NVIDIA GeForce RTX 5070 — Local LLM Performance & Compatibility

12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows. The mainstream successor to the RTX 4070 Super.

Technical Specifications

VRAM12 GB
Memory Bandwidth672 GB/s
TDP250 W
ArchitectureBlackwell GB205
Release Year2025
MSRP at Launch$549
Inference Speed (Llama 3.1 8B Q4_K_M)~103 tokens/sec
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NVIDIA GeForce RTX 5070 12GB
Launch MSRP: $549
2026 prices are volatile — check the current listing.
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LLMs Compatible with 12 GB VRAM

All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.

Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.2 FamilyLlama 3.2 11B Vision Instruct · 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b
Qwen 2.5 FamilyQwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b
Qwen 3Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b
Gemma 3Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · ollama run gemma3:12b
Phi-4 MiniPhi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral FamilyMistral NeMo 12B · 8 GB VRAM · Q4_K_M · ollama run mistral-nemo
DeepSeek R1DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the NVIDIA GeForce RTX 5070 run local LLMs?

Yes — the NVIDIA GeForce RTX 5070 has 12 GB VRAM and runs 12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows.

How fast is the NVIDIA GeForce RTX 5070 for AI inference?

The NVIDIA GeForce RTX 5070 runs Llama 3.1 8B at ~103 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 12 GB VRAM?

With 12 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 5070

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