NVIDIA GeForce RTX 3060 12GB
12 GB · 360 GB/s · 170 W
Prices
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What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q5_K_M | fits | 21.8 GB | 46k80k with q8 cache | 10tok/sest. | 186 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 21.6 GB | 49k86k with q8 cache | 10tok/sest. | 186 tok/s | – |
| Gemma 4 31B | Q4_K_M | fits | 21.6 GB | 45k89k with q8 cache | 10tok/sest. | 166 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | fits | 22.6 GB | 40k63k with q8 cache | 52tok/sest. | 1327 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 21.7 GB | 48k84k with q8 cache | 10tok/sest. | 186 tok/s | – |
| Gemma 4 26B-A4B | UD-Q5_K_M | fits | 21.8 GB | 71k116k with q8 cache | 32tok/sest. | 1180 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 22.5 GB | 44k70k with q8 cache | 52tok/sest. | 1327 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | fits | 20.0 GB | 80k139k with q8 cache | 28tok/sest. | 693 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q5_K_M | fits | 21.9 GB | 37k68k with q8 cache | 10tok/sest. | 196 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.3 GB | 128k | 41tok/sest. | 990 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | fits | 21.6 GB | 44k79k with q8 cache | 27tok/sest. | 610 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 13.9 GB | 256k | 17tok/sest. | 431 tok/s | chat |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.2 GB | 256k | 21tok/sest. | 537 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q5_K_M | fits | 21.9 GB | 37k68k with q8 cache | 10tok/sest. | 196 tok/s | – |
| Gemma 3 27B | Q5_K_M | fits | 22.1 GB | 39k74k with q8 cache | 10tok/sest. | 197 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.7 GB | 51k93k with q8 cache | 11tok/sest. | 298 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.9 GB | 40k | 11tok/sest. | 268 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.9 GB | 92k128k with q8 cache | 17tok/sest. | 442 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.9 GB | 40k | 17tok/sest. | 442 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.0 GB | 16k | 10tok/sest. | 270 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.5 GB | 256k | 40tok/sest. | 1005 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.9 GB | 95k173k with q8 cache | 16tok/sest. | 427 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.0 GB | 80k128k with q8 cache | 15tok/sest. | 407 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 9.8 GB | 128k | 24tok/sest. | 675 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.2 GB | 125k | 50tok/sest. | 2206 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.4 GB | 118k128k with q8 cache | 21tok/sest. | 467 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 41.1 GB | – | 13tok/sest. | 315 tok/s | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 47.3 GB | – | 15tok/sest. | 715 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 39.4 GB | – | 18tok/sest. | 358 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 47.3 GB | – | 19tok/sest. | 850 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 18tok/sest. | 1201 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 36tok/sest. | 979 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.7 GB | 12k23k with q8 cache | 5tok/sest. | 103 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.8 GB | 12k23k with q8 cache | 5tok/sest. | 118 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 94.2 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.6 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 79.2 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.6 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.5 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 49.2 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.9 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 3060 12GB
- Memory
- 12 GB GDDR6
- Memory bus
- 192-bit
- Memory bandwidth
- 360 GB/s
- FP16 compute
- 25.6 TFLOPS
- Software
- CUDA
- Board power
- 170 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16