readygpu

NVIDIA GeForce RTX 4060 Ti 16GB vs NVIDIA GeForce RTX 4070 Super

For running models locally, priced in the UK. At 8k context the first runs 37 models fully in memory, the second 27.

In short

The NVIDIA GeForce RTX 4060 Ti 16GB has more memory for models: 16 GB against 12 GB. At 8k context the NVIDIA GeForce RTX 4060 Ti 16GB runs 37 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 27; only the NVIDIA GeForce RTX 4060 Ti 16GB holds Devstral Small 2 24B. On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Super is about 1.8× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models). In the UK the NVIDIA GeForce RTX 4060 Ti 16GB costs £977 at Amazon and the NVIDIA GeForce RTX 4070 Super £987 at Amazon: the NVIDIA GeForce RTX 4060 Ti 16GB is £10 cheaper.

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

NVIDIA GeForce RTX 4060 Ti 16GB

£977

Amazon

Add to build
NVIDIA GeForce RTX 4070 Super

£987

Amazon

Add to build

Specifications

SpecNVIDIA GeForce RTX 4060 Ti 16GBNVIDIA GeForce RTX 4070 Super
GPUGeForce RTX 4060 Ti 16GBGeForce RTX 4070 Super
Memory16 GB GDDR612 GB GDDR6X
Memory bus128-bit192-bit
Memory bandwidth288 GB/s504 GB/s
FP16 compute44 TFLOPS71 TFLOPS
SoftwareCUDACUDA
Board power165 W220 W
PCIe generationGen 4Gen 4
PCIe lanesx8x16

What each runs

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

ModelNVIDIA GeForce RTX 4060 Ti 16GBNVIDIA GeForce RTX 4070 Super
Devstral Small 2 24B11tok/sQ4_K_Moffload
gpt-oss 20B41tok/sMXFP4offload
Gemma 4 12B14tok/sQ8_031tok/sQ6_K
Qwen 3.5 9B18tok/sQ8_032tok/sQ8_0
Mistral Small 3.2 24B11tok/sQ4_K_Moffload
Qwen3 14B13tok/sQ6_K30tok/sQ4_K_M
Ministral 3 14B11tok/sQ8_029tok/sQ5_K_M
DeepSeek R1 0528 Qwen3 8B18tok/sQ8_032tok/sQ8_0
Qwen3 8B18tok/sQ8_032tok/sQ8_0
Phi-4 14B13tok/sQ6_K30tok/sQ4_K_M
Qwen 3.5 4B37tok/sQ8_065tok/sQ8_0
Ministral 3 8B18tok/sQ8_031tok/sQ8_0
Granite 4.2 8B17tok/sQ8_029tok/sQ8_0
Gemma 4 E4B21tok/sQ8_037tok/sQ8_0
LFM2.5 8B-A1B73tok/sQ8_0128tok/sQ8_0
Llama 3.1 8B23tok/sQ6_K41tok/sQ6_K
Qwen2.5 0.5B283tok/sQ8_0495tok/sQ8_0
Qwen3.5 0.8B192tok/sQ8_0336tok/sQ8_0
Qwen3.5 2B115tok/sQ5_K_M201tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B84tok/sQ8_0147tok/sQ8_0
MiniCPM5 2B59tok/sQ8_0103tok/sQ8_0
LFM2.5 2.6B53tok/sQ8_093tok/sQ8_0
LFM2.5 VL 3B53tok/sQ8_093tok/sQ8_0
granite vision 4.1 4b42tok/sQ8_073tok/sQ8_0
granite 4.2 3b39tok/sQ8_069tok/sQ8_0
Kimi VL A3B39tok/smlx-6bitoffload
Mellum2.1 12B A2.5B Thinking38tok/sQ8_0offload
DeepSeek R1 Distill Qwen 7B21tok/sQ8_037tok/sQ8_0
DeepSeek R1 Distill Llama 8B19tok/sQ8_033tok/sQ8_0
Ministral 3 8B Reasoning 251218tok/sQ8_031tok/sQ8_0
GLM 4.6V Flash17tok/sQ8_030tok/sQ8_0
GLM 4.1V 9B Thinking15tok/smlx-8bitoffload
DeepSeek R1 Distill Qwen 14B13tok/sQ6_K30tok/sQ4_K_M
Devstral Small 250711tok/sQ4_K_Moffload
Magistral Small 250611tok/sQ4_K_Moffload
Magistral Small 250711tok/sQ4_K_Moffload
Magistral Small 250911tok/sQ4_K_Moffload
Qwen 3.8 27Boffloadoffload
Qwen 3.5 122B-A10Boffloadwon't run
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Boffloadwon't run
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Gemma 4 26B-A4Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Gemma 3 27Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
LFM2.5 24B A2Boffloadoffload
granite 4.2 30boffloadoffload
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
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA GeForce RTX 4070 Super?
Choose the NVIDIA GeForce RTX 4060 Ti 16GB to run bigger models. Choose the NVIDIA GeForce RTX 4070 Super for speed. Choose the NVIDIA GeForce RTX 4060 Ti 16GB to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA GeForce RTX 4070 Super?
At 8k context the NVIDIA GeForce RTX 4060 Ti 16GB runs 37 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 27; only the NVIDIA GeForce RTX 4060 Ti 16GB holds Devstral Small 2 24B.
Which is faster for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA GeForce RTX 4070 Super?
On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Super is about 1.8× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 4060 Ti 16GB and the NVIDIA GeForce RTX 4070 Super?
In the UK the NVIDIA GeForce RTX 4060 Ti 16GB costs £977 at Amazon and the NVIDIA GeForce RTX 4070 Super £987 at Amazon: the NVIDIA GeForce RTX 4060 Ti 16GB is £10 cheaper.

More comparisons