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Best local model for text to speech on a 12 GB GPU

Open-weights models whose approximate minimum GPU memory is 12 GB or less, ranked from public benchmarks. Memory figures are approximate; quantised builds can need less.

BTop ranked: Breeze TTS 2 (BreezeBlue), 1,222 on Artificial Analysis Speech Arena: Text to Speech (provider voices).8 options listed · data verified 19 Oct 2026

Ranked list

Best local model for text to speech on a 12 GB GPU
TierNameApproachRunsRated byPriceSkill
B Breeze TTS 2
BreezeBlue
ModelsLocal1,222 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~12 GB VRAM—
C Step-Audio-EditX
StepFun
ModelsLocal1,100 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~8 GB VRAM—
C Voxtral TTS (4B, 2603)
Mistral AI
ModelsLocal1,089 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~10 GB VRAM—
C Kokoro-82M v1.0
hexgrad
ModelsLocal1,064 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~1 GB VRAM—
C Magpie-Multilingual 357M (Feb 2026)
NVIDIA
ModelsLocal1,064 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~1 GB VRAM—
C Maya1
Maya Research
ModelsLocal1,046 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~8 GB VRAM—
C Higgs TTS 3 (4B)
Boson AI
ModelsLocal1,042 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~12 GB VRAM—
C VibeVoice-1.5B
Microsoft
ModelsLocal957 on Artificial Analysis Speech Arena: Text to Speech (provider voices)~8 GB VRAM—

Tiers come only from public benchmarks (Artificial Analysis Speech Arena: Text to Speech (provider voices)); tools without a result of their own inherit the tier of the best model they offer. How we rank.