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https://huggingface.co/datasets/Fullduplex-ai/catalog/resolve/main/data/models.jsonl
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46.2 kB
| {"slug":"tml-interaction-small","name":"TML-Interaction-Small","vendor":"Thinking Machines Lab","tagline":"276B-A12B mixture-of-experts interaction model with VAD-free, time-aligned 200 ms micro-turns across audio, video, and text — Thinking Machines Lab's first public voice release.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-05","first_response_ms":400,"open_weights":false,"license":null,"commercial_use":"unclear","languages":["en"],"status":"preview","benchmarks":["fdb-v15","audio-multichallenge"],"url":"https://thinkingmachines.ai/blog/interaction-models/","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/tml-interaction-small"} | |
| {"slug":"moshi","name":"Moshi","vendor":"Kyutai","tagline":"A 7B speech-text foundation model that generates user and assistant audio streams in parallel.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2024-09","first_response_ms":160,"open_weights":true,"license":"Apache-2.0 (code) / CC-BY-4.0 (weights)","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":["fdb-v1","big-bench-audio","talking-turns","duplexact","turnbench"],"url":"https://kyutai.org/blog/2024-09-18-moshi-release/","paper_url":"https://arxiv.org/abs/2410.00037","repo_url":"https://github.com/kyutai-labs/moshi","page_url":"https://www.fullduplex.ai/models/moshi"} | |
| {"slug":"glm-4-voice","name":"GLM-4-Voice","vendor":"Zhipu AI (Z.ai)","tagline":"An end-to-end Chinese/English speech LM that exposes tone, dialect, and emotion as instructions.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2024-10","first_response_ms":null,"open_weights":true,"license":"Apache-2.0 (code) / GLM-4 licence (weights; commercial use after registration)","commercial_use":"unclear","languages":["zh","en"],"status":"current","benchmarks":[],"url":"https://github.com/zai-org/GLM-4-Voice","paper_url":"https://arxiv.org/abs/2412.02612","repo_url":"https://github.com/zai-org/GLM-4-Voice","page_url":"https://www.fullduplex.ai/models/glm-4-voice"} | |
| {"slug":"sesame-csm","name":"Sesame CSM","vendor":"Sesame AI","tagline":"The conversational speech model everyone called \"uncanny-valley-free.\"","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-03","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":[],"url":"https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice","paper_url":null,"repo_url":"https://github.com/SesameAILabs/csm","page_url":"https://www.fullduplex.ai/models/sesame-csm"} | |
| {"slug":"kimi-audio","name":"Kimi-Audio","vendor":"Moonshot AI","tagline":"A 7B audio foundation model covering ASR, AQA, audio QA, and end-to-end voice chat in one net.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-04","first_response_ms":null,"open_weights":true,"license":"MIT (Apache-2.0 for code derived from Qwen2.5-7B)","commercial_use":"yes","languages":["zh","en"],"status":"current","benchmarks":["voicebench","mmar","air-bench"],"url":"https://github.com/MoonshotAI/Kimi-Audio","paper_url":"https://arxiv.org/abs/2504.18425","repo_url":"https://github.com/MoonshotAI/Kimi-Audio","page_url":"https://www.fullduplex.ai/models/kimi-audio"} | |
| {"slug":"personaplex","name":"PersonaPlex","vendor":"NVIDIA (ADLR)","tagline":"7B full-duplex speech LM with hybrid voice + text prompts — any role, any voice, on top of Moshi.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-01","first_response_ms":170,"open_weights":true,"license":"MIT (code) / NVIDIA Open Model License (weights)","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":["fdb-v1"],"url":"https://research.nvidia.com/labs/adlr/personaplex/","paper_url":"https://arxiv.org/abs/2602.06053","repo_url":"https://github.com/NVIDIA/PersonaPlex","page_url":"https://www.fullduplex.ai/models/personaplex"} | |
| {"slug":"minicpm-o-4-5","name":"MiniCPM-o 4.5","vendor":"OpenBMB / ModelBest","tagline":"9B on-device omni-modal LLM with full-duplex speech + vision streaming, targeting Gemini 2.5 Flash quality on a laptop.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-02","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","zh","+30"],"status":"current","benchmarks":["videofdb","duplexact","multipartyturnbench"],"url":"https://github.com/OpenBMB/MiniCPM-o","paper_url":"https://arxiv.org/abs/2604.27393","repo_url":"https://github.com/OpenBMB/MiniCPM-o","page_url":"https://www.fullduplex.ai/models/minicpm-o-4-5"} | |
| {"slug":"salmonn-omni","name":"SALMONN-omni","vendor":"ByteDance · Tsinghua · Cambridge","tagline":"First standalone codec-free full-duplex speech LLM — no audio tokens in the vocabulary, RL-trained for barge-in.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-11","first_response_ms":null,"open_weights":false,"license":"Apache-2.0 (code)","commercial_use":"unclear","languages":["en"],"status":"current","benchmarks":[],"url":"https://github.com/bytedance/SALMONN","paper_url":"https://arxiv.org/abs/2505.17060","repo_url":"https://github.com/bytedance/SALMONN","page_url":"https://www.fullduplex.ai/models/salmonn-omni"} | |
