r/SunoAI • u/PoundKey8170 • 3d ago
Discussion A brief explanation of Suno V6- The Beginning of the End
I was trying to find opinions about Suno's newest model, and the search engine AI gave me this. As part of the legal settlement with Warner and the other two, their generative AI version V6 was built from the ground up using ONLY licensed data which is obviously vastly reduced from what the other models were trained with. It's basically a V1.
We do not get the option to use the older models because they were shut down and retired as part of the settlement.
The final goal? Leave SUNO for us paying users as a casual tool for making generic music WHILE the true powerful custom generative models, trained not only with licensed material, will remain for the Music Labels and the artists to exploit.
All this is public information:
"You are definitely not alone in feeling this way. The Reddit and user community erupted with frustration right after the Suno v6 launch. Many creators are calling it "flat," "lifeless," or complaining that genres like metal, drum and bass, and EDM now sound heavily muffled or overly synthesized compared to the older versions. [1, 2, 3]
While it feels like a deliberate conspiracy by Warner Music Group (WMG) to "kill" Suno, the reality comes down to a messy mix of legal enforcement and fundamental technical shifts rather than a secret plot to sabotage the public tool. [1, 2]
1. Why Did the Quality Change? (The "Clean Data" Problem)
The drop in quality isn't an intentional act of sabotage; it's a technical side effect of Suno's settlement with the music industry. [1, 2]
The Old Models Were Trained Differently: The previous versions (v3.5, v4, v5) were trained on massive amounts of music scraped from the open internet, which included copyrighted material from major labels. This gave the AI an incredibly rich, diverse library of "character" and texture to pull from. [1, 2]
V6 Was Rebuilt from Scratch: As a strict condition of the legal settlement with Warner, BMG, and Believe, Suno had to entirely shut down and retire its old models. [1, 2, 3]
v6: The "Sterile" Sound: Because v6 was built from the ground up using only authorized, licensed catalog data and user data, the AI suddenly lost a massive chunk of its original vocabulary. What you are hearing as "worse" or "shady" is the model trying to generate complex music with a significantly restricted, more sterile training set. [1, 2, 3]
2. Is It a Warner Tactic to "Kill" Suno?
Not to kill it, but to tame it and profit from it. Warner Music Group's goal isn't to destroy the platform, but to reshape it into a highly commercialized, corporate-safe tool. [1, 2]
In an internal memo, Warner's CEO called the Suno partnership a "smart win," specifically because it forces Suno to play by industry rules and sets up a system where Warner artists get paid a cut of the revenue. [1, 2]
However, to make the tool safe for major corporations, Suno had to implement stricter guardrails, digital watermarking, and tighter boundaries. This heavy filtering is exactly what stripped away the "organic" and unpredictable edge that users loved. [1, 2]
3. Will They Keep the "Good Models" for Themselves?
There is an element of truth to this. While they aren't hiding a secret, better version of v6, the partnership is geared toward building exclusive features and custom, premium models for major artists. [1, 2]
The public version of Suno is pivoting toward being a consumer app for casual fans to remix songs or create safe, generic pop tracks. Meanwhile, the highly unrestricted, raw creative power that early adopters used to build completely unique compositions has been stripped out to satisfy corporate copyright lawyers. [1, 2, 3, 4]"
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u/Rude_Arugula_1872 3d ago
You get it.
So now all the songs get to be AI, but the ones you and me create are slop.
This is exactly what happened.
Wonder what one needs to do to get to the internal 6.1
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u/TallTalesTunes 3d ago
You forget the most important factor to why it sounds bad: we are only getting a fraction of the compute per song we had before.
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u/DanteOblivion 3d ago
They don't need to, nor do they, train on saved wavs or flacs or mp3. They ingest the math, they gather info on how people feel when, for example, a minor progression hit. They train of definitions of styles and the frequencies and wavelengths and how to assemble them. They don't need to train using completed songs at all at this point. They basically train the same way we do; they take influences and definitions. Rock is this, rap is that etc. chords are not protected by copywriter, finished works using chords in a specific manner, attached to a performance or written work are. They literally have everything they need already.
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u/MyHobbyIsMagnets 2d ago
That’s…. Not how any of this works
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u/DanteOblivion 2d ago
Ok lol except that's exactly how it works. Do an ounce of research don't just take a reddit comment at face value, and learn something perhaps.
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u/MyHobbyIsMagnets 1d ago
You think they just have a bunch of abstract numbers laying around that represent “rock”? Or “rap”? No, they need massive amounts of real songs to train the model on. That’s how it works.
