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NVIDIA GeForce RTX 4060 Ti 16GB vs AMD Radeon RX 7900 XT

For running models locally, priced in Germany. At 64k context the first runs 30 models fully in memory, the second 33.

In short

The AMD Radeon RX 7900 XT has more memory for models: 20 GB against 16 GB. At 64k context the AMD Radeon RX 7900 XT runs 33 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 16GB 30; only the AMD Radeon RX 7900 XT holds Gemma 4 26B-A4B. On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 2.5× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models). In Germany the NVIDIA GeForce RTX 4060 Ti 16GB costs 839 € at eBay (used) and the AMD Radeon RX 7900 XT 877 € at eBay (used): the NVIDIA GeForce RTX 4060 Ti 16GB is 38 € cheaper.

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

NVIDIA GeForce RTX 4060 Ti 16GB

839 €

eBay, used (asking)

Add to build
AMD Radeon RX 7900 XT

877 €

eBay, used (asking)

Add to build

Specifications

SpecNVIDIA GeForce RTX 4060 Ti 16GBAMD Radeon RX 7900 XT
GPUGeForce RTX 4060 Ti 16GBRadeon RX 7900 XT
Memory16 GB GDDR620 GB GDDR6
Memory bus128-bit320-bit
Memory bandwidth288 GB/s800 GB/s
FP16 compute44 TFLOPS103 TFLOPS
SoftwareCUDAROCm
Board power165 W315 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 16GBAMD Radeon RX 7900 XT
Gemma 4 26B-A4Boffload63tok/sQ4_K_M
gpt-oss 20B27tok/sMXFP465tok/sMXFP4
Gemma 4 12B13tok/sQ8_031tok/sQ8_0
Qwen 3.5 9B15tok/sQ8_038tok/sQ8_0
Ministral 3 14Boffload23tok/sQ4_K_M
DeepSeek R1 0528 Qwen3 8B12tok/sQ4_K_M24tok/sQ8_0
Qwen3 8B12tok/sQ4_K_M24tok/sQ8_0
Qwen 3.5 4B27tok/sQ8_066tok/sQ8_0
Ministral 3 8B12tok/sQ5_K_M24tok/sQ8_0
Granite 4.2 8Boffload24tok/sQ6_K
Gemma 4 E4B18tok/sQ8_044tok/sQ8_0
LFM2.5 8B-A1B25tok/sQ8_062tok/sQ8_0
Llama 3.1 8B12tok/sQ6_K29tok/sQ6_K
Qwen2.5 0.5B134tok/sQ8_0329tok/sQ8_0
Qwen3.5 0.8B109tok/sQ8_0269tok/sQ8_0
Qwen3.5 2B79tok/sQ5_K_M195tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B47tok/sQ8_0117tok/sQ8_0
MiniCPM5 2B33tok/sQ8_080tok/sQ8_0
Spark X2.5 4B32tok/smlx-4bit80tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking29tok/sQ8_073tok/sQ8_0
Kimi VL A3B Thinking 250627tok/sQ4_K_M51tok/sQ8_0
FrogNano 4B 260926tok/sQ8_065tok/sQ8_0
LFM2.5 2.6B26tok/sQ8_064tok/sQ8_0
LFM2.5 VL 3B26tok/sQ8_064tok/sQ8_0
Kimi VL A3B26tok/smlx-5bit58tok/smlx-6bit
granite vision 4.1 4b20tok/sQ8_049tok/sQ8_0
granite 4.2 3b19tok/sQ8_048tok/sQ8_0
GLM 4 9B 041416tok/smlx-5bit40tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B15tok/sQ8_037tok/sQ8_0
GLM 4.6V Flash14tok/sQ8_035tok/sQ8_0
GLM 4.1V 9B Thinking12tok/smlx-8bit30tok/smlx-8bit
DeepSeek R1 Distill Llama 8B12tok/sQ6_K26tok/sQ8_0
Ministral 3 8B Reasoning 251212tok/sQ5_K_M24tok/sQ8_0
Qwen 3.8 27Boffloadoffload
Qwen 3.5 122B-A10Bwon't runoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Boffloadoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
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
Qwen3 14Boffloadoffload
Phi-4 14Boffloadoffload
LFM2.5 24B A2Boffloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
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 R1 Zerowon't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon'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 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won'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 Dev 72Bwon'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 AMD Radeon RX 7900 XT?
Choose the AMD Radeon RX 7900 XT to run bigger models. Choose the AMD Radeon RX 7900 XT 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 AMD Radeon RX 7900 XT?
At 64k context the AMD Radeon RX 7900 XT runs 33 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 16GB 30; only the AMD Radeon RX 7900 XT holds Gemma 4 26B-A4B.
Which is faster for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the AMD Radeon RX 7900 XT?
On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 2.5× 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 AMD Radeon RX 7900 XT?
In Germany the NVIDIA GeForce RTX 4060 Ti 16GB costs 839 € at eBay (used) and the AMD Radeon RX 7900 XT 877 € at eBay (used): the NVIDIA GeForce RTX 4060 Ti 16GB is 38 € cheaper.

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