| {"slug":"step-audio-2-mini","name":"Step-Audio 2 mini","vendor":"StepFun","tagline":"End-to-end multimodal audio LLM for speech conversation with expressive TTS and tool / search integration.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-08","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["zh","en"],"status":"current","benchmarks":["big-bench-audio","voicebench","uro-bench"],"url":"https://github.com/stepfun-ai/Step-Audio2","paper_url":"https://arxiv.org/abs/2507.16632","repo_url":"https://github.com/stepfun-ai/Step-Audio2","page_url":"https://www.fullduplex.ai/models/step-audio-2-mini"} | |
| {"slug":"covo-audio-chat","name":"Covo-Audio-Chat / Covo-Audio-Chat-FD","vendor":"Tencent","tagline":"7B end-to-end audio LLM with a native full-duplex variant — tri-modal speech-text interleaving and dual-stream listen-and-speak.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-03","first_response_ms":null,"open_weights":true,"license":"Covo-Audio licence (academic use only)","commercial_use":"research-only","languages":["zh","en"],"status":"preview","benchmarks":["uro-bench","voicebench"],"url":"https://github.com/Tencent/Covo-Audio","paper_url":"https://arxiv.org/abs/2602.09823","repo_url":"https://github.com/Tencent/Covo-Audio","page_url":"https://www.fullduplex.ai/models/covo-audio-chat"} | |
| {"slug":"llama-omni2","name":"LLaMA-Omni 2","vendor":"ICT / CAS (ictnlp)","tagline":"Qwen2.5-based real-time spoken chatbot series (0.5B–14B) with autoregressive streaming speech synthesis.","category":"speech-lm-fd","duplex_type":"half-duplex","full_duplex":false,"released":"2025-04","first_response_ms":583,"open_weights":true,"license":"Apache-2.0 (code) / academic research only (weights)","commercial_use":"research-only","languages":["en"],"status":"current","benchmarks":["voicebench"],"url":"https://github.com/ictnlp/LLaMA-Omni2","paper_url":"https://arxiv.org/abs/2505.02625","repo_url":"https://github.com/ictnlp/LLaMA-Omni2","page_url":"https://www.fullduplex.ai/models/llama-omni2"} | |
| {"slug":"realtime-venus","name":"Realtime-Venus","vendor":"Ant Group (inclusionAI)","tagline":"Two open 9B full-duplex models, one audio-visual and one speech-only, that keep talking while a background harness runs reasoning and tools.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","zh"],"status":"current","benchmarks":["fdb-v15"],"url":"https://realtime-venus.github.io/","paper_url":"https://arxiv.org/abs/2609.13814","repo_url":"https://github.com/inclusionAI/Realtime-Venus","page_url":"https://www.fullduplex.ai/models/realtime-venus"} | |
| {"slug":"duplexomni","name":"DuplexOmni","vendor":"Xi'an Jiaotong University / Peking University / Meituan","tagline":"Open full-duplex omni model that listens and watches in 480 ms slices, answers in speech in real time, and hands hard questions to a pluggable thinking layer.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-07","first_response_ms":506,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["zh","en"],"status":"preview","benchmarks":["big-bench-audio"],"url":"https://huggingface.co/MuyeHuang/DuplexOmni","paper_url":"https://arxiv.org/abs/2606.09186","repo_url":"https://github.com/MuyeHuang/DuplexOmni","page_url":"https://www.fullduplex.ai/models/duplexomni"} | |
| {"slug":"nemotronlabs-voicechat","name":"NVIDIA NemotronLabs VoiceChat 11B","vendor":"NVIDIA","tagline":"Open 11B full-duplex speech model on a Nemotron Nano v2 backbone, with a separate output channel for tool calls so it keeps talking while tools run.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-08","first_response_ms":448,"open_weights":true,"license":"OpenMDW-1.1","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":["fdb-v1","voicebench","fdb-v3"],"url":"https://huggingface.co/nvidia/NVIDIA-NemotronLabs-VoiceChat-11B","paper_url":"https://arxiv.org/abs/2609.21967","repo_url":"https://github.com/NVIDIA-NeMo/Speech/tree/nemotron-labs-voicechat","page_url":"https://www.fullduplex.ai/models/nemotronlabs-voicechat"} | |
| {"slug":"raon-speechchat","name":"Raon-SpeechChat-9B","vendor":"KRAFTON","tagline":"Open 9B English full-duplex speech model with a dedicated backchannel token, speak-first or listen-first modes, and voice conditioning.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-04","first_response_ms":null,"open_weights":true,"license":"CC-BY-NC-4.0","commercial_use":"non-commercial","languages":["en"],"status":"current","benchmarks":["duplexact"],"url":"https://huggingface.co/KRAFTON/Raon-SpeechChat-9B","paper_url":"https://arxiv.org/abs/2605.23912","repo_url":"https://github.com/krafton-ai/Raon-Speech","page_url":"https://www.fullduplex.ai/models/raon-speechchat"} | |
| {"slug":"lychee-fd","name":"Lychee-FD","vendor":"HITsz-TMG","tagline":"Open full-duplex speech model that keeps listening, understanding, speaking and interaction control in one model, with acoustic and semantic information modelled in separate layers.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-07","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["zh","en"],"status":"current","benchmarks":["duplexact"],"url":"https://github.com/HITsz-TMG/Lychee-FD","paper_url":"https://arxiv.org/abs/2607.06540","repo_url":"https://github.com/HITsz-TMG/Lychee-FD","page_url":"https://www.fullduplex.ai/models/lychee-fd"} | |