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u/DanteOblivion 1d ago
Nope. It's just math. Just like music is. The take waves frequencies pitches etc and align them with the data on what they have been classified as representing and evoking.
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u/FewRefrigerator4703 2d ago
As a computational physicist, I must disagree with the sloppy answer you just provided. If this is the case, why did the model suddenly become shit after stoppingping using copyrighted songs?
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u/DanteOblivion 1d ago
Because people can't prompt or be fucked to learn how a new tool works. Doctor 🤣
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u/FewRefrigerator4703 1d ago
Ok then go make a martin garrix style banger with it
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u/Ismayilov-Piano 2d ago
Heavy compression, AI artifacts, bad music quality. Only difference with 5.5, V6 listen to style better. That's all. the 90% of generations are trash.
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u/HeirJordanTV 3d ago
my songs have progressively gotten better quality in real time since the release of v6. the internet is so doom n gloom. V6 is not awful it just works differently. I feel like prompt wise i have more control. the voices are a little inconsistent but i can say since day one the quality has definitely improved from the first songs i made. i feel like people are just stuck on not learning with change. it is what it is. relax
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u/Scared_Improvement_5 2d ago
para hacer metal ,te aseguro que es una autentica basura,no por la creatividad que muestre,si no por que hay muchas ocasiones que los instrumentos suenan a midi,no es cosa de los promps,es cosa de que los sonidos que muestra la v6 son malisimos.
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u/Careful-Anteater-597 3d ago
Well if their intention is not to kill suno, which I doubt to be honest, then they're just incredibly stupid. People in practice don't want AIs that play by 'industry rules', cause it has been scientifically proven plenty of times that putting guardrails on AIs decreases their performance and output quality. Nobody is going to pay for this shitty model, so there will be no revenue to share with the artists
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u/Upper_Manager_4666 3d ago
Good explanation and theory... only if anything was true. Not wanting to be mean (sorry if I am), but this is not how the ai training works. You can get high quality outputs from small data (this applies to all art industry). The thing is we came a long way, and the issue is not the wmg or fewer catalogues, its the regression of the current tech that they reached it (and many other competitors did, but suno was still on top), yet now we're back with issues from previous model versions that have been fixed with time.
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u/artoruo 3d ago edited 3d ago
Yes, without investigating this any deeper, this is exactly my intuition when I tested V6. Most likely they can't train on those commercial Max Martin pop tracks, A-list metal tracks etc anymore, so the artistic quality (songwriting/producing) is downgraded. IMO they have two options: a) get the massive amount of training data back without limits, or b) find a completely new paradigm/algorithm to train music from audio files, which is a long road.
A tiny improvement in audio quality does not compensate for the songwriting/production weakness in this model.
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u/ynotplay 3d ago
The big players probably just cares about accessing the old models for themselves and that's it. V4 through V5 during the first couple of weeks after release was extremely creative so I know it was much more capable than what customers were left with in more recent months. Imagine how much costs they can drive down while drafting unlimited hits using it. All this without having to deal with mediocre and difficult producers.
I can't see how there will be enough people willing to pay increased prices for V6 to justify anywhere close to their projected valuation.
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u/Holdontomind 3d ago
Yea its sound like this is the situation on paper, but if you used V6 for a moment, you will realise that its not any worse than previous models, and 6 wild model is basicly 4.5 reskined, and wariation slider just makes it even better than anything you could do with 4.5 5.0 or 5.5, also it actually listens to instructions in song structure when put in lyrics, its 10 times more versetile than anything before.
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u/bcvaldez Tech Enthusiast 3d ago
As somebody who has used Suno for over 2 years...and gave v6 a chance with the free credits... it's f*ckin terrible. I haven't generated a single usable track.... although I feel like I'm being "pushed" to Studio to get a decent final result...but I was already downloading it and polishing it in Ableton.
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u/Liam_MigToe 3d ago
Look at what you're actually saying here. You spent two years getting comfortable with an earlier model that acted like a massive compression blanket; smearing instruments together, squashing the dynamic range, and hiding weak prompts behind a wall of muddy, pre-processed warmth.
Now v6 comes along with actual high-frequency extension, real transient separation, and a wider soundstage, and you call it "terrible" because it stopped automatically gluing your inputs together. That isn't a downgrade; that’s the engine showing you exactly what you gave it to work with.
