Suno AI
VS
Minimax Music

Unpacking the strengths and weaknesses of two emerging
contenders in the AI music generation space

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Introduction

As the demand for AI-generated music continues to grow, innovative platforms like Suno AI and Minimax Music are emerging as powerful tools for creators and music enthusiasts. This article compares these two solutions based on their features, audio quality, and user experience, providing valuable insights for those exploring AI in music production.

Specs

Both models deliver high-quality music; however, Minimax is currently limited to a maximum duration of 1 minute (plans to increase its maximum duration by an additional 3 minutes in the future), whereas Suno extends this capability to up to 4 minutes.

Minimax's standout feature is its ability to create music based on reference audio, preserving the style of the reference while generating new music tailored to your lyrics. In contrast, Suno allows you to create music by describing styles and providing lyrics, offering greater creative flexibility. However, creating music with Suno can be more challenging, as the outcome is less predictable, making it harder to anticipate the final result.

Read more about Minimax

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Practical tests

Note: Comparing music objectively is challenging, so I will test both platforms in various scenarios, including creating music across different genres and styles.

All lyrics generated with ChatGPT.

1. Create music from Instrumental:

I will provide the models with instrumental music and lyrics, aiming to generate a final piece that seamlessly combines the given instrumental with the provided lyrics.

Lyrics:
The road is rough, but I won't turn away,
Each heartbeat’s thunder keeps the dark at bay,
The scars I wear are medals of the fight,
Life’s a wild song, screaming through the night

Spinning Head
Gvidon
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https://tand-dev.github.io/audio-hosting/spinning-head-271171.mp3

Suno AI output

Minimax Music output

Suno AI
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https://tand-dev.github.io/audio-hosting/suno%201.mp3
Minimax Music
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https://tand-dev.github.io/audio-hosting/minimax%201.mp3
Result: (2/5) ❌
Suno offers a feature to extend your audio; however, when I provided an instrumental, it treated it as an additional layer to the music rather than using it as the foundational base.
Result: (4/5) ✅
Minimax handles the situation better, as it uses the instrumental more effectively, but it still slightly alters the original composition.

The next tests will be conducted as follows: For Minimax, I will provide reference audio and lyrics, while for Suno, I will specify the music style - matching the style of the reference audio - and lyrics.

2. Hip-hop music:

Lyrics:
Yo, we up in the zone now, turn it to ten
Got that bass in your chest, let the rhythm begin.
It’s the vibe, it’s the heat, feel it deep in your veins,
No brakes on this train, yeah, we breaking the chains.

Ride (Let’s Ride)
The Wave (Let’s Ride)
Ride (Let’s Ride)
The Wave (Let’s Ride)

Styles:
Hip-hop, R&B, funk
Method Man & Redman
Part II
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https://tand-dev.github.io/audio-hosting/method-man-redman-part-ii.mp3

Suno AI output

Minimax Music output

Suno AI
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https://tand-dev.github.io/audio-hosting/suno%203.mp3
Minimax Music
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https://tand-dev.github.io/audio-hosting/minimax%203.mp3
Result: (5/5) ✅
Suno produced a strong result.
Result: (5/5) ✅
Minimax produced a strong result.

3. How does it perform with hard rock, particularly growling vocals?

Lyrics:
Life is a game, and we’re pawns in the fight,
Trapped in the dark, no escape from the night.
Voices are silenced, drowned in the flood,
The chains on our wrists are stained with blood.

Rise! Open your mind, break the mold!
Scream! Let the truth be told!

This is your shattered illusion,
A world built on confusion.
No savior, no guide, just pain in disguise,
A kingdom of lies where innocence dies.

Styles:
Nu metal, Metalcore, Alt rock, Death metal, Growling
Infected Rain
Judgemental Trap
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https://tand-dev.github.io/audio-hosting/Infected_Rain-Judgemental_Trap.mp3

Suno AI output

Minimax Music output

Suno AI
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https://tand-dev.github.io/audio-hosting/suno%204.mp3
Minimax Music
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https://tand-dev.github.io/audio-hosting/minimax%204.mp3
Result: (4/5) ✅ 
Suno produced a good result, incorporating growling elements effectively
Result:  (1/5) ❌
Unfortunately, Minimax struggled to handle such heavy vocals effectively.

