NVIDIA GeForce RTX 4060 Ti 16GB vs AMD Radeon RX 9070
In short
Both have 16 GB of memory for models; the NVIDIA GeForce RTX 4060 Ti 16GB has 288 GB/s of bandwidth and the AMD Radeon RX 9070 640 GB/s. At 32k context the NVIDIA GeForce RTX 4060 Ti 16GB runs 36 of the models we track fully in memory and the AMD Radeon RX 9070 35; only the NVIDIA GeForce RTX 4060 Ti 16GB holds DeepSeek R1 Distill Qwen 14B. On the models both run fully in memory, the AMD Radeon RX 9070 is about 2.0× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models). In the US the NVIDIA GeForce RTX 4060 Ti 16GB costs $780 at Amazon and the AMD Radeon RX 9070 $754 at eBay: the AMD Radeon RX 9070 is $26 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | NVIDIA GeForce RTX 4060 Ti 16GB | AMD Radeon RX 9070 |
|---|---|---|
| GPU | GeForce RTX 4060 Ti 16GB | Radeon RX 9070 |
| Memory | 16 GB GDDR6 | 16 GB GDDR6 |
| Memory bus | 128-bit | 256-bit |
| Memory bandwidth | 288 GB/s | 640 GB/s |
| FP16 compute | 44 TFLOPS | 36.1 TFLOPS |
| Software | CUDA | ROCm |
| Board power | 165 W | 220 W |
| PCIe generation | Gen 4 | Gen 5 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | NVIDIA GeForce RTX 4060 Ti 16GB | AMD Radeon RX 9070 |
|---|---|---|
| gpt-oss 20B | 33tok/sMXFP4 | 65tok/sMXFP4 |
| Gemma 4 12B | 13tok/sQ8_0 | 26tok/sQ8_0 |
| Qwen 3.5 9B | 17tok/sQ8_0 | 33tok/sQ8_0 |
| Qwen3 14B | 12tok/sQ4_K_M | 25tok/sQ4_K_M |
| Ministral 3 14B | 12tok/sQ5_K_M | 24tok/sQ5_K_M |
| DeepSeek R1 0528 Qwen3 8B | 13tok/sQ8_0 | 26tok/sQ8_0 |
| Qwen3 8B | 13tok/sQ8_0 | 26tok/sQ8_0 |
| Qwen 3.5 4B | 32tok/sQ8_0 | 63tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 26tok/sQ8_0 |
| Granite 4.2 8B | 12tok/sQ8_0 | 24tok/sQ8_0 |
| Gemma 4 E4B | 20tok/sQ8_0 | 38tok/sQ8_0 |
| LFM2.5 8B-A1B | 40tok/sQ8_0 | 79tok/sQ8_0 |
| Llama 3.1 8B | 16tok/sQ6_K | 32tok/sQ6_K |
| Qwen2.5 0.5B | 191tok/sQ8_0 | 377tok/sQ8_0 |
| Qwen3.5 0.8B | 145tok/sQ8_0 | 285tok/sQ8_0 |
| Qwen3.5 2B | 96tok/sQ5_K_M | 190tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 63tok/sQ8_0 | 124tok/sQ8_0 |
| MiniCPM5 2B | 44tok/sQ8_0 | 86tok/sQ8_0 |
| Spark X2.5 4B | 42tok/smlx-4bit | 82tok/smlx-4bit |
| LFM2.5 2.6B | 37tok/sQ8_0 | 72tok/sQ8_0 |
| LFM2.5 VL 3B | 37tok/sQ8_0 | 72tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 36tok/sQ4_K_M | 72tok/sQ4_K_M |
| Mellum2.1 12B A2.5B Thinking | 34tok/sQ8_0 | 67tok/sQ8_0 |
| FrogNano 4B 2609 | 31tok/sQ8_0 | 61tok/sQ8_0 |
| Kimi VL A3B | 30tok/smlx-6bit | 60tok/smlx-6bit |
| granite vision 4.1 4b | 28tok/sQ8_0 | 56tok/sQ8_0 |
| granite 4.2 3b | 27tok/sQ8_0 | 54tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 25tok/sQ8_0 | 49tok/sQ8_0 |
| GLM 4 9B 0414 | 19tok/smlx-5bit | 37tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 18tok/sQ8_0 | 35tok/sQ8_0 |
| GLM 4.6V Flash | 16tok/sQ8_0 | 31tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 14tok/sQ8_0 | 27tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 14tok/smlx-8bit | 27tok/smlx-8bit |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | 26tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 12tok/sQ5_K_M | 24tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 14B | 12tok/sQ4_K_M | offload |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen 3.6 35B-A3B | offload | offload |
| Qwen 3.5 27B | offload | offload |
| Gemma 4 26B-A4B | 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 |
| Phi-4 14B | offload | offload |
| LFM2.5 24B A2B | offload | offload |
| Muse Glimmer 30B | 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 4060 Ti 16GB or the AMD Radeon RX 9070?
- Choose the NVIDIA GeForce RTX 4060 Ti 16GB to run bigger models. Choose the AMD Radeon RX 9070 for speed. Choose the AMD Radeon RX 9070 to spend less.
- Which can run bigger models, the NVIDIA GeForce RTX 4060 Ti 16GB or the AMD Radeon RX 9070?
- At 32k context the NVIDIA GeForce RTX 4060 Ti 16GB runs 36 of the models we track fully in memory and the AMD Radeon RX 9070 35; only the NVIDIA GeForce RTX 4060 Ti 16GB holds DeepSeek R1 Distill Qwen 14B.
- Which is faster for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the AMD Radeon RX 9070?
- On the models both run fully in memory, the AMD Radeon RX 9070 is about 2.0× 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 9070?
- In the US the NVIDIA GeForce RTX 4060 Ti 16GB costs $780 at Amazon and the AMD Radeon RX 9070 $754 at eBay: the AMD Radeon RX 9070 is $26 cheaper.
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