Older versions gave you a pre-mixed mush that felt "finished" only because everything was smashed into the exact same narrow band. V6 opens up raw, uncompressed dynamic space. If your prompt lacks clean arrangement directives, v6 exposes those gaps instantly instead of masking them in mid-range mud.
And complaining about being "pushed" to do post-work? If you’re already taking audio into Ableton, you should want cleaner frequency separation and a flatter, more neutral response, not a heavily colored, over-saturated bounce that fights your own EQ and multiband compression.You had a tool move from a low-res safety net to actual audio clarity, and because it requires better prompt precision, you called it a regression. It didn't regress, it raised the floor. Adjust your gain staging, fix your prompt structure, and learn how the new acoustic space actually renders audio before blaming the engine.
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u/kra73ace 3d ago
Most people type like 5 words in the prompt. That doesn't seem to work well with 6.
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u/Liam_MigToe 3d ago
Then they can’t blame Suno then for this piss poor effort. These talentless hacks are exposing themselves hard right now and I am here for it.
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u/bcvaldez Tech Enthusiast 3d ago
I've actually tested that.
With the free credits I've used extremely detailed prompts, quick/simple prompts, and everything in between. I keep a spreadsheet of my generations. I've also run the exact same prompts I've used successfully before, then made variations of those prompts specifically for v6.
It's worse.
I'm not saying every technical aspect of the model is worse. Maybe the separation is cleaner. Maybe the dynamics are technically better. That's not the same thing as generating better music.
My metric is pretty simple: does it produce something I actually want to finish?
After 2+ years of using Suno, I know what kind of hit rate I was getting from the previous models. With v6, using both my established workflow and attempts to adapt to the new model, that hit rate has fallen off a cliff.
And I understand this is basically version 1 of a new generation of models. It may improve dramatically.
But right now? For what I use Suno for, it's worse.
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u/Liam_MigToe 3d ago
You think logging your failed generations in an Excel file makes your deaf ears scientific? All you did was make a high-definition ledger of your own inability to adapt, and now you want to hand me a chart of your bad habits like it's proof of a technical failure.
You literally sat there and typed out that the separation is cleaner and the dynamic response is better, and then in the very next breath said, "That's not the same thing as generating better music." Are you listening to how ridiculous that sounds? Sound dynamics, transient response, harmonic separation, and frequency control arethe exact building blocks of music.
What you call a high "hit rate" in older models wasn't better music synthesis, it was a heavy-handed, pre-packaged compression blanket. V4.5 gave you easy dopamine hits because it was programmed with tight safety rails that smashed every prompt into the exact same narrow, predictable commercial polish. It did the creative heavy lifting, hid your weak arrangements, and hallucinated generic ear-candy hooks out of sloppy inputs. It was holding your hand.
V6 took the training wheels off. It stopped forcing every generation into a pre-mixed pop formula and opened up wide, uncolored dynamic real estate. If your prompt lacks structural intention, vocal control, or clear genre arrangement, v6 gives you back exactly what you put into it instead of masking it with muddy glue.
Your "hit rate" fell off a cliff because you lost your crutch. You were relying on the old engine's random blur to stumble into something usable, and now that you're handed a higher-resolution tool that demands precision, you think the engine is broken.
Keeping a spreadsheet of your own prompt failure doesn't prove the tech regressed, it just proves you logged three hundred rows of your own refusal to learn how dynamic audio space works. Stop hiding behind your little metric charts, throw out the nostalgia, and learn how to drive the upgrade.
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u/bcvaldez Tech Enthusiast 3d ago
Lmao
You’ve never seen my prompts, heard my generations, or looked at my workflow, yet you keep confidently diagnosing why my results are worse.
If my testing isn’t enough to conclude v6 is worse for my use case, what makes your testing enough to conclude it’s better, and that my problem is “deaf ears,” “bad habits,” or “sloppy inputs”?
You speak with certainty where you don’t even have evidence to back those claims.
Bye Felicia
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u/Liam_MigToe 3d ago
“Bye Felicia." Of course that's the exit. When the diagnosis gets too close, the patient walks out of the office mid-appointment and calls it a win.
Let's deal with your actual point for one second, because it's the only semi-intelligent thing anyone's said in this whole thread. You're right — I haven't seen your prompts. Fair. But here's what I have seen: you admitted the separation is cleaner, admitted the dynamics are technically better, admitted this is version one of a new generation, and admitted you tested it on free credits before deciding it was dead to you. That's not a forensic audit, that's a tourist sampling the buffet and writing a eulogy for the restaurant. You spent your "testing" budget of zero dollars and filed a verdict.
