Bland, the San Francisco voice-AI company, has released Tofu-1, a full-duplex speech-to-speech model in research preview. The Tofu-1 speech-to-speech model targets calls from moving cars, hospital rooms and weak-signal lines. It listens while it speaks and reasons while it talks. For phone-agent teams, one model now handles audio in and audio out, with no transcript between. You can check the deployment options and specs here through our GPULeaderboard.com chrome extension.
What is Tofu-1?
Tofu-1 is a full-duplex speech-to-speech model from Bland that hears, reasons and replies in audio during phone calls. It is the first release in a planned family of Bland speech-to-speech models.
How does Tofu-1 differ from a cascade voice agent?
Most voice agents are cascades. They turn speech into text, pass it to a language model, then turn the reply back into speech. Tofu-1 listens to the audio directly, so tone, hesitation and background sound stay available to the model. Bland has not published the internal architecture.
Audio understanding
Bland lists 3 audio skills on its product page:
Speaker tracking: tells speakers apart and works out who each one is addressing.
Noise separation: separates voices from a crying child, a TV, highway traffic, a hospital intercom or keypad tones.
Paralinguistics: hears hesitation, frustration and urgency.
Full duplex and thinking while talking
Callers can interrupt or correct Tofu-1 mid-sentence. While it works on a request, it keeps the conversation moving. It reports the result only when the work is done. It never claims a task is finished early.
Scene generation
Because Tofu-1 models the sound of a call, it can also produce one. That includes a second speaker, the room around them and line noise.
What is Bland’s ‘TV Test’?
The TV Test asks one question: can the model follow the caller while ignoring speech from another scene? TV audio is often louder than the caller. Bland marks its TV Test walkthrough as illustrative, not recorded model output.
How does Tofu-1 compare with other full-duplex models?
FeatureBland Tofu-1OpenAI GPT-Live-1NVIDIA NemotronLabs VoiceChat 11BBlock DessaTypeFull-duplex speech-to-speechFull-duplex voice modelFull-duplex speech-to-speechFull-duplex speech-to-speechParametersNot disclosedNot disclosed11BNot disclosedWeightsClosedClosedOpen (OpenMDW 1.1)Not releasedTraining dataMillions of hours of real conversationNot disclosed~550k hours audio plus textHuman speech only, no textHardwareBland-hostedOpenAI-hostedA100, H100, H200, B100, B200, RTX-6000MacBook Pro M4 Max or betterTurn-taking latencyNot disclosed0.798 s (FDB v1)448 ms (FDB)Not disclosedTool useKeeps talking while it worksDelegates to backend modelLive tool calling, 82.5% tool selection (FDB v3)Not disclosedAccessEnterprise research previewAPI and ChatGPTHugging Face checkpoint, NVIDIA containerResearch preview for safety researchers
Competitor figures come from each vendor’s own page. FDB results use different benchmark versions and are not directly comparable.
How can teams access Tofu-1?
Research preview access is open to a limited number of enterprises. Bland names banking, healthcare, insurance and government as target sectors. The sign-up form asks for monthly call volume, from under 1,000 to 50,000+.
Key Takeaways
Tofu-1 is Bland’s first full-duplex speech-to-speech model, built for noisy calls.
It hears audio directly: speakers, background noise and caller emotion.
The only number is self-reported: over 92% could not spot it in screenings.
No size, latency, pricing or benchmarks yet; rivals publish latency and tool-use scores.
Access is a closed enterprise preview, with Bland citing January availability.
Check out the Tofu-1 product page, the launch post on X and the research preview sign-up. You can check the deployment options and specs here through our GPULeaderboard.com chrome extension.
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The post Bland Launches Tofu-1, a Full-Duplex Speech-to-Speech Model for Calls appeared first on MarkTechPost.