| {"slug":"gander","name":"Gander","vendor":"Omni-Interaction-Gander","tagline":"Open multimodal duplex interaction model built on MiniCPM-o 4.5 that listens and speaks while also taking in images and video.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://github.com/Omni-Interaction-Gander/Omni-Interaction-Agent","paper_url":"https://arxiv.org/abs/2609.08977","repo_url":"https://github.com/Omni-Interaction-Gander/Omni-Interaction-Agent","page_url":"https://www.fullduplex.ai/models/gander"} | |
| {"slug":"bayling-duplex","name":"BayLing-Duplex","vendor":"ICT, Chinese Academy of Sciences","tagline":"Native full-duplex speech dialogue in a single autoregressive LLM, with turn-taking handled by dialogue-state tokens instead of a VAD.","category":"speech-lm-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-06","first_response_ms":null,"open_weights":true,"license":"glm-4-voice License (commercial use after registration)","commercial_use":"yes","languages":[],"status":"current","benchmarks":["duplexact"],"url":"https://github.com/BayLing-Models/BayLing-Duplex","paper_url":"https://arxiv.org/abs/2606.14528","repo_url":"https://github.com/BayLing-Models/BayLing-Duplex","page_url":"https://www.fullduplex.ai/models/bayling-duplex"} | |
| {"slug":"openai-realtime","name":"OpenAI Realtime (gpt-realtime-2.1)","vendor":"OpenAI","tagline":"Realtime API reasoning voice model: gpt-realtime-2.1 updates gpt-realtime-2 with better alphanumeric recognition and steadier handling of silence, noise, and interruptions, plus a cheaper mini sibling.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-07","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","es","fr","+50"],"status":"current","benchmarks":["big-bench-audio","fdb-v1","audio-multichallenge","scale-voice-showdown","duplexact"],"url":"https://developers.openai.com/api/docs/models/gpt-realtime-2.1","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/openai-realtime"} | |
| {"slug":"gemini-live","name":"Gemini 2.5 Live","vendor":"Google DeepMind","tagline":"Legacy native-audio Live API model; Google shuts it down no earlier than 2026-11-17 and names Gemini 3.8 Live as the replacement.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-12","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","+21"],"status":"legacy","benchmarks":["big-bench-audio","talking-turns","videofdb"],"url":"https://ai.google.dev/gemini-api/docs/live","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gemini-live"} | |
| {"slug":"gemini-3-live","name":"Gemini 3.1 Flash Live Preview","vendor":"Google DeepMind","tagline":"Preview Live API snapshot on 3.1 Flash with proactive audio, native thinking, and tighter tool-call latency; Google shuts it down no earlier than 2026-11-17 and names Gemini 3.8 Live as the replacement.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-03","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","+21"],"status":"legacy","benchmarks":["big-bench-audio","talking-turns","videofdb","duplexact","turnbench"],"url":"https://ai.google.dev/gemini-api/docs/live","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gemini-3-live"} | |
| {"slug":"nova-2-sonic","name":"Amazon Nova 2 Sonic","vendor":"Amazon / AWS","tagline":"Bedrock-hosted GA speech-to-speech model — polyglot voices, 1M-token context, async tool calls, telephony-ready.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2025-12","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","es","fr","de","it","pt","hi"],"status":"current","benchmarks":[],"url":"https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-amazon-nova-2-sonic.html","paper_url":"https://cdn.amazon.science/c5/3d/84514a224666b5be6de4b43ef4aa/nova-2-0-technical-report2.pdf","repo_url":null,"page_url":"https://www.fullduplex.ai/models/nova-2-sonic"} | |
| {"slug":"nova-2-5-sonic","name":"Amazon Nova 2.5 Sonic","vendor":"Amazon / AWS","tagline":"Bedrock speech-to-speech model that succeeds Nova 2 Sonic at the same price, with claimed gains in reasoning, instruction following, and tool-calling accuracy.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-nova-2.5-sonic/","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/nova-2-5-sonic"} | |
| {"slug":"grok-voice-agent","name":"Grok Voice 3.0 (xAI Speech to Speech API)","vendor":"xAI","tagline":"xAI's speech-to-speech API, now on Grok Voice 3.0: 20+ languages, $0.08 per minute, wire-compatible with the OpenAI Realtime API.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","es","fr","de","zh","ja","pt","+13"],"status":"current","benchmarks":["duplexact"],"url":"https://docs.x.ai/developers/model-capabilities/audio/voice-agent","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/grok-voice-agent"} | |
| {"slug":"gpt-live-1","name":"GPT-Live 1","vendor":"OpenAI","tagline":"OpenAI's full-duplex voice model: it listens and talks at the same time and hands reasoning and tool calls to a backend model or agent.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-07","first_response_ms":798,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":["fdb-v1","fdb-v15","fdb-v3","tau3-bench"],"url":"https://developers.openai.com/api/docs/models/gpt-live-1","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gpt-live-1"} | |
