All tasks / Voice & audio / Text to speech
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
| Tier | Name | Approach | Runs | Rated by | Price | Skill |
|---|---|---|---|---|---|---|
| B | BreezeBlue | Models | Local | 1,222 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~12 GB VRAM | — |
| C | StepFun | Models | Local | 1,100 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~8 GB VRAM | — |
| C | Mistral AI | Models | Local | 1,089 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~10 GB VRAM | — |
| C | hexgrad | Models | Local | 1,064 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~1 GB VRAM | — |
| C | NVIDIA | Models | Local | 1,064 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~1 GB VRAM | — |
| C | Maya Research | Models | Local | 1,046 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~8 GB VRAM | — |
| C | Boson AI | Models | Local | 1,042 on Artificial Analysis Speech Arena: Text to Speech (provider voices) | ~12 GB VRAM | — |
| C | Microsoft | Models | Local | 957 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.