Intel Arc B580 vs NVIDIA GeForce RTX 3090

For running models locally, priced in India. At 64k context the first runs 5 models fully in memory, the second 22.

Specifications

SpecIntel Arc B580NVIDIA GeForce RTX 3090
GPUArc B580GeForce RTX 3090
Memory12 GB GDDR624 GB GDDR6X
Memory bus192-bit384-bit
Memory bandwidth456 GB/s936 GB/s
FP16 compute116.5 TFLOPS71 TFLOPS
SoftwareSYCL / oneAPICUDA
Board power190 W350 W
PCIe generationGen 4Gen 4
PCIe lanesx8x16

What each runs

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

ModelIntel Arc B580NVIDIA GeForce RTX 3090
Qwen 3.8 27Boffload28tok/sUD-Q4_K_M
Qwen 3.6 27Boffload24tok/sQ5_K_M
Qwen 3.6 35B-A3Boffload107tok/sUD-Q4_K_M
Qwen 3.5 27Boffload27tok/sQ4_K_M
Gemma 4 26B-A4Boffload72tok/sUD-Q5_K_M
Qwen 3.5 35B-A3Boffload107tok/sQ4_K_M
GLM 4.7 Flashoffload53tok/sQ4_K_M
gpt-oss 20Boffload86tok/sMXFP4
Gemma 4 12B23tok/sQ5_K_M41tok/sQ8_0
Qwen 3.5 9B24tok/sQ6_K50tok/sQ8_0
Gemma 3 27Boffload26tok/sQ4_K_M
Ministral 3 14Boffload27tok/sQ6_K
Qwen3 14Boffload25tok/sQ6_K
DeepSeek R1 0528 Qwen3 8Boffload32tok/sQ8_0
Qwen3 8Boffload32tok/sQ8_0
Phi-4 14Boffload24tok/sQ5_K_M
Qwen 3.5 4B34tok/sQ8_087tok/sQ8_0
Ministral 3 8Boffload32tok/sQ8_0
Granite 4.2 8Boffload29tok/sQ8_0
Gemma 4 E4B23tok/sQ8_057tok/sQ8_0
LFM2.5 8B-A1B31tok/sUD-Q6_K81tok/sQ8_0
Llama 3.1 8Boffload38tok/sQ6_K
Qwen 3.5 122B-A10Bwon't runoffload
Gemma 4 31Boffloadoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Bwon't runoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
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
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run