NVIDIA GeForce RTX 5070 Ti Laptop GPU for local LLMs
Written by Jakub Rusinowski · Last updated
With 12 GB of GDDR7 at 672 GB/s, the RTX 5070 Ti Laptop GPU runs 67 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 49–102 tok/s.
12 GB of GDDR7 on a 192-bit bus, 672 GB/s. Not the 16 GB desktop RTX 5070 Ti. 60-115 W by chassis.
Models that run on the RTX 5070 Ti Laptop GPU
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 | 49–102 tok/s | |
| Ministral 3 14B Ministral 3 | 9.3 GB | 33–69 tok/s | |
| DeepSeek R1 Distill Qwen 14B DeepSeek R1 | 10.6 GB | 34–70 tok/s | |
| Gemma 4 12B (Unified) Gemma 4 | 8 GB | 38–78 tok/s | |
| Mistral NeMo 12B Mistral Family | 9.4 GB | 38–78 tok/s | |
| Bielik PL 11B v3.0 Instruct Bielik | 7.4 GB | 40–84 tok/s | |
| Llama 3.2 Vision 11B Llama 3.2 Vision | 8.5 GB | 41–85 tok/s | |
| Llama 3.2 11B Vision Instruct Llama 3.2 Family | 8.5 GB | 41–85 tok/s | |
| Falcon 3 10B Instruct Falcon 3 | 8.4 GB | 42–87 tok/s | |
| Qwen 3.5 9B Qwen 3.5 | 6.2 GB | 47–97 tok/s | |
| GLM-4 9B GLM-4.7 / GLM-Z1 | 6.2 GB | 47–97 tok/s | |
| GLM-4.6V-Flash 9B GLM-4.6V | 6.2 GB | 47–97 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 2026-10-07.
- Memory
- 12 GB GDDR7
- Memory bandwidth
- 672 GB/s
- Memory bus
- 192-bit
- Architecture
- Blackwell GB205
- Series
- RTX 50-series (Laptop)
- Board power
- 115 W
- Laptop TGP range
- 60–115 W
- Release year
- 2025
- Compute backends
- CUDA
- Usable for models
- 12 GB
Similar GPUs
Frequently asked questions
Can the NVIDIA GeForce RTX 5070 Ti Laptop GPU run local LLMs?
Yes. With 12 GB (12 GB usable by a model) it runs 67 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 5070 Ti Laptop GPU for AI inference?
It is estimated to run Llama 3.1 8B at 56–116 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.