AMD Radeon AI PRO R9700 vs NVIDIA GeForce RTX 4070 Super
For running models locally, priced in Canada. At 128k context the first runs 51 models fully in memory, the second 14.
In short
The AMD Radeon AI PRO R9700 has more memory for models: 32 GB against 12 GB. At 128k context the AMD Radeon AI PRO R9700 runs 51 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 14; only the AMD Radeon AI PRO R9700 holds Qwen 3.8 27B. On the models both run fully in memory, the AMD Radeon AI PRO R9700 is about 1.1× as fast as the NVIDIA GeForce RTX 4070 Super (estimated, median across models). In Canada the AMD Radeon AI PRO R9700 costs $1,924 at Amazon and the NVIDIA GeForce RTX 4070 Super $1,847 at Amazon: the NVIDIA GeForce RTX 4070 Super is $77 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | AMD Radeon AI PRO R9700 | NVIDIA GeForce RTX 4070 Super |
|---|---|---|
| GPU | Radeon AI PRO R9700 | GeForce RTX 4070 Super |
| Memory | 32 GB GDDR6 | 12 GB GDDR6X |
| Memory bus | 256-bit | 192-bit |
| Memory bandwidth | 640 GB/s | 504 GB/s |
| FP16 compute | 191 TFLOPS | 71 TFLOPS |
| Software | ROCm | CUDA |
| Board power | 300 W | 220 W |
| PCIe generation | Gen 5 | Gen 4 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | AMD Radeon AI PRO R9700 | NVIDIA GeForce RTX 4070 Super |
|---|---|---|
| Qwen 3.8 27B | 12tok/sUD-Q6_K | offload |
| Qwen 3.6 27B | 11tok/sQ6_K | offload |
| Gemma 4 31B | 12tok/sQ4_K_M | offload |
| Qwen 3.6 35B-A3B | 43tok/sUD-Q5_K_M | offload |
| Qwen 3.5 27B | 11tok/sQ6_K | offload |
| Gemma 4 26B-A4B | 30tok/sQ8_0 | offload |
| Qwen 3.5 35B-A3B | 41tok/sQ6_K | offload |
| GLM 4.7 Flash | 19tok/sQ6_K | offload |
| Nemotron 3.5 Lightning 30B-A3B | 57tok/sUD-Q5_K_M | offload |
| Kimi Linear 48B-A3B | 72tok/sQ4_K_M | offload |
| gpt-oss 20B | 37tok/sMXFP4 | offload |
| Qwen3 Coder 30B-A3B | 14tok/sQ4_K_M | offload |
| Gemma 4 12B | 23tok/sQ8_0 | 33tok/sQ4_K_M |
| Qwen 3.5 9B | 25tok/sQ8_0 | 31tok/sQ4_K_M |
| Gemma 3 27B | 12tok/sQ5_K_M | offload |
| Qwen3 14B | 12tok/sQ4_K_M | offload |
| Ministral 3 14B | 11tok/sQ5_K_M | offload |
| DeepSeek R1 0528 Qwen3 8B | 13tok/sQ8_0 | offload |
| Qwen3 8B | 13tok/sQ8_0 | offload |
| Qwen 3.5 4B | 40tok/sQ8_0 | 35tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | offload |
| Granite 4.2 8B | 11tok/sQ8_0 | offload |
| Gemma 4 E4B | 29tok/sQ8_0 | 34tok/sQ5_K_M |
| LFM2.5 8B-A1B | 28tok/sQ8_0 | offload |
| Llama 3.1 8B | 15tok/sQ6_K | offload |
| Qwen2.5 0.5B | 164tok/sQ8_0 | 146tok/sQ8_0 |
| Qwen3.5 0.8B | 144tok/sQ8_0 | 128tok/sQ8_0 |
| Qwen3.5 2B | 115tok/sQ5_K_M | 102tok/sQ5_K_M |
| LFM3 1.7B | 102tok/sQ8_0 | 90tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 62tok/sQ8_0 | 55tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 46tok/sQ8_0 | offload |
| Spark X2.5 4B | 44tok/smlx-4bit | 39tok/smlx-4bit |
| MiniCPM5 2B | 42tok/sQ8_0 | 38tok/sQ8_0 |
