Moshi-Face is the first full-duplex spoken dialogue model that jointly processes audio and facial input, generating both speech and synchronized facial motion. It uses a VQ-VAE face codec to encode and reconstruct 3D head meshes from facial videos into discrete face tokens, and a Face Transformer module to generate these tokens non-autoregressively for real-time audiovisual output. Experiments show Moshi-Face achieves audiovisual alignment with low latency while maintaining original dialogue quality.