NVIDIA GeForce RTX 5060 Ti 16GB vs AMD Radeon RX 7900 XT
For running models locally, priced in Germany. At 32k context the first runs 36 models fully in memory, the second 43.
In short
The AMD Radeon RX 7900 XT has more memory for models: 20 GB against 16 GB. At 32k context the AMD Radeon RX 7900 XT runs 43 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 16GB 36; only the AMD Radeon RX 7900 XT holds Qwen 3.8 27B. On the models both run fully in memory, the AMD Radeon RX 7900 XT is about 1.6× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models). In Germany the NVIDIA GeForce RTX 5060 Ti 16GB costs 720 € at eBay and the AMD Radeon RX 7900 XT 880 € at eBay (used): the NVIDIA GeForce RTX 5060 Ti 16GB is 160 € cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 5060 Ti 16GB | AMD Radeon RX 7900 XT |
|---|---|---|
| GPU | GeForce RTX 5060 Ti 16GB | Radeon RX 7900 XT |
| Memory | 16 GB GDDR7 | 20 GB GDDR6 |
| Memory bus | 128-bit | 320-bit |
| Memory bandwidth | 448 GB/s | 800 GB/s |
| FP16 compute | 47 TFLOPS | 103 TFLOPS |
| Software | CUDA | ROCm |
| Board power | 180 W | 315 W |
| PCIe generation | Gen 5 | Gen 4 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 5060 Ti 16GB | AMD Radeon RX 7900 XT |
|---|---|---|
| Qwen 3.8 27B | offload | 24tok/sUD-Q4_K_M |
| Qwen 3.6 27B | offload | 23tok/sQ4_K_M |
| Qwen 3.5 27B | offload | 23tok/sQ4_K_M |
| Gemma 4 26B-A4B | offload | 75tok/sQ4_K_M |
| gpt-oss 20B | 52tok/sMXFP4 | 82tok/sMXFP4 |
| Gemma 4 12B | 21tok/sQ8_0 | 33tok/sQ8_0 |
| Qwen 3.5 9B | 26tok/sQ8_0 | 41tok/sQ8_0 |
| Qwen3 14B | 19tok/sQ4_K_M | 25tok/sQ6_K |
| Ministral 3 14B | 19tok/sQ5_K_M | 27tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 21tok/sQ8_0 | 33tok/sQ8_0 |
| Qwen3 8B | 21tok/sQ8_0 | 33tok/sQ8_0 |
| Phi-4 14B | offload | 24tok/sQ6_K |
| Qwen 3.5 4B | 50tok/sQ8_0 | 79tok/sQ8_0 |
| Ministral 3 8B | 20tok/sQ8_0 | 32tok/sQ8_0 |
| Granite 4.2 8B | 19tok/sQ8_0 | 30tok/sQ8_0 |
| Gemma 4 E4B | 30tok/sQ8_0 | 48tok/sQ8_0 |
| LFM2.5 8B-A1B | 62tok/sQ8_0 | 99tok/sQ8_0 |
| Llama 3.1 8B | 26tok/sQ6_K | 40tok/sQ6_K |
| Qwen2.5 0.5B | 298tok/sQ8_0 | 471tok/sQ8_0 |
| Qwen3.5 0.8B | 225tok/sQ8_0 | 357tok/sQ8_0 |
| Qwen3.5 2B | 150tok/sQ5_K_M | 237tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 98tok/sQ8_0 | 155tok/sQ8_0 |
| MiniCPM5 2B | 68tok/sQ8_0 | 108tok/sQ8_0 |
| Spark X2.5 4B | 65tok/smlx-4bit | 102tok/smlx-4bit |
| LFM2.5 2.6B | 57tok/sQ8_0 | 90tok/sQ8_0 |
| LFM2.5 VL 3B | 57tok/sQ8_0 | 90tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 57tok/sQ4_K_M | 64tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 53tok/sQ8_0 | 83tok/sQ8_0 |
| FrogNano 4B 2609 | 48tok/sQ8_0 | 77tok/sQ8_0 |
| Kimi VL A3B | 47tok/smlx-6bit | 62tok/smlx-8bit |
| granite vision 4.1 4b | 44tok/sQ8_0 | 70tok/sQ8_0 |
| granite 4.2 3b | 42tok/sQ8_0 | 67tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 39tok/sQ8_0 | 62tok/sQ8_0 |
| GLM 4 9B 0414 | 29tok/smlx-5bit | 46tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 28tok/sQ8_0 | 44tok/sQ8_0 |
| GLM 4.6V Flash | 25tok/sQ8_0 | 39tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 22tok/sQ8_0 | 34tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 21tok/smlx-8bit | 34tok/smlx-8bit |
| Ministral 3 8B Reasoning 2512 | 20tok/sQ8_0 | 32tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 19tok/sQ5_K_M | 27tok/sQ6_K |
| DeepSeek R1 Distill Qwen 14B | 18tok/sQ4_K_M | 24tok/sQ6_K |
| LFM2.5 24B A2B | offload | 67tok/sQ4_K_M |
| Muse Glimmer 30B | offload | 25tok/sQ4_K_M |
| Qwen 3.5 122B-A10B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 35B-A3B | offload | offload |
| GLM 4.7 Flash | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Gemma 3 27B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| Devstral Small 2507 | offload | offload |
| Magistral Small 2506 | offload | offload |
| Magistral Small 2507 | offload | offload |
| Magistral Small 2509 | offload | offload |
| Qwen3.8 27B OBLITERATED | offload | offload |
| granite 4.2 30b | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Distill Llama 70B | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the NVIDIA GeForce RTX 5060 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 5060 Ti 16GB to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 5060 Ti 16GB or the AMD Radeon RX 7900 XT?
- At 32k context the AMD Radeon RX 7900 XT runs 43 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 16GB 36; only the AMD Radeon RX 7900 XT holds Qwen 3.8 27B.
- Which is faster for local AI, the NVIDIA GeForce RTX 5060 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 1.6× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models).
- What is the price difference between the NVIDIA GeForce RTX 5060 Ti 16GB and the AMD Radeon RX 7900 XT?
- In Germany the NVIDIA GeForce RTX 5060 Ti 16GB costs 720 € at eBay and the AMD Radeon RX 7900 XT 880 € at eBay (used): the NVIDIA GeForce RTX 5060 Ti 16GB is 160 € cheaper.
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