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Intel Arc B570

Intel · 10GBGDDR6 · Can run 59 models

BuyAmazon
ManufacturerIntel
VRAM10 GB
Memory TypeGDDR6
ArchitectureBattlemage
Bandwidth380 GB/s
TDP150W
MSRP$219
ReleasedJan 16, 2025

AI Notes

The Intel Arc B570 provides 10GB of VRAM at one of the lowest price points available, sufficient to run 7B models and attempt 13B with aggressive quantization. Intel's Ollama and AI framework support is still experimental, so setup may require extra effort. A solid budget entry point for users willing to navigate early-adopter challenges.

Compatible Models

ModelParametersBest QuantVRAM UsedFitEst. Speed
Qwen 3 0.6B600MQ4_K_M2.5 GBRuns~152 tok/s
Qwen 3.5 0.8B800MQ4_K_M1.5 GBRuns~253 tok/s
Gemma 3 1B1BQ8_02 GBRuns~190 tok/s
Llama 3.2 1B1BQ8_03 GBRuns~127 tok/s
DeepSeek R1 1.5B1.5BQ8_03 GBRuns~127 tok/s
SmolLM2 1.7B1.7BQ8_02.7 GBRuns~141 tok/s
Gemma 2 2B2BQ8_04 GBRuns~95 tok/s
Gemma 3n E2B2BQ4_K_M3.3 GBRuns~115 tok/s
Gemma 4 E2B2BQ4_K_M4 GBRuns~95 tok/s
Qwen 3.5 2B2BQ4_K_M3 GBRuns~127 tok/s
Llama 3.2 3B3BQ8_05 GBRuns~76 tok/s
StarCoder2 3B3BQ4_K_M3.5 GBRuns~109 tok/s
Phi-3 Mini 3.8B3.8BQ8_05.8 GBRuns~66 tok/s
Phi-4 Mini 3.8B3.8BQ4_K_M4.5 GBRuns~84 tok/s
Gemma 3 4B4BQ4_K_M5 GBRuns~76 tok/s
Gemma 3n E4B4BQ4_K_M4.5 GBRuns~84 tok/s
Gemma 4 E4B4BQ4_K_M6 GBRuns~63 tok/s
Qwen 3 4B4BQ4_K_M4.5 GBRuns~84 tok/s
Qwen 3.5 4B4BQ4_K_M4.5 GBRuns~84 tok/s
Yi 1.5 6B6BQ4_K_M5 GBRuns~76 tok/s
Codestral Mamba 7B7BQ4_K_M6.9 GBRuns~55 tok/s
Falcon 3 7B7BQ4_K_M6.8 GBRuns~56 tok/s
InternLM 2.5 7B7BQ4_K_M5.5 GBRuns~69 tok/s
OpenChat 3.5 7B7BQ4_K_M6.9 GBRuns~55 tok/s
Qwen 2.5 VL 7B7BQ4_K_M7 GBRuns~54 tok/s
StarCoder2 7B7BQ4_K_M5.5 GBRuns~69 tok/s
WizardLM 2 7B7BQ4_K_M6.9 GBRuns~55 tok/s
Aya Expanse 8B8BQ4_K_M6.5 GBRuns~58 tok/s
Cogito 8B8BQ4_K_M7.5 GBRuns~51 tok/s
DeepSeek R1 8B