OpenAIWhisper Large V3 on NVIDIA GeForce RTX 4060 8GB
Yes — RTX 4060 8GB runs Whisper Large V3 excellently at Q5_K_M. 8 GB VRAM with plenty of headroom.
Model Size
1.55B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 on NVIDIA GeForce RTX 4060 8GB at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | – | – | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
1.55B transcription model. Q5_K_M 1.5GB. Real-time transcription on 8GB.
About Whisper Large V3
Whisper Large V3 (1.55B) is a transcription model. OpenAI's best open speech-to-text model. Supports 99 languages. Near-human accuracy for English. Low VRAM requirements; runs on any GPU. Useful for builders who need voice-to-code or meeting transcription.
View all Whisper Large V3 hardware options →About NVIDIA GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: Transcription model. Q5_K_M 1.5GB fits. Real-time capable. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.