred track without knowing which model created it. Higher Elo scores indicate a model is preferred more often. Vote in the Music Arena

The Instrumental mode shows rankings for models generating music without vocals, while the Vocals mode shows rankings for models that generate music with singing or vocal elements. Models may perform differently in each mode, so separate rankings are provided.

The leaderboard supports filtering by various music genres. You can view rankings for specific genres to see which models excel at generating different styles of music, from electronic to classical and beyond.