| {"slug":"gemini-3-8-live","name":"Gemini 3.8 Live","vendor":"Google DeepMind","tagline":"Google's GA Live API voice model: native audio in and out, camera and screen frames as input, and tool calls that run in the background while it keeps talking.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","+94"],"status":"current","benchmarks":["multipartyturnbench"],"url":"https://ai.google.dev/gemini-api/docs/models/gemini-3.8-live","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gemini-3-8-live"} | |
| {"slug":"seedrealtime","name":"SeedRealtime","vendor":"ByteDance Seed","tagline":"ByteDance Seed's audio-visual full-duplex model: it watches a live camera feed, decides when to speak without an external VAD, and runs video calls in the Doubao app.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-08","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"unclear","languages":[],"status":"current","benchmarks":[],"url":"https://seed.bytedance.com/en/blog/seedrealtime-audio-visual-full-duplex-llm-released-toward-omni-modal-natural-interaction","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/seedrealtime"} | |
| {"slug":"eleven-realtime","name":"Eleven Realtime (v1 Mini / v1 Max)","vendor":"ElevenLabs","tagline":"ElevenLabs' speech-to-speech models, each a complete voice agent: Mini for low-cost conversation, Max for reasoning and multi-step tool use, behind an OpenAI-Realtime-compatible API.","category":"assistant-fd","duplex_type":"cascade","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["90+"],"status":"current","benchmarks":[],"url":"https://elevenlabs.io/blog/realtime","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/eleven-realtime"} | |
| {"slug":"stepaudio-3-realtime","name":"StepAudio 3 Realtime","vendor":"StepFun","tagline":"StepFun's full-duplex realtime voice model on its open platform: the user and the model can speak at once, and it thinks while it speaks.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"unclear","languages":[],"status":"preview","benchmarks":[],"url":"https://platform.stepfun.ai/docs/en/guides/models/stepaudio-3-realtime","paper_url":"https://arxiv.org/abs/2609.14005","repo_url":null,"page_url":"https://www.fullduplex.ai/models/stepaudio-3-realtime"} | |
| {"slug":"qwen-audio-realtime","name":"Qwen-Audio Realtime (3.0 / 3.1)","vendor":"Alibaba Cloud","tagline":"Alibaba Cloud Model Studio's duplex speech models for voice conversation, served over WebSocket, AOQ, or WebRTC with system voices and voice cloning.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-08","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["zh","en","ja","ko","de","es","fr","id","it","pt","ru","th","vi","ar"],"status":"current","benchmarks":[],"url":"https://www.alibabacloud.com/help/en/model-studio/qwen-audio-realtime-user-guides","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/qwen-audio-realtime"} | |
| {"slug":"qwen-omni-realtime","name":"Qwen-Omni Realtime (Qwen3.8-Omni-Flash-Realtime)","vendor":"Alibaba Cloud","tagline":"Alibaba Cloud Model Studio's realtime omni API: live audio and video in, speech and text out, with function calling and web search.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["113"],"status":"current","benchmarks":[],"url":"https://www.alibabacloud.com/help/en/model-studio/realtime","paper_url":"https://arxiv.org/abs/2609.25611","repo_url":null,"page_url":"https://www.fullduplex.ai/models/qwen-omni-realtime"} | |
| {"slug":"phonic-1","name":"Phonic-1","vendor":"Phonic","tagline":"Phonic's speech-to-speech model for agentic voice tasks, served through its API and agent builder in 51 languages.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["51"],"status":"current","benchmarks":["tau3-bench"],"url":"https://phonic.ai/blog/phonic-1","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/phonic-1"} | |
| {"slug":"higgs-realtime","name":"Higgs Realtime","vendor":"Boson AI","tagline":"Boson AI's audio-native realtime model and API, compatible with the OpenAI Realtime API and speaking 100+ languages.","category":"assistant-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-08","first_response_ms":700,"open_weights":false,"license":null,"commercial_use":"yes","languages":["100+"],"status":"current","benchmarks":[],"url":"https://www.boson.ai/blog/higgs-realtime","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/higgs-realtime"} | |
| {"slug":"rime-prism","name":"Rime Prism","vendor":"Rime","tagline":"Rime's speech-to-speech model for voice agents: it reasons over the caller's audio and produces text you can check before it is spoken.","category":"assistant-fd","duplex_type":"half-duplex","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en"],"status":"current","benchmarks":[],"url":"https://www.rime.ai/prism","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/rime-prism"} | |
