NVIDIA GeForce RTX 4070 Ti for local LLMs
Written by Jakub Rusinowski · Last updated
With 12 GB at 504 GB/s, the RTX 4070 Ti runs 69 catalogued models at Q4_K_M with 8K context. The largest that fits is Gemma 3 12B Instruct (~11.1 GB), and the top pick is Cosmos 3 Nano at 44–84 tok/s.
The non-Super RTX 4070 Ti: 12 GB VRAM at high bandwidth, which makes it one of the faster 12 GB cards. Great for 7–8B models with large context windows.
Models that run on the RTX 4070 Ti
Q4_K_M, 8K context, 12 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 12 GB | VRAM | Speed |
|---|---|---|---|
| Cosmos 3 Nano Cosmos 3 | 10.5 GB | 44–84 tok/s | |
| Ministral 3 14B Ministral 3 | 9.3 GB | 29–56 tok/s | |
| DeepSeek R1 Distill Qwen 14B DeepSeek R1 | 10.6 GB | 29–57 tok/s | |
| Gemma 4 12B (Unified) Gemma 4 | 8 GB | 33–64 tok/s | |
| Mistral NeMo 12B Mistral Family | 9.4 GB | 33–64 tok/s | |
| Bielik PL 11B v3.0 Instruct Bielik | 7.4 GB | 36–69 tok/s | |
| Llama 3.2 Vision 11B Llama 3.2 Vision | 8.5 GB | 36–70 tok/s | |
| Llama 3.2 11B Vision Instruct Llama 3.2 Family | 8.5 GB | 36–70 tok/s | |
| Falcon 3 10B Instruct Falcon 3 | 8.4 GB | 37–71 tok/s | |
| Qwen 3.5 9B Qwen 3.5 | 6.5 GB | 47–91 tok/s | |
| GLM-4 9B GLM-4.7 / GLM-Z1 | 6.2 GB | 42–80 tok/s | |
| K2 Horizon 7B K2 Horizon | 7.4 GB | 42–80 tok/s |
Buy it or rent the same memory
Buy the card, or rent a GPU with the same memory by the hour to try models first.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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Speed vs other GPUs
Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated
Specifications
Specs last updated 2026-09-29.
- Memory
- 12 GB
- Memory bandwidth
- 504 GB/s
- Architecture
- Ada Lovelace AD104
- Series
- RTX 40-series
- Board power
- 285 W
- Release year
- 2023
- Launch price
- $799
- Usable for models
- 12 GB
Similar GPUs
Frequently asked questions
Can the NVIDIA GeForce RTX 4070 Ti run local LLMs?
Yes. With 12 GB (12 GB usable by a model) it runs 69 of the catalogued models at Q4_K_M with 8K context; the largest is Gemma 3 12B Instruct, needing about 11.1 GB.
How fast is the NVIDIA GeForce RTX 4070 Ti for AI inference?
It is estimated to run Llama 3.1 8B at 50–96 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 12 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 12 GB?
Among the best that fit: Cosmos 3 Nano, Ministral 3 14B, DeepSeek R1 Distill Qwen 14B, Gemma 4 12B (Unified), Mistral NeMo 12B. The quickest start is Ollama: ollama run llama3.1:8b.
Keep going
Can I run it on the RTX 4070 Ti?
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