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NVIDIA GeForce RTX 4070

NVIDIA · 12GB GDDR6X · Can run 40 models

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Manufacturer NVIDIA
VRAM 12 GB
Memory Type GDDR6X
Architecture Ada Lovelace
CUDA Cores 5,888
Tensor Cores 184
Bandwidth 504 GB/s
TDP 200W
MSRP $599
Released Apr 13, 2023

AI Notes

The RTX 4070 is a popular entry point for local AI work. With 12GB of GDDR6X VRAM, it handles 7B models well and can run 13B models with Q4 quantization. Its low 200W TDP makes it efficient for sustained AI inference workloads in smaller builds.

Compatible Models

Model Parameters Best Quant VRAM Used Fit Est. Speed
Qwen 3 0.6B 600M Q4_K_M 2.5 GB Runs ~202 tok/s
Gemma 3 1B 1B Q8_0 2 GB Runs ~252 tok/s
Llama 3.2 1B 1B Q8_0 3 GB Runs ~168 tok/s
DeepSeek R1 1.5B 1.5B Q8_0 3 GB Runs ~168 tok/s
Gemma 2 2B 2B Q8_0 4 GB Runs ~126 tok/s
Gemma 3n E2B 2B Q4_K_M 3.3 GB Runs ~153 tok/s
Llama 3.2 3B 3B Q8_0 5 GB Runs ~101 tok/s
Phi-3 Mini 3.8B 3.8B Q8_0 5.8 GB Runs ~87 tok/s
Phi-4 Mini 3.8B 3.8B Q4_K_M 4.5 GB Runs ~112 tok/s
Gemma 3 4B 4B Q4_K_M 5 GB Runs ~101 tok/s
Gemma 3n E4B 4B Q4_K_M 4.5 GB Runs ~112 tok/s
Qwen 3 4B 4B Q4_K_M 4.5 GB Runs ~112 tok/s
DeepSeek R1 7B 7B Q8_0 9 GB Runs ~56 tok/s
Falcon 3 7B 7B Q4_K_M 6.8 GB Runs ~74 tok/s
Mistral 7B 7B Q8_0 9 GB Runs ~56 tok/s
Qwen 2.5 7B 7B Q8_0 9 GB Runs ~56 tok/s
Qwen 2.5 Coder 7B 7B Q8_0 9 GB Runs ~56 tok/s
Qwen 2.5 VL 7B 7B Q4_K_M 7 GB Runs ~72 tok/s
Cogito 8B 8B Q4_K_M 7.5 GB Runs ~67 tok/s
DeepSeek R1 8B 8B Q4_K_M 7.5 GB Runs ~67 tok/s
Llama 3.1 8B 8B Q8_0 10 GB Runs ~50 tok/s
Nemotron 3 Nano 8B 8B Q4_K_M 7.5 GB Runs ~67 tok/s
Qwen 3 8B 8B Q4_K_M 7.5 GB Runs ~67 tok/s
Falcon 3 10B 10B Q4_K_M 8.5 GB Runs ~59 tok/s
Llama 3.2 Vision 11B 11B Q4_K_M 8.5 GB Runs ~59 tok/s
Mistral Nemo 12B 12B Q4_K_M 9.5 GB Runs ~53 tok/s
DeepSeek R1 14B 14B Q4_K_M 9.9 GB Runs ~51 tok/s
Phi-4 14B 14B Q4_K_M 9.9 GB Runs ~51 tok/s
Qwen 2.5 14B 14B Q4_K_M 9.9 GB Runs ~51 tok/s
Gemma 2 9B 9B Q8_0 11 GB Runs (tight) ~46 tok/s
Gemma 3 12B 12B Q4_K_M 10.5 GB Runs (tight) ~48 tok/s
Phi-4 Reasoning 14B 14B Q4_K_M 11 GB Runs (tight) ~46 tok/s
Qwen 2.5 Coder 14B 14B Q4_K_M 12 GB CPU Offload ~13 tok/s
Qwen 3 14B 14B Q4_K_M 12 GB CPU Offload ~13 tok/s
StarCoder2 15B 15B Q8_0 17 GB CPU Offload ~9 tok/s
Codestral 22B 22B Q4_K_M 14.7 GB CPU Offload ~10 tok/s
Devstral 24B 24B Q4_K_M 17 GB CPU Offload ~9 tok/s
Magistral Small 24B 24B Q4_K_M 17 GB CPU Offload ~9 tok/s
Mistral Small 3.1 24B 24B Q4_K_M 18 GB CPU Offload ~8 tok/s
Gemma 2 27B 27B Q4_K_M 17.7 GB CPU Offload ~8 tok/s
29 model(s) are too large for this hardware.