GPU GUIDE · NVIDIA
Best AI models for the
NVIDIA RTX 4070 Super
The NVIDIA RTX 4070 Super has 12.0GB of VRAM. Below are the top 30 open-source AI models that fit, ranked by composite benchmark score. Each row shows the best quantization that fits your hardware.
VRAM
12.0GB
Brand
nvidia
Models that fit
30
Generation
RTX 40 Series
Top 30 models for the NVIDIA RTX 4070 Super
01
54.0Qwen 3.5 9B
9.0BBest fit: Q8_0 · 10.6GBCan I run it? →
02
45.1Qwen 3.5 4B
4.0BBest fit: fp16 · 9.0GBCan I run it? →
03
31.7Devstral Small 2
7.0BBest fit: Q8_0 · 8.4GBCan I run it? →
04
31.3gemma 4 E4B it
8.0BBest fit: Q8_0 · 9.5GBCan I run it? →
05
30.3Qwen3 4B Thinking 2507
4.0BBest fit: fp16 · 9.0GBCan I run it? →
06
27.8Qwen3 VL 8B Thinking
8.8BBest fit: Q8_0 · 10.3GBCan I run it? →
07
27.4DeepSeek R1 0528 Qwen3 8B
8.2BBest fit: Q8_0 · 9.7GBCan I run it? →
08
27.2Qwen 3.5 2B
2.0BBest fit: fp16 · 5.0GBCan I run it? →
09
27.0Qwen3 14B
14.8BBest fit: Q5_K_M · 11.5GBCan I run it? →
10
26.7Ministral 3 14B
14.0BBest fit: Q5_K_M · 10.9GBCan I run it? →
11
26.6Ministral 3 14B 2512
13.9BBest fit: Q5_K_M · 10.9GBCan I run it? →
12
26.4DeepSeek R1 Distill Qwen 14B
14.8BBest fit: Q5_K_M · 11.5GBCan I run it? →
13
25.4gemma 4 E2B it
5.1BBest fit: fp16 · 11.2GBCan I run it? →
14
25.0Ministral 3 8B
8.0BBest fit: Q8_0 · 9.5GBCan I run it? →
15
25.0Gemma 4 E2B
2.0BBest fit: fp16 · 5.0GBCan I run it? →
16
24.8Nemotron Nano 12B 2 VL (free)
13.2BBest fit: Q6_K · 11.9GBCan I run it? →
17
24.7Ministral 3 8B 2512
8.9BBest fit: Q8_0 · 10.5GBCan I run it? →
18
24.6Nemotron Nano 9B V2 (free)
8.9BBest fit: Q8_0 · 10.5GBCan I run it? →
19
24.5NVIDIA Nemotron 3 Nano 4B BF16
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
20
23.8Qwen3 VL 8B Instruct
8.8BBest fit: Q8_0 · 10.3GBCan I run it? →
21
23.7Qwen3 4B
4.0BBest fit: Q8_0 · 5.3GBCan I run it? →
22
22.9Qwen3 VL 4B Thinking
4.4BBest fit: fp16 · 9.8GBCan I run it? →
23
22.0Qwen3 8B
8.2BBest fit: Q8_0 · 9.7GBCan I run it? →
24
21.5Qwen3 4B Instruct 2507
4.0BBest fit: fp16 · 9.0GBCan I run it? →
25
20.6Granite 4.1 8B
8.8BBest fit: Q8_0 · 10.3GBCan I run it? →
26
20.2DeepSeek R1 Distill Llama 8B
8.0BBest fit: Q8_0 · 9.5GBCan I run it? →
27
18.7Ministral 3 3B 2512
3.8BBest fit: fp16 · 8.6GBCan I run it? →
28
18.3Ministral 3 3B
3.0BBest fit: fp16 · 7.0GBCan I run it? →
29
17.5Qwen 3.5 0.8B
0.8BBest fit: fp16 · 2.6GBCan I run it? →
30
17.4Phi-4
14.0BBest fit: Q5_K_M · 10.9GBCan I run it? →
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FAQ — running AI on the NVIDIA RTX 4070 Super
How many AI models can the NVIDIA RTX 4070 Super run?
With 12.0GB of VRAM, the NVIDIA RTX 4070 Super can run 30+ open-source models from our database, including Qwen 3.5 9B, Qwen 3.5 4B, Devstral Small 2.
What's the largest LLM I can run on a NVIDIA RTX 4070 Super?
The biggest model that fits is approximately 14.8B. Larger models would need to be quantized further or won't fit at all.
Is 12.0GB of VRAM enough for local AI?
Yes for most use cases — 12.0GB runs 7B-13B class models at high quality. For 30B+ models you'll need to use heavy quantization or upgrade.