| {"slug":"elevenlabs-agents","name":"ElevenLabs Agents (ElevenAgents)","vendor":"ElevenLabs","tagline":"The TTS incumbent's turnkey agent platform — turn-taking, RAG, and telephony pre-wired.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2025-05","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["90+"],"status":"current","benchmarks":[],"url":"https://elevenlabs.io/conversational-ai","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/elevenlabs-agents"} | |
| {"slug":"vapi","name":"Vapi","vendor":"Vapi","tagline":"Developer-first orchestration layer for inbound/outbound voice agents with BYO models.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2023-07","first_response_ms":500,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","es","+100"],"status":"current","benchmarks":[],"url":"https://vapi.ai","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/vapi"} | |
| {"slug":"retell-ai","name":"Retell AI","vendor":"Retell","tagline":"Low-latency voice agent API built for call-centre workloads and SIP carriers.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2024-02","first_response_ms":600,"open_weights":false,"license":null,"commercial_use":"yes","languages":["55+"],"status":"current","benchmarks":[],"url":"https://retellai.com","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/retell-ai"} | |
| {"slug":"deepgram-voice-agent","name":"Deepgram Voice Agent","vendor":"Deepgram","tagline":"STT+TTS incumbent's agent API using Nova-3 / Flux for transcription and Aura-2 for voice.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2024-12","first_response_ms":425,"open_weights":false,"license":null,"commercial_use":"yes","languages":["60+"],"status":"current","benchmarks":[],"url":"https://deepgram.com/product/voice-agents","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/deepgram-voice-agent"} | |
| {"slug":"bland","name":"Bland","vendor":"Bland AI","tagline":"Turnkey voice-agent platform for inbound and outbound telephony with web agents and an API.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2023-11","first_response_ms":200,"open_weights":false,"license":null,"commercial_use":"yes","languages":["40+"],"status":"current","benchmarks":[],"url":"https://www.bland.ai","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/bland"} | |
| {"slug":"polyai-dialog-rsn-1","name":"PolyAI Dialog-RSN-1","vendor":"PolyAI","tagline":"Audio-in, text-out dialog model that folds turn-taking, speech recognition, reasoning, and tool calls into one model and leaves speech output to a separate TTS.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2026-07","first_response_ms":300,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en"],"status":"current","benchmarks":[],"url":"https://poly.ai/blog/PolyAI-dialog-rsn-1","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/polyai-dialog-rsn-1"} | |
| {"slug":"assemblyai-voice-agent-api","name":"AssemblyAI Voice Agent API","vendor":"AssemblyAI","tagline":"AssemblyAI's own speech understanding, LLM reasoning, and voice generation behind a single WebSocket; AssemblyAI is retiring it.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2026-04","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"legacy","benchmarks":[],"url":"https://www.assemblyai.com/docs/voice-agents/voice-agent-api","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/assemblyai-voice-agent-api"} | |
| {"slug":"mistral-voice-agents","name":"Mistral Voice Agents (Voxtral 3)","vendor":"Mistral AI","tagline":"Mistral's voice agent SDK and API: Voxtral realtime transcription with end-of-turn detection, a Mistral model, and Voxtral TTS in one streaming pipeline.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://docs.mistral.ai/studio/audio/voice-agents/overview","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/mistral-voice-agents"} | |
| {"slug":"cartesia-managed-agents","name":"Cartesia Managed Agents","vendor":"Cartesia","tagline":"Cartesia's hosted voice-agent platform, with listening, turn-taking, tool calls and speech tuned together around the LLM of your choice.","category":"voice-agent-platform","duplex_type":"cascade","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://cartesia.ai/blog/managed-agents","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/cartesia-managed-agents"} | |
| {"slug":"livekit-agents","name":"LiveKit Agents","vendor":"LiveKit","tagline":"Open agent framework on top of the LiveKit WebRTC mesh — 50+ provider plugins, first-class FD.","category":"agent-framework","duplex_type":"cascade","full_duplex":false,"released":"2024-09","first_response_ms":null,"open_weights":false,"license":"Apache-2.0","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":[],"url":"https://github.com/livekit/agents","paper_url":null,"repo_url":"https://github.com/livekit/agents","page_url":"https://www.fullduplex.ai/models/livekit-agents"} | |
| {"slug":"pipecat","name":"Pipecat","vendor":"Daily","tagline":"Python framework for voice agents with swappable ASR / LLM / TTS and sane defaults for turn-taking.","category":"agent-framework","duplex_type":"cascade","full_duplex":false,"released":"2023-12","first_response_ms":null,"open_weights":false,"license":"BSD-2-Clause","commercial_use":"yes","languages":["en"],"status":"current","benchmarks":[],"url":"https://pipecat.ai","paper_url":null,"repo_url":"https://github.com/pipecat-ai/pipecat","page_url":"https://www.fullduplex.ai/models/pipecat"} | |
