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F5-TTS
SWivid (academic)
Moshi
Kyutai
Unmute
Kyutai
CategoryOpen modelsOpen modelsOpen models
StatusGAGAGA
Est. per minuten/an/an/a
How that was worked outSelf-hosted: cost is your GPU/CPU time, not per characterNo licence fee; you pay for GPU time. No licence fee; you pay for GPU time. Plus LLM cost if you use a paid LLM endpoint.
Pricing modelfreefreefree
Free tierOpen weightsOpen weightsOpen weights
Connects byWebSocket (built-in web server and client)WebSocket (OpenAI-Realtime-like backend), Web frontend
Audio inText plus reference audio and its transcript24 kHz via the Mimi codec (12.5 Hz frames, 80 ms)Browser mic via the bundled frontend
Audio out24 kHz waveform24 kHz Mimi-decoded speechStreamed TTS audio
LanguagesEnglish and Chinese base; community finetunes for othersEnglish (not stated on the repo page; the released models were trained for English).English and French for STT/TTS (per model names); LLM language depends on your model.
Latency (vendor claim)Non-autoregressive; no first-party streaming server.Vendor claim: 160 ms theoretical, as low as 200 ms in practice on an L4 GPU.Vendor: TTS latency about 750 ms on a single L40S, about 450 ms with services on separate GPUs.
Key limits
  • Non-commercial weights
  • Small 7B text backbone: limited knowledge and reasoning
  • No built-in tool/function calling
  • Context length not stated on the repo
  • No built-in tool calling (wrap your LLM server to add it)
  • Linux x86_64 only (Windows via WSL); no aarch64 or native Mac
High-severity warnings
  • Weights are non-commercial
  • Not an agent brain
  • None
ComplianceYour own deployment; no vendor data processingSelf-hosted; compliance is your responsibility.Self-hosted; your responsibility.
Self-hostableYesYesYes
Last checked2026-10-102026-10-102026-10-10
Key numbers and features
TypeText-to-speechVoice-to-voiceVoice-to-voice
Params B-7.7-
VRAM GB-2416
CPU ok-NoNo
LicenceCC-BY-NC-4.0CC-BY-4.0CC-BY-4.0
CommercialNoYesYes
Full duplex-YesNo
StreamingNoYesYes
Latency ms-200750
Languages212
High warnings110