readygpu

NVIDIA GeForce RTX 4070 Super vs NVIDIA GeForce RTX 5060 Ti 16GB

For running models locally, priced in India. At 32k context the first runs 10 models fully in memory, the second 13.

In short

The NVIDIA GeForce RTX 5060 Ti 16GB has more memory for models: 16 GB against 12 GB. At 32k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 13 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 10; only the NVIDIA GeForce RTX 5060 Ti 16GB holds gpt-oss 20B. On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Super is about 1.3× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models).

Updated . Speeds are estimates; how they are worked out.

NVIDIA GeForce RTX 4070 Super

Not priced here

Add to build
NVIDIA GeForce RTX 5060 Ti 16GB

Not priced here

Add to build

Specifications

SpecNVIDIA GeForce RTX 4070 SuperNVIDIA GeForce RTX 5060 Ti 16GB
GPUGeForce RTX 4070 SuperGeForce RTX 5060 Ti 16GB
Memory12 GB GDDR6X16 GB GDDR7
Memory bus192-bit128-bit
Memory bandwidth504 GB/s448 GB/s
FP16 compute71 TFLOPS47 TFLOPS
SoftwareCUDACUDA
Board power220 W180 W
PCIe generationGen 4Gen 5
PCIe lanesx16x8

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA GeForce RTX 4070 SuperNVIDIA GeForce RTX 5060 Ti 16GB
gpt-oss 20Boffload52tok/sMXFP4
Gemma 4 12B29tok/sQ6_K21tok/sQ8_0
Qwen 3.5 9B29tok/sQ8_026tok/sQ8_0
Ministral 3 14Boffload19tok/sQ5_K_M
Qwen3 14Boffload19tok/sQ4_K_M
DeepSeek R1 0528 Qwen3 8B29tok/sQ5_K_M21tok/sQ8_0
Qwen3 8B29tok/sQ5_K_M21tok/sQ8_0
Qwen 3.5 4B56tok/sQ8_050tok/sQ8_0
Ministral 3 8B29tok/sQ5_K_M20tok/sQ8_0
Granite 4.2 8B29tok/sQ4_K_M19tok/sQ8_0
Gemma 4 E4B34tok/sQ8_030tok/sQ8_0
LFM2.5 8B-A1B70tok/sQ8_062tok/sQ8_0
Llama 3.1 8B29tok/sQ6_K26tok/sQ6_K
Qwen 3.8 27Boffloadoffload
Qwen 3.5 122B-A10Bwon't runoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Bwon't runoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Gemma 4 26B-A4Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Devstral Small 2 24Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Gemma 3 27Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Phi-4 14Boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
Nemotron 3 Super 120B-A12Bwon't runwon't run
Qwen3 Coder Nextwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon't runwon't run
Llama 3.3 70Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 4070 Super or the NVIDIA GeForce RTX 5060 Ti 16GB?
Choose the NVIDIA GeForce RTX 5060 Ti 16GB to run bigger models. Choose the NVIDIA GeForce RTX 4070 Super for speed.
Which can run bigger models, the NVIDIA GeForce RTX 4070 Super or the NVIDIA GeForce RTX 5060 Ti 16GB?
At 32k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 13 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 10; only the NVIDIA GeForce RTX 5060 Ti 16GB holds gpt-oss 20B.
Which is faster for local AI, the NVIDIA GeForce RTX 4070 Super or the NVIDIA GeForce RTX 5060 Ti 16GB?
On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Super is about 1.3× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models).

More comparisons