| {"slug":"kyutai-unmute","name":"Kyutai Unmute","vendor":"Kyutai","tagline":"Open reference stack that gives any text LLM ears and a voice via delayed streams modelling.","category":"agent-framework","duplex_type":"cascade","full_duplex":false,"released":"2025-07","first_response_ms":null,"open_weights":true,"license":"MIT (code) / CC-BY-4.0 (weights)","commercial_use":"yes","languages":["en","fr"],"status":"current","benchmarks":[],"url":"https://github.com/kyutai-labs/unmute","paper_url":null,"repo_url":"https://github.com/kyutai-labs/unmute","page_url":"https://www.fullduplex.ai/models/kyutai-unmute"} | |
| {"slug":"hf-speech-to-speech","name":"HF speech-to-speech","vendor":"Hugging Face","tagline":"Modular reference pipeline that cascades VAD → ASR → LLM → TTS for local voice agents.","category":"agent-framework","duplex_type":"cascade","full_duplex":false,"released":"2024-08","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","fr","es","zh","ja","ko"],"status":"current","benchmarks":[],"url":"https://github.com/huggingface/speech-to-speech","paper_url":null,"repo_url":"https://github.com/huggingface/speech-to-speech","page_url":"https://www.fullduplex.ai/models/hf-speech-to-speech"} | |
| {"slug":"qwen-audio-agent","name":"Qwen Audio Agent","vendor":"QwenAudio","tagline":"Apache-2.0 realtime voice runtime that keeps a conversation going while a backend agent runs tools and longer tasks.","category":"agent-framework","duplex_type":"cascade","full_duplex":false,"released":"2026-07","first_response_ms":null,"open_weights":false,"license":"Apache-2.0","commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://github.com/QwenAudio/qwen-audio-agent","paper_url":"https://arxiv.org/abs/2609.25195","repo_url":"https://github.com/QwenAudio/qwen-audio-agent","page_url":"https://www.fullduplex.ai/models/qwen-audio-agent"} | |
| {"slug":"qwen2-5-omni","name":"Qwen2.5-Omni","vendor":"Alibaba Cloud","tagline":"End-to-end multimodal Qwen (text / image / audio / video in, text + speech out) with streaming response.","category":"audio-llm","duplex_type":"half-duplex","full_duplex":false,"released":"2025-03","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","zh","ja","ko","+"],"status":"legacy","benchmarks":["air-bench","voicebench"],"url":"https://github.com/QwenLM/Qwen2.5-Omni","paper_url":"https://arxiv.org/abs/2503.20215","repo_url":"https://github.com/QwenLM/Qwen2.5-Omni","page_url":"https://www.fullduplex.ai/models/qwen2-5-omni"} | |
| {"slug":"qwen3-omni","name":"Qwen3-Omni","vendor":"Alibaba Cloud","tagline":"Natively end-to-end omni-LLM (text / image / audio / video in, text + speech out).","category":"audio-llm","duplex_type":"full-duplex","full_duplex":true,"released":"2025-09","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","zh","ja","+16"],"status":"current","benchmarks":["big-bench-audio","voicebench","mmar","air-bench"],"url":"https://github.com/QwenLM/Qwen3-Omni","paper_url":"https://arxiv.org/abs/2509.17765","repo_url":"https://github.com/QwenLM/Qwen3-Omni","page_url":"https://www.fullduplex.ai/models/qwen3-omni"} | |
| {"slug":"ultravox","name":"Ultravox","vendor":"Ultravox (Inworld)","tagline":"Lightweight audio adapter that bolts onto open LLMs such as Llama, Qwen and GLM to give them ears without retraining.","category":"audio-llm","duplex_type":"half-duplex","full_duplex":false,"released":"2024-08","first_response_ms":null,"open_weights":true,"license":"MIT","commercial_use":"yes","languages":["en","+41"],"status":"current","benchmarks":[],"url":"https://www.ultravox.ai","paper_url":null,"repo_url":"https://github.com/fixie-ai/ultravox","page_url":"https://www.fullduplex.ai/models/ultravox"} | |
| {"slug":"lfm3-audio","name":"LFM3-Audio-2B / LFM3-Omni-2B","vendor":"Liquid AI","tagline":"Small open audio and omni models that run on laptops and edge devices: spoken questions in, streaming text and speech out.","category":"audio-llm","duplex_type":"half-duplex","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":true,"license":"LFM Open License v1.0","commercial_use":"unclear","languages":["en","+17"],"status":"current","benchmarks":[],"url":"https://www.liquid.ai/blog/lfm3","paper_url":null,"repo_url":"https://huggingface.co/LiquidAI/LFM3-Audio-2B","page_url":"https://www.fullduplex.ai/models/lfm3-audio"} | |
| {"slug":"apriel-voice","name":"Apriel Voice 27B Preview","vendor":"ServiceNow","tagline":"Open speech-in model for reasoning and tool use: it hears the user and returns text and tool calls, with speech synthesis left to the application.","category":"audio-llm","duplex_type":"half-duplex","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":true,"license":"MIT","commercial_use":"yes","languages":["en","+"],"status":"preview","benchmarks":["eva-bench","tau3-bench"],"url":"https://huggingface.co/ServiceNow-AI/Apriel-Voice-27B-preview","paper_url":"https://arxiv.org/abs/2610.40738","repo_url":"https://huggingface.co/ServiceNow-AI/Apriel-Voice-27B-preview","page_url":"https://www.fullduplex.ai/models/apriel-voice"} | |
