Intel Arc A770 16GB vs NVIDIA GeForce RTX 5070
For running models locally, priced in the UK. At 8k context the first runs 34 models fully in memory, the second 31.
In short
The Intel Arc A770 16GB has more memory for models: 16 GB against 12 GB. At 8k context the Intel Arc A770 16GB runs 34 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 31; only the Intel Arc A770 16GB holds gpt-oss 20B. On the models both run fully in memory, the NVIDIA GeForce RTX 5070 is about 1.5× as fast as the Intel Arc A770 16GB (estimated, median across models). In the UK the Intel Arc A770 16GB costs £588 at Amazon and the NVIDIA GeForce RTX 5070 £592 at Amazon: the Intel Arc A770 16GB is £4 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc A770 16GB | NVIDIA GeForce RTX 5070 |
|---|---|---|
| GPU | Arc A770 16GB | GeForce RTX 5070 |
| Memory | 16 GB GDDR6 | 12 GB GDDR7 |
| Memory bus | 256-bit | 192-bit |
| Memory bandwidth | 560 GB/s | 672 GB/s |
| FP16 compute | 131 TFLOPS | 62 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 225 W | 250 W |
| PCIe generation | Gen 4 | Gen 5 |
| PCIe lanes | x16 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Intel Arc A770 16GB | NVIDIA GeForce RTX 5070 |
|---|---|---|
| gpt-oss 20B | 59tok/sMXFP4 | offload |
| Gemma 4 12B | 21tok/sQ8_0 | 41tok/sQ6_K |
| Qwen 3.5 9B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Ministral 3 14B | 23tok/sQ6_K | 38tok/sQ5_K_M |
| Qwen3 14B | 21tok/sQ6_K | 40tok/sQ4_K_M |
| DeepSeek R1 0528 Qwen3 8B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Qwen3 8B | 28tok/sQ8_0 | 42tok/sQ8_0 |
| Phi-4 14B | 20tok/sQ6_K | 39tok/sQ4_K_M |
| Qwen 3.5 4B | 58tok/sQ8_0 | 87tok/sQ8_0 |
| Ministral 3 8B | 28tok/sQ8_0 | 41tok/sQ8_0 |
| Granite 4.2 8B | 26tok/sQ8_0 | 39tok/sQ8_0 |
| Gemma 4 E4B | 33tok/sQ8_0 | 49tok/sQ8_0 |
| LFM2.5 8B-A1B | 105tok/sQ8_0 | 170tok/sQ8_0 |
| Llama 3.1 8B | 37tok/sQ6_K | 54tok/sQ6_K |
| Qwen2.5 0.5B | 443tok/sQ8_0 | 660tok/sQ8_0 |
| Qwen3.5 0.8B | 301tok/sQ8_0 | 447tok/sQ8_0 |
| Qwen3.5 2B | 180tok/sQ5_K_M | 268tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 132tok/sQ8_0 | 196tok/sQ8_0 |
| MiniCPM5 2B | 92tok/sQ8_0 | 137tok/sQ8_0 |
| LFM2.5 2.6B | 83tok/sQ8_0 | 123tok/sQ8_0 |
| LFM2.5 VL 3B | 83tok/sQ8_0 | 123tok/sQ8_0 |
| Spark X2.5 4B | 82tok/smlx-4bit | 123tok/smlx-4bit |
| Kimi VL A3B Thinking 2506 | 71tok/sQ4_K_M | 115tok/sQ4_K_M |
| granite vision 4.1 4b | 65tok/sQ8_0 | 97tok/sQ8_0 |
| granite 4.2 3b | 61tok/sQ8_0 | 91tok/sQ8_0 |
| Kimi VL A3B | 55tok/smlx-6bit | offload |
| Mellum2.1 12B A2.5B Thinking | 55tok/sQ8_0 | 113tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 7B | 33tok/sQ8_0 | 49tok/sQ8_0 |
| GLM 4 9B 0414 | 33tok/smlx-5bit | 49tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | 29tok/sQ8_0 | 43tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 28tok/sQ8_0 | 41tok/sQ8_0 |
| GLM 4.6V Flash | 27tok/sQ8_0 | 40tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 23tok/smlx-8bit | offload |
| DeepSeek R1 Distill Qwen 14B | 20tok/sQ6_K | 39tok/sQ4_K_M |
| Qwen 3.8 27B | offload | offload |
| Qwen 3.5 122B-A10B | offload | won't run |
| Qwen 3.6 27B | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | won't run |
| 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 |
| Qwen3 Coder 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| Gemma 3 27B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| LFM2.5 24B A2B | 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 | offload |
| Qwen3.8 27B OBLITERATED | 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 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 4.5V | 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 5.1 | 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 Intel Arc A770 16GB or the NVIDIA GeForce RTX 5070?
- Choose the Intel Arc A770 16GB to run bigger models. Choose the NVIDIA GeForce RTX 5070 for speed. Choose the Intel Arc A770 16GB to spend less.
- Which can run bigger models, the Intel Arc A770 16GB or the NVIDIA GeForce RTX 5070?
- At 8k context the Intel Arc A770 16GB runs 34 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 31; only the Intel Arc A770 16GB holds gpt-oss 20B.
- Which is faster for local AI, the Intel Arc A770 16GB or the NVIDIA GeForce RTX 5070?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5070 is about 1.5× as fast as the Intel Arc A770 16GB (estimated, median across models).
- What is the price difference between the Intel Arc A770 16GB and the NVIDIA GeForce RTX 5070?
- In the UK the Intel Arc A770 16GB costs £588 at Amazon and the NVIDIA GeForce RTX 5070 £592 at Amazon: the Intel Arc A770 16GB is £4 cheaper.
More comparisons
- Intel Arc A770 16GB vs Intel Arc B580
- Intel Arc A770 16GB vs Intel Arc Pro B60
- Intel Arc A770 16GB vs Mac mini M4 16GB
- Intel Arc A770 16GB vs NVIDIA GeForce RTX 5060 Ti 16GB
- Intel Arc A770 16GB vs AMD Radeon RX 7800 XT
- Intel Arc A770 16GB vs AMD Radeon RX 9060 XT 16GB
- Intel Arc A770 16GB vs AMD Radeon RX 9070 XT
- Intel Arc B580 vs NVIDIA GeForce RTX 5070
- Mac mini M4 16GB vs NVIDIA GeForce RTX 5070
- NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5070