DeepSeekDeepSeek R1 Distill Qwen 32B on NVIDIA GeForce RTX 4070 Ti Super
RTX 4070 Ti Super runs DeepSeek R1 Distill Qwen 32B at Q3_K_M — 15 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
32.5B
Device VRAM
16 GB
Bandwidth
672 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek R1 Distill Qwen 32B on NVIDIA GeForce RTX 4070 Ti Super at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 15 tok/s | 580ms | ✓ Yes | Acceptable | estimated |
Notes
Q3_K_M
Q3 required to fit in 16GB. Usable for reasoning with quality compromise.
About DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B (32.5B) is a reasoning, coding, chat model. Distilled reasoning model with capable coding and chat performance.
View all DeepSeek R1 Distill Qwen 32B hardware options →About NVIDIA GeForce RTX 4070 Ti Super
NVIDIA GeForce RTX 4070 Ti Super has 16 GB at 672 GB/s. Street price: $779.
See all models NVIDIA GeForce RTX 4070 Ti Super can run →Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
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.