| {"slug":"cartesia-sonic","name":"Cartesia Sonic-3.6","vendor":"Cartesia","tagline":"State-space TTS with ~90 ms time-to-first-audio and realistic non-verbal sounds.","category":"tts","duplex_type":"other","full_duplex":false,"released":"2026-08","first_response_ms":90,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","+41"],"status":"current","benchmarks":[],"url":"https://cartesia.ai/blog/sonic-3.6/","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/cartesia-sonic"} | |
| {"slug":"cosyvoice-2","name":"CosyVoice 2","vendor":"Alibaba Tongyi","tagline":"Open expressive TTS with strong zero-shot voice cloning across Japanese, Chinese, and English.","category":"tts","duplex_type":"other","full_duplex":false,"released":"2024-12","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["zh","en","ja","ko"],"status":"legacy","benchmarks":[],"url":"https://github.com/QwenAudio/CosyVoice","paper_url":"https://arxiv.org/abs/2412.10117","repo_url":"https://github.com/QwenAudio/CosyVoice","page_url":"https://www.fullduplex.ai/models/cosyvoice-2"} | |
| {"slug":"qwen3-tts","name":"Qwen3-TTS","vendor":"Alibaba Cloud","tagline":"Open streaming TTS successor to CosyVoice with voice cloning, voice design, and 10-language coverage.","category":"tts","duplex_type":"other","full_duplex":false,"released":"2026-01","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["en","zh","ja","ko","es","fr","de","it","ru","pt"],"status":"current","benchmarks":[],"url":"https://github.com/QwenLM/Qwen3-TTS","paper_url":"https://arxiv.org/abs/2601.15621","repo_url":"https://github.com/QwenLM/Qwen3-TTS","page_url":"https://www.fullduplex.ai/models/qwen3-tts"} | |
| {"slug":"moss-tts","name":"MOSS-TTS","vendor":"OpenMOSS (Fudan)","tagline":"Real-time streaming TTS family with voice cloning, multi-speaker dialogue, and sound generation.","category":"tts","duplex_type":"other","full_duplex":false,"released":"2026-02","first_response_ms":null,"open_weights":true,"license":"Apache-2.0","commercial_use":"yes","languages":["zh","en","de","+17"],"status":"current","benchmarks":[],"url":"https://github.com/OpenMOSS/MOSS-TTS","paper_url":"https://arxiv.org/abs/2603.18090","repo_url":"https://github.com/OpenMOSS/MOSS-TTS","page_url":"https://www.fullduplex.ai/models/moss-tts"} | |
| {"slug":"gemini-3-8-flash-tts","name":"Gemini 3.8 Flash TTS / Flash-Lite TTS","vendor":"Google DeepMind","tagline":"Google's GA text-to-speech pair in the Gemini API: Flash TTS for studio-grade expressive voice, Flash-Lite TTS for high-volume and real-time voice-agent cascades.","category":"tts","duplex_type":"other","full_duplex":false,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["100+"],"status":"current","benchmarks":[],"url":"https://aistudio.google.com/docs/models/gemini-3.8-flash-tts","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gemini-3-8-flash-tts"} | |
| {"slug":"seamless-m4t-v2","name":"SeamlessM4T v2","vendor":"Meta AI","tagline":"Direct speech-to-speech translation across 100+ languages, with weights in the open.","category":"s2st","duplex_type":"other","full_duplex":false,"released":"2023-11","first_response_ms":null,"open_weights":true,"license":"CC-BY-NC-4.0 (weights) / MIT (code)","commercial_use":"non-commercial","languages":["100+"],"status":"current","benchmarks":[],"url":"https://ai.meta.com/research/seamless-communication/","paper_url":"https://arxiv.org/abs/2312.05187","repo_url":"https://github.com/facebookresearch/seamless_communication","page_url":"https://www.fullduplex.ai/models/seamless-m4t-v2"} | |
| {"slug":"hibiki","name":"Hibiki","vendor":"Kyutai","tagline":"On-device high-fidelity simultaneous speech-to-speech translation — Moshi-style dual-stream for FR → EN, with voice transfer.","category":"s2st","duplex_type":"full-duplex","full_duplex":true,"released":"2025-02","first_response_ms":null,"open_weights":true,"license":"CC-BY-4.0 (weights) / Apache-2.0 & MIT (code)","commercial_use":"yes","languages":["fr","en"],"status":"current","benchmarks":[],"url":"https://kyutai.org/blog/2025-02-10-hibiki/","paper_url":"https://arxiv.org/abs/2502.03382","repo_url":"https://github.com/kyutai-labs/hibiki","page_url":"https://www.fullduplex.ai/models/hibiki"} | |
| {"slug":"gpt-realtime-translate","name":"GPT-Realtime-Translate","vendor":"OpenAI","tagline":"Closed-API live speech-to-speech translation alongside the Realtime API GA — 70+ input languages into 13 output languages at $0.034 / minute.","category":"s2st","duplex_type":"full-duplex","full_duplex":true,"released":"2026-05","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["en","ja","zh","es","fr","+65"],"status":"current","benchmarks":[],"url":"https://developers.openai.com/api/docs/models/gpt-realtime-translate","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gpt-realtime-translate"} | |
| {"slug":"qwen3-8-livetranslate","name":"Qwen3.8-LiveTranslate","vendor":"Alibaba Cloud","tagline":"Alibaba Cloud's simultaneous interpretation API: 60 languages, 29 of them with speech output, with speaker diarization.","category":"s2st","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["60"],"status":"current","benchmarks":[],"url":"https://www.alibabacloud.com/help/en/model-studio/qwen3-5-livetranslate-flash-realtime","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/qwen3-8-livetranslate"} | |