4. How about a song in Spanish?

Lyrics:
Callo mientras el viento susurra tu nombre,
Las noches me abrazan, pero yo soy hombre
De sombras y sueños que nunca se cumplen,
De un fuego apagado que aún me consume.
Camino despacio por calles vacías,
Donde tus risas llenaban mis días.
Ahora soy eco de lo que fui,
Un alma perdida que no quiere huir.

Styles:
Pop, Flamenco
Laberinto
Antoñito Molina
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https://tand-dev.github.io/audio-hosting/laberinto-antonito-molina.mp3

Suno AI output

Minimax Music output

Suno AI
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https://tand-dev.github.io/audio-hosting/suno%205.mp3
Minimax Music
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https://tand-dev.github.io/audio-hosting/minimax%205.mp3
Result:  (5/5) ✅
Suno did an excellent job incorporating elements typical of Spanish music into the song.
Result:  (4/5) ✅
A good result, but you can sense the singer's haste.

5. The next part of the experiment explores an intriguing approach: generating music with Minimax first and then feeding it into Suno. Let’s see how the results turn out.

Lyrics:
The road is rough, but I won't turn away,
Each heartbeat’s thunder keeps the dark at bay,
The scars I wear are medals of the fight,
Life’s a wild song, screaming through the night.
Laberinto
Antoñito Molina
Play buttonPause button
0:00
0:00
https://tand-dev.github.io/audio-hosting/uncle-tupelo-moonshiner.mp3

Suno AI output

Minimax Music output

Suno AI
Play buttonPause button
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https://tand-dev.github.io/audio-hosting/suno%202.mp3
Minimax Music
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https://tand-dev.github.io/audio-hosting/minimax%202.mp3
Result:  (5/5) ✅
As a result of this experiment, Suno was able to enhance the sound of Minimax by generating similar music with improved quality.
Result:  (3/5) ✅
The result is good, but some shortcomings are still noticeable.

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Compare for yourself

While we've highlighted some strengths, the best solution for your specific music production needs depends on your creative goals. Minimax Music stands out as an exceptional tool for crafting unique and high-quality compositions. The snippet below provides a starting point to explore Minimax Music's capabilities. Experiment to see how it delivers innovative and impressive results tailored to your style!

const main = async () => {
  const response = await fetch('https://api.aimlapi.com/v2/generate/audio', {
    method: 'POST',
    headers: {
      Authorization: 'Bearer <YOUR_API_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'minimax-music',
      prompt: `## Fast and Limitless. In the heart of the code, 
      	where dreams collide, FALs the name, taking tech for a ride. 
        Generative media, blazing the trail, Fast inference power, 
        we'll never fail.##`,
      reference_audio_url: `https://audio_url.mp3`,
    }),
  }).then((res) => res.json());

  console.log('Generation:', response);
};

main()

Conclusion

Test Suno AI Minimax Music
1 (2/5) ❌ (4/5) ✅
2 (5/5) ✅ (5/5) ✅
3 (4/5) ✅ (1/5) ❌
4 (5/5) ✅ (4/5) ✅
5 (5/5) ✅ (3/5) ✅

Minimax Music, a new player in the AI music generation segment, has already shown impressive results across various tests. While it still has some room for improvement, especially in handling more complex vocal styles. One of Minimax's key strengths is that it allows users to predict the outcome more easily, as it follows a more defined approach to music creation.

On the other hand, Suno AI offers greater flexibility and creativity, producing strong results in multiple genres. However, its results are less predictable, making it harder to anticipate the final product.

In summary, both models bring valuable features to the table. Minimax provides a more predictable outcome, especially when working with reference audio, while Suno offers a more dynamic and creative approach, albeit with less predictable results. As a new player in the market, Minimax is already showing solid performance, making it a strong contender in the AI music generation space.

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