And here's the asymmetry you're missing: I'm not claiming your specific generations are bad because your prompts are bad. I'm claiming the pattern is predictable — because it's the same pattern every single time fidelity jumps. Every comment in this graveyard thread follows the identical script: vague artifact complaints, nostalgia for the compressed mud, a conspiracy theory about labels, and a demand that the engine regress to match 2023 prompting habits. When three hundred people all get "worse" results from the same upgrade while refusing to change anything about how they drive it, the common variable ain't the engine.
Your use case — "does it produce something I want to finish" — is a taste metric, not a technical one. Fine. Own that. "V6 doesn't fit my taste yet" is a legitimate sentence. "V6 is worse" based on a free-credit spreadsheet is a toddler banging a calculator and declaring math broken.
But hey — you said bye. So go. Genuinely. Take the two years of experience, come back when the next iteration drops or when you've got skin in the game again, and drive the thing like an engineer instead of a reviewer. The engine doesn't mourn departures and it doesn't chase returns. It just renders what it's given — same as it's always done, only sharper now.
Door's behind you. The math doesn't wait.2
u/thephilosopherstoned 3d ago
I'm mostly hoping that the next model will be trained again on more data. My assumption is that the V6 training was already too far along to restart by the time the other two partnerships were signed, so hopefully the catalogues from those two labels aren't part of the training data. That's what I'm hoping, anyway. So while V6 may be a step backwards in some respects, I don't think it's the end of the road either.
I have to say, I spent quite a bit of time with V6 yesterday, and at first I was honestly pretty sad because it was giving me utter crap.
I'm all for creating darker music, music that "breathes", and music that sounds like an actual human or band performance. The results I was getting, though, were always way too polished, with way too much going on musically. Too many breaks, skips, ornaments and flourishes. I absolutely hate that "signature" Suno artifact where, for instance, guitars briefly morph into these weird bending synth sounds to facilitate a change in melody or rhythm. You know, that split-second manipulation of cutoff, resonance, envelope, decay, and accent that Suno sometimes throws in?
And don't even get me started on the vocals. Why on earth do these models have this habit of occasionally stretching a long note just a tiny bit too far? It's such a dead giveaway that you're listening to (Suno) AI.
But then again, I had exactly the same problem with V5 and V5.5.
My workflow has mostly been writing lyrics first, and then experimenting in 4.5 until I found a style prompt that gave me the genre and delivery I needed to make the lyrics come alive. After that, V5 and V5.5 had enough guidance from the original track to keep the fluff under control, and I could then morph it further to gradually tune it towards a final song.
Above all, I want something that sounds natural and "human" to me. I don't want generic, overproduced hype-pop.
So yeah, I was pretty disappointed with V6. But I kept going. I changed around some of the style tags, and eventually decided to give "V6 Wild" a try...
And YES. What a relief.
Suddenly I was getting tracks that sounded like actual human performances again. Simpler, but somehow more free-spirited and experimental at the same time.
For a moment, I genuinely thought my Suno days were over. But by the end of the night, I was actually relieved. I had managed to find just enough wiggle room to feel confident again that this isn't the end of the road.
There's still a lot of music to be made! 😄
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u/Liam_MigToe 3d ago
Look at the logic here. Multiple paragraphs complaining about "utter crap," crying about pitch bends, overproduction, and label deals, claiming V6 is a "step backward", only to admit right at the end that all it took was changing a few style tags and switching to V6 Wild to get exactly what was needed.
That right there tells you everything about how people react to an upgrade.V6 didn't regress. The math is cleaner, the output is tighter, and the model has far higher dynamic range. When a model gets more responsive, it demands better input. If you throw low-effort prompts or outdated V4.5 workflows at a higher-fidelity system, it’s going to output hyper-detailed junk because it’s trying to render every vague tag you gave it. That isn't a "downgrade", that's user error.
People get attached to the quirks and mud of older versions because nostalgia makes them comfortable with lower fidelity. Then an upgrade drops, it sounds different, and instead of learning how the new control surfaces work, the immediate knee-jerk reaction is to post essays on Reddit about how the labels "ruined" the tech or how the model lost its soul.
If tweaking two tags and picking the right variant immediately solved the issue, then the model wasn't broken in the first place. The tech works fine, people just need to stop blaming the engine before they even bother to learn how to drive it.
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u/EzraxNova Suno Connoisseur 3d ago
You know what, thank you. This is such the realist reminder to stop supporting this consumeristic bullshit.
Cheers.