Blind-test AI music models with one brief: Sume Music Router ids
New music models launch monthly (Suno v6, ElevenLabs Music v2.5). A simple blind test with one brief, and the three routable ids Sume's router accepts.

To choose between AI music models, give each the same written brief, strip the labels, and have two people rank the takes. Models are changing fast: TechCrunch reported Suno's v6 family on 2026-09-09, and a changelog roundup reports ElevenLabs Music v2.5 as default from 2026-09-11. Neither source gives a head-to-head score, so a blind test on your own brief is the only evidence that counts for your use.
Sume can be one of the contestants: its Music Router lets you pin one of three ids, and every generation is a fixed-price job.
How do I set up the test?
Write one brief with Sume's seven axes: emotion, genre, tempo as a number, key and mode, two to four instruments with texture, one named moment in the arc, and the era or production style, closed with "Instrumental, no vocals" if you want no singing. Send the same text to every tool, ask for the same length in words, and generate three takes each. The Music docs note that these axes are creative directions, not guaranteed settings, so judge the audio.
| Step | What to do | Sume detail |
|---|---|---|
| 1. Brief | One text, seven axes | Prompt up to 5000 characters |
| 2. Takes | Three per tool, same length wording | Length is stated in the prompt; no duration field |
| 3. Engines | Pin explicit ids where offered | sume/music-auto, lyria-3.5, lyria-3-pro |
| 4. Blind | Rename files with random codes | Keep the job id in your key |
| 5. Rank | Two listeners rank independently | Store the scores with the file |
Why pin an id instead of using auto?
Because sume/music-auto resolves to whatever Sume picks, which is Lyria 3.5 today and may change. A test only tells you about the engine you tested. Pin lyria-3.5 or lyria-3-pro for a fair test, and read job.request.routed_model on each result to confirm what ran. Each id charges the fixed Music price per generation, so the test costs the same per take whichever you pin.
curl -X POST https://api.sume.com/v1/music-router/generate \
-H "Authorization: Bearer $SUME_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: blind-test-a-take-1" \
-d '{"model":"lyria-3-pro",
"prompt":"Hushed neo-soul nocturne, 72 BPM, D minor. Rhodes, soft sub bass, brushed snare. A 30-second track. Instrumental, no vocals."}'How do I read the result?
Rank on fit to the picture, not on how impressive the first ten seconds are, because most music in video sits under speech or action. Check the ending too: a track that stops abruptly needs a fade, which a Timeline render can add. Record the winner with the date and model, since the answer can change when either vendor ships a new version.
The Music Router page lists the ids and request fields, and Music 1.0 has the brief template.
What should I do?
Run the test once per quarter, or when a vendor changes its default. Keep the files and scores so the next test has a baseline.
Sources
Related posts
- AI music brief template: seven axes for a Lyria 3.5 prompt
- ElevenLabs Music v2.5 became the default: which model made a track?
- List music models by API: GET /v1/music-router/models
- Suno alternative with an API: what Sume's Music Router does
- AI music commercial use for ads: Suno, ElevenLabs, Lyria checklist
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Written by Sume