Intel Arc A770 16GB vs NVIDIA GeForce RTX 4090

For running models locally, priced in Germany. At 32k context the first runs 13 models fully in memory, the second 26.

Specifications

SpecIntel Arc A770 16GBNVIDIA GeForce RTX 4090
GPUArc A770 16GBGeForce RTX 4090
Memory16 GB GDDR624 GB GDDR6X
Memory bus256-bit384-bit
Memory bandwidth560 GB/s1,008 GB/s
FP16 compute131 TFLOPS165 TFLOPS
SoftwareSYCL / oneAPICUDA
Board power225 W450 W
PCIe generationGen 4Gen 4
PCIe lanesx16x16

What each runs

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

ModelIntel Arc A770 16GBNVIDIA GeForce RTX 4090
Qwen 3.8 27Boffload28tok/sUD-Q5_K_M
Qwen 3.6 27Boffload29tok/sQ5_K_M
Gemma 4 31Boffload29tok/sQ4_K_M
Qwen 3.6 35B-A3Boffload145tok/sUD-Q4_K_M
Qwen 3.5 27Boffload29tok/sQ5_K_M
Gemma 4 26B-A4Boffload84tok/sUD-Q6_K
Qwen 3.5 35B-A3Boffload146tok/sQ4_K_M
GLM 4.7 Flashoffload70tok/sQ5_K_M
Devstral Small 2 24Boffload28tok/sQ5_K_M
gpt-oss 20B48tok/sMXFP4116tok/sMXFP4
Qwen3 Coder 30B-A3Boffload74tok/sQ4_K_M
Gemma 4 12B21tok/sQ8_046tok/sQ8_0
Qwen 3.5 9B26tok/sQ8_059tok/sQ8_0
Gemma 3 27Boffload28tok/sQ5_K_M
Mistral Small 3.2 24Boffload28tok/sQ5_K_M
Qwen3 14B20tok/sQ4_K_M30tok/sQ8_0
Ministral 3 14B19tok/sQ5_K_M32tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B21tok/sQ8_046tok/sQ8_0
Qwen3 8B21tok/sQ8_046tok/sQ8_0
Phi-4 14Boffload28tok/sQ8_0
Qwen 3.5 4B50tok/sQ8_0112tok/sQ8_0
Ministral 3 8B21tok/sQ8_046tok/sQ8_0
Granite 4.2 8B19tok/sQ8_043tok/sQ8_0
Gemma 4 E4B31tok/sQ8_068tok/sQ8_0
LFM2.5 8B-A1B58tok/sQ8_0140tok/sQ8_0
Llama 3.1 8B26tok/sQ6_K57tok/sQ6_K
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airwon't runoffload
Qwen3 Next 80B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 32Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
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
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
Llama 3.3 70Bwon't runwon't run