| {"slug":"eleven-realtime-translation","name":"Eleven Realtime Translation","vendor":"ElevenLabs","tagline":"ElevenLabs' live voice translation: each person speaks their own language and hears the other in theirs.","category":"s2st","duplex_type":"other","full_duplex":false,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["90+"],"status":"preview","benchmarks":[],"url":"https://elevenlabs.io/blog/realtime-translation","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/eleven-realtime-translation"} | |
| {"slug":"tavus-griffin-lite","name":"Griffin-Lite","vendor":"Tavus","tagline":"Research preview of Tavus Griffin: one real-time model that watches and hears the user, decides every sub-second whether to speak, react, or wait, and renders its own voice and 720p face.","category":"video-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-10","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"unclear","languages":[],"status":"preview","benchmarks":["videofdb"],"url":"https://www.tavus.io/griffin","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/tavus-griffin-lite"} | |
| {"slug":"gemini-3-8-live-avatar","name":"Gemini 3.8 Live with Live Avatar","vendor":"Google DeepMind","tagline":"Gemini 3.8 Live sessions that return a 24 FPS avatar video stream alongside the model's own speech, generally available in Gemini Enterprise.","category":"video-fd","duplex_type":"full-duplex","full_duplex":true,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["97"],"status":"current","benchmarks":[],"url":"https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-live-with-live-avatar/","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/gemini-3-8-live-avatar"} | |
| {"slug":"tavus-cvi","name":"Tavus CVI (Phoenix-4.5 / Sparrow-2 / Raven-1)","vendor":"Tavus","tagline":"Tavus's production video-agent stack: camera perception, its own turn-taking model, STT, LLM, TTS, and a real-time face that keeps reacting while the user talks.","category":"video-fd","duplex_type":"cascade","full_duplex":false,"released":"2026-09","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":["42+"],"status":"current","benchmarks":["turnbench"],"url":"https://docs.tavus.io/sections/conversational-video-interface/overview-cvi","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/tavus-cvi"} | |
| {"slug":"runway-characters","name":"Runway Characters","vendor":"Runway","tagline":"Real-time video agent API on Runway's GWM-1 world model: one image becomes a conversational character that keeps expressing while it speaks and listens.","category":"video-fd","duplex_type":"cascade","full_duplex":false,"released":"2026-03","first_response_ms":1750,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://runway.com/news/introducing-runway-characters","paper_url":null,"repo_url":null,"page_url":"https://www.fullduplex.ai/models/runway-characters"} | |
| {"slug":"heygen-liveavatar","name":"HeyGen LiveAvatar (FULL mode)","vendor":"HeyGen","tagline":"HeyGen's real-time avatar service; in FULL mode HeyGen runs speech detection, the LLM, TTS, and turn management, and switches the avatar into a listening state.","category":"video-fd","duplex_type":"cascade","full_duplex":false,"released":"2025-11","first_response_ms":null,"open_weights":false,"license":null,"commercial_use":"yes","languages":[],"status":"current","benchmarks":[],"url":"https://www.liveavatar.com/","paper_url":null,"repo_url":"https://github.com/heygen-com/liveavatar-web-sdk","page_url":"https://www.fullduplex.ai/models/heygen-liveavatar"} | |
| {"slug":"avtr-1","name":"AVTR-1","vendor":"Avaturn","tagline":"Open stack for real-time interactive avatars: a 153M-parameter motion model conditioned on both speakers' audio, so the face listens back while an external voice agent runs the turns.","category":"video-fd","duplex_type":"cascade","full_duplex":false,"released":"2026-05","first_response_ms":null,"open_weights":true,"license":"AVTR-1 Community License (weights) / PolyForm Noncommercial 1.0.0 (renderer, streamer)","commercial_use":"unclear","languages":[],"status":"current","benchmarks":[],"url":"https://avtr-1.avaturn.live/","paper_url":"https://arxiv.org/abs/2609.22913","repo_url":"https://github.com/avaturn-live/avtr-1","page_url":"https://www.fullduplex.ai/models/avtr-1"} | |
| {"slug":"avatar-forcing","name":"Avatar Forcing","vendor":"KAIST / NTU Singapore / DeepAuto.ai","tagline":"Research head avatar that takes the user's audio and head motion as live inputs and reacts to speech, nods, and laughter while it listens.","category":"video-fd","duplex_type":"cascade","full_duplex":false,"released":"2026-01","first_response_ms":null,"open_weights":true,"license":"CC BY-NC 4.0","commercial_use":"non-commercial","languages":[],"status":"current","benchmarks":[],"url":"https://taekyungki.github.io/AvatarForcing/","paper_url":"https://arxiv.org/abs/2601.00664","repo_url":"https://github.com/TaekyungKi/AvatarForcing","page_url":"https://www.fullduplex.ai/models/avatar-forcing"} | |