Intel Arc A770 16GB vs NVIDIA GeForce RTX 5070

For running models locally, priced in the UK. At 128k context the first runs 20 models fully in memory, the second 12.

In short

The Intel Arc A770 16GB has more memory for models: 16 GB against 12 GB. At 128k context the Intel Arc A770 16GB runs 20 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 12; only the Intel Arc A770 16GB holds LFM2.5 8B-A1B. 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

SpecIntel Arc A770 16GBNVIDIA GeForce RTX 5070
GPUArc A770 16GBGeForce RTX 5070
Memory16 GB GDDR612 GB GDDR7
Memory bus256-bit192-bit
Memory bandwidth560 GB/s672 GB/s
FP16 compute131 TFLOPS62 TFLOPS
SoftwareSYCL / oneAPICUDA
Board power225 W250 W
PCIe generationGen 4Gen 5
PCIe lanesx16x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelIntel Arc A770 16GBNVIDIA GeForce RTX 5070
Gemma 4 12B23tok/sQ6_K43tok/sQ4_K_M
Qwen 3.5 9B20tok/sQ8_042tok/sQ4_K_M
Qwen 3.5 4B32tok/sQ8_047tok/sQ8_0
Gemma 4 E4B23tok/sQ8_045tok/sQ5_K_M
LFM2.5 8B-A1B21tok/sUD-Q6_Koffload
Qwen2.5 0.5B131tok/sQ8_0195tok/sQ8_0
Qwen3.5 0.8B115tok/sQ8_0171tok/sQ8_0
Qwen3.5 2B91tok/sQ5_K_M136tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B50tok/sQ8_074tok/sQ8_0
Mellum2.1 12B A2.5B Thinking36tok/sQ6_Koffload
Spark X2.5 4B35tok/smlx-4bit53tok/smlx-4bit
MiniCPM5 2B34tok/sQ8_050tok/sQ8_0
Kimi VL A3B Thinking 250626tok/sQ4_K_Moffload
LFM2.5 2.6B26tok/sQ8_041tok/sQ6_K
LFM2.5 VL 3B26tok/sQ8_041tok/sQ6_K
GLM 4.6V Flash24tok/sQ4_K_Moffload
GLM 4 9B 041421tok/smlx-5bitoffload
DeepSeek R1 Distill Qwen 7B20tok/sQ6_Koffload
granite vision 4.1 4b20tok/sQ8_0offload
granite 4.2 3b19tok/sQ8_0offload
Qwen 3.8 27Boffloadoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Gemma 4 26B-A4Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Devstral Small 2 24Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
gpt-oss 20Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Gemma 3 27Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
Ministral 3 14Boffloadoffload
Qwen3 14Boffloadoffload
DeepSeek R1 0528 Qwen3 8Boffloadoffload
Qwen3 8Boffloadoffload
Phi-4 14Boffloadoffload
Ministral 3 8Boffloadoffload
Granite 4.2 8Boffloadoffload
Llama 3.1 8Boffloadoffload
Kimi VL A3Boffloadoffload
GLM 4.1V 9B Thinkingoffloadoffload
DeepSeek R1 Distill Llama 8Boffloadoffload
Ministral 3 8B Reasoning 2512offloadoffload
LFM2.5 24B A2Boffloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
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
Qwen 3.5 122B-A10Bwon'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
Mistral Small 4 119Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon't runwon't run
Qwen3 32Bwon't runwon't run
DeepSeek R1 Distill Qwen 32Bwon'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 4.5Vwon'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 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
granite 4.2 30bwon't runwon'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 128k context the Intel Arc A770 16GB runs 20 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 12; only the Intel Arc A770 16GB holds LFM2.5 8B-A1B.
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.

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