What LLMs can the GeForce RTX 3060 Ti (8 GB) run?
GPUData updated . Last reviewed the same day, when this catalog snapshot was written.
NVIDIA cards usually run local models through CUDA. Usable VRAM is 95% of the sticker figure, leaving a little for the driver.
- VRAM
- 8.0 GB
- Usable
- 7.6 GB
- Bandwidth
- 448 GB/s
- List price
- $399
- Year
- 2020
- Q4 models
- 14/49
NVIDIA launch MSRP.
Amazon links are affiliate searches, not live prices.
Models
Sorted with Q4 fits first. Memory figures already include the 20% overhead.
| Model | Params | Q4 | Q8 | FP16 |
|---|---|---|---|---|
| Llama 3.2 1B Instruct Llama | 1.24B | Fits0.8 GB | Fits1.3 GB | Fits3.0 GB |
| Llama 3.2 3B Instruct Llama | 3.21B | Fits2.0 GB | Fits3.4 GB | No7.7 GB |
| Phi-3.5 mini Phi | 3.82B | Tight5.6 GB | Tight7.3 GB | No9.2 GB |
| Phi-4 mini Phi | 3.84B | Fits3.6 GB | Fits5.2 GB | No9.2 GB |
| Gemma 3 4B Gemma | 4.3B | Fits2.5 GB | Fits4.1 GB | No10.3 GB |
| Mistral 7B Instruct v0.3 Mistral | 7.25B | Fits5.4 GB | No8.8 GB | No17.4 GB |
| Qwen2.5 7B Instruct Qwen | 7.62B | Fits5.2 GB | No8.6 GB | No18.3 GB |
| Gemma 4 E4B Gemma | 8B | Fits5.1 GB | No8.3 GB | No19.2 GB |
| DeepSeek R1 Distill Llama 8B DeepSeek | 8.03B | Tight6.0 GB | No9.6 GB | No19.3 GB |
| Llama 3.1 8B Instruct Llama | 8.03B | Fits4.9 GB | No9.6 GB | No19.3 GB |
| Qwen3 8B Qwen | 8.19B | Tight6.2 GB | No9.9 GB | No19.7 GB |
| Ministral 3 8B Mistral | 8.92B | Tight6.3 GB | No10.2 GB | No21.4 GB |
| Gemma 2 9B Gemma | 9.24B | Tight6.8 GB | No10.7 GB | No22.2 GB |
| Gemma 3 12B Gemma | 12.2B | Tight7.3 GB | No12.5 GB | No29.2 GB |
| Gemma 4 12B Gemma | 12B | No7.7 GB | No13.2 GB | No28.7 GB |
| Mistral Nemo 12B Mistral | 12.2B | No8.8 GB | No14.4 GB | No29.4 GB |
| Ministral 3 14B Mistral | 13.9B | No9.6 GB | No15.7 GB | No33.5 GB |
| Phi-4 Phi | 14.7B | No10.6 GB | No17.3 GB | No35.2 GB |
| Qwen3 14B Qwen | 14.8B | No10.3 GB | No17.0 GB | No35.4 GB |
| Qwen2.5 14B Instruct Qwen | 14.8B | No10.6 GB | No17.3 GB | No35.4 GB |
| gpt-oss-20b gpt-oss | 20.9B 3.6B active | No11.8 GB | No12.3 GB | No50.2 GB |
| Mistral Small 3.2 24B Mistral | 24B | No15.7 GB | No26.4 GB | No57.6 GB |
| Gemma 4 26B-A4B Gemma | 25.8B 3.8B active | No17.3 GB | No27.2 GB | No61.9 GB |
| Gemma 2 27B Gemma | 27.2B | No16.6 GB | No30.0 GB | No65.3 GB |
| Gemma 3 27B Gemma | 27.4B | No16.5 GB | No28.7 GB | No65.8 GB |
| Qwen3.6 27B Qwen | 27.8B | No17.4 GB | No29.1 GB | No66.7 GB |
| Qwen3.8 27B Qwen | 27.8B | No17.0 GB | No29.6 GB | No66.7 GB |
| Qwen3 30B-A3B Qwen | 30.5B 3B active | No19.4 GB | No33.3 GB | No73.3 GB |
| GLM-4.7-Flash GLM | 31.2B 3B active | No18.8 GB | No32.3 GB | No74.9 GB |
| Gemma 4 31B Gemma | 31.3B | No19.7 GB | No34.0 GB | No75.1 GB |
| Qwen3 32B Qwen | 32.8B | No21.9 GB | No37.0 GB | No78.6 GB |
| DeepSeek R1 Distill Qwen 32B DeepSeek | 32.8B | No22.0 GB | No37.0 GB | No78.6 GB |
| Qwen2.5 32B Instruct Qwen | 32.8B | No22.0 GB | No37.0 GB | No78.6 GB |
| Qwen3.6 35B-A3B Qwen | 36B 3B active | No22.3 GB | No37.1 GB | No86.3 GB |
| Mixtral 8x7B Mistral | 46.7B 12.9B active | No27.5 GB | No50.7 GB | No112 GB |
| DeepSeek R1 Distill Llama 70B DeepSeek | 70.6B | No45.2 GB | No77.7 GB | No169 GB |
| Llama 3.3 70B Instruct Llama | 70.6B | No42.5 GB | No75.0 GB | No169 GB |
| Qwen2.5 72B Instruct Qwen | 72.7B | No46.7 GB | No80.2 GB | No174 GB |
| Llama 4 Scout Llama | 109B 17B active | No65.4 GB | No115 GB | No261 GB |
| gpt-oss-120b gpt-oss | 117B 5.1B active | No63.1 GB | No63.7 GB | No280 GB |
| Mistral Small 4 Mistral | 119B 6.5B active | No74.0 GB | No127 GB | No287 GB |
| Mixtral 8x22B Mistral | 141B 39B active | No87.5 GB | No151 GB | No338 GB |
| Qwen3 235B-A22B Qwen | 235B 22B active | No144 GB | No252 GB | No564 GB |
| DeepSeek V4 Flash DeepSeek | 291B 13B active | No175 GB | Fits4.5 GB | No698 GB |
| Llama 4 Maverick Llama | 402B 17B active | No243 GB | No426 GB | No964 GB |
| Llama 3.1 405B Instruct Llama | 406B | No244 GB | No487 GB | No974 GB |
| Mistral Large 3 Mistral | 675B 41B active | No407 GB | No716 GB | No1620 GB |
| DeepSeek R1 DeepSeek | 684B 37B active | No405 GB | No714 GB | No1643 GB |
| DeepSeek V4 Pro DeepSeek | 1599B 49B active | No959 GB | No1673 GB | No3837 GB |