| FrogNano 4B 2609 | 39tok/sQ8_0 | 35tok/sQ8_0 |
| LFM2.5 2.6B | 32tok/sQ8_0 | 30tok/sQ6_K |
| LFM2.5 VL 3B | 32tok/sQ8_0 | 30tok/sQ6_K |
| Kimi VL A3B Thinking 2506 | 29tok/sQ8_0 | offload |
| Kimi VL A3B | 29tok/smlx-8bit | offload |
| GLM 4 9B 0414 | 26tok/smlx-5bit | offload |
| granite vision 4.1 4b | 25tok/sQ8_0 | offload |
| granite 4.2 3b | 24tok/sQ8_0 | offload |
| GLM 4.6V Flash | 23tok/sQ8_0 | offload |
| DeepSeek R1 Distill Qwen 7B | 23tok/sQ8_0 | offload |
| GLM 4.1V 9B Thinking | 21tok/smlx-8bit | offload |
| Ministral 3 3B Instruct 2512 | 20tok/sQ8_0 | offload |
| LFM2.5 24B A2B | 17tok/sQ5_K_M | offload |
| Muse Glimmer 30B | 14tok/sQ6_K | offload |
| DeepSeek R1 Distill Llama 8B | 14tok/sQ8_0 | offload |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | offload |
| Qwen3.8 27B OBLITERATED | 12tok/smlx-4bit | offload |
| Ministral 3 14B Reasoning 2512 | 11tok/sQ5_K_M | offload |
| Qwen 3.5 122B-A10B | offload | won't run |
| Qwen3 Coder Next | offload | won't run |
| Nemotron 3 Super 120B-A12B | offload | won't run |
| Mistral Small 4 119B | offload | won't run |
| Qwen3 Next 80B-A3B | offload | won't run |
| Devstral Small 2 24B | offload | offload |
| Qwen3 32B | offload | won't run |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | won't run |
| Phi-4 14B | offload | offload |
| DeepSeek R1 Distill Qwen 14B | offload | offload |
| Devstral Small 2507 | offload | offload |
| Magistral Small 2506 | offload | offload |
| Magistral Small 2507 | offload | offload |
| Magistral Small 2509 | offload | offload |
| granite 4.2 30b | offload | won't run |
| 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 |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | 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 AMD Radeon AI PRO R9700 or the NVIDIA GeForce RTX 4070 Super?
- Choose the AMD Radeon AI PRO R9700 to run bigger models. Choose the AMD Radeon AI PRO R9700 for speed. Choose the NVIDIA GeForce RTX 4070 Super to spend less.
- Which can run bigger models, the AMD Radeon AI PRO R9700 or the NVIDIA GeForce RTX 4070 Super?
- At 128k context the AMD Radeon AI PRO R9700 runs 51 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Super 14; only the AMD Radeon AI PRO R9700 holds Qwen 3.8 27B.
- Which is faster for local AI, the AMD Radeon AI PRO R9700 or the NVIDIA GeForce RTX 4070 Super?
- On the models both run fully in memory, the AMD Radeon AI PRO R9700 is about 1.1× as fast as the NVIDIA GeForce RTX 4070 Super (estimated, median across models).
- What is the price difference between the AMD Radeon AI PRO R9700 and the NVIDIA GeForce RTX 4070 Super?
- In Canada the AMD Radeon AI PRO R9700 costs $1,924 at Amazon and the NVIDIA GeForce RTX 4070 Super $1,847 at Amazon: the NVIDIA GeForce RTX 4070 Super is $77 cheaper.
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