Human-like AI avatars you can talk to instantly. Avatars that responds faster then you blink with natural speech and active listening. They smile, emote, and react like real people. Now OPEN SOURCE.
This is the 2nd launch from Avaturn Live. View more
AVTR-1 Real-Time Open Weights Model
Launched this week
The best real-time avatar model in the world is now open source with open weights. Take the model, tweak it, and use it at $0 cost. What's unique: our model listens while you speak — full-duplex; the avatar reacts in real-time, with minimal latency. • Every frame is generated, avoiding annoying animation loops from pre-rendered playback. • Full streaming infrastructure included so you can get started right away.
Free
Launch Team / Built With
Full-duplex with "minimal latency" and every-frame-generated is the hard combo — what's the actual end-to-end latency, and on what GPU? Open weights only matter if a small team can self-host without a rack of H100s, so the number that decides adoption is "real-time on a single 4090" versus "real-time only on datacenter silicon." Which is it today?
Avaturn Live
@sounak_bhattacharya A decent gaming GPU is enough to actually have a conversation with the avatar. Here is more info from our GH repo
Open-sourcing the weights for a real-time avatar model is a much bigger deal than the headline suggests. The closed-stack incumbents in this space charge per-minute and effectively gate experimentation to whoever can afford to burn API credits playing with use cases. I make finance educational content on Mod3Loop (YouTube) and the choice between "talking head on camera" and "avatar reading a script" has been completely blocked on per-minute cost economics for indie creators — free weights changes that math entirely. Full-duplex listening while speaking is the unsexy part that actually makes these feel like presence rather than playback.
Avaturn Live
@samir_asadov Really appreciate this perspective and fully agree. The per-minute pricing model makes experimentation almost impossible for indie creators.
And yes, the active listening part is underrated. That’s what makes it feel like an actual interaction instead of just a generated video.
What GPU is needed?
Yolk
@solodnev Multiple GPUs supported here is example from Github repo
GPU
Latency / 5-frame chunk
Real-time factor
L40
84 ms
2.4×
A100
91 ms
2.2×
RTX 4060 Ti
166 ms
1.2×
RTX 3070
181 ms
1.1×
L4
202 ms
0.99×
RTX 3060 Ti
206 ms
0.97×
RTX 4060
232 ms
0.86×
the active listening part is what separates this from every other avatar tool. current ones just talk at you with dead eyes while you wait. if the expression matching actually works in real time this changes how you build AI sales and onboarding flows
Avaturn Live
@tina_chhabra Thanks Tina! Yes, this is our differentiator, thanks for commenting on this!
Scade.pro
How is it different from Tavus or HeyGen?
Yolk
@maria_anosova are you using Tavus or Heygen? Like daily? Speaking with them for hours? I guess not. The new model is trying to achieve this. Better avatars, that you can speak naturally, and by open sourcing it - you can install it on your device at $0 , which is attractive price I guess. But more importantly, we open source so anyone can contribute so this model moves faster on development towards inflection point where you will feel that avatars are just like human
Avaturn Live
Hey guys! We are so excited to show you our new model: avatars became even more realistic and reactive. The awesome thing is that active listening is now at another level: avatars are reacting to your speech like a real person. If you are not a technical person like me, you can simply go to our website and talk to our avatars to see how cool that is! If you are a developer yourself, check out our github: we opened our model!
mailX by mailwarm
@ekulianova I just spoke with Ben. When you say it’s open source, can we create other characters, or do we have to use the ones you already have?
Avaturn Live
@bengeekly Yes, you can create your characters
Daily.co
Really great to see truly open models for realtime video (and a nice technical overview post). Congratulations on the launch, team!
Yolk
@kwindla Thanks! Very happy about our collaboration with Pipecat, Github repo and Avaturn.live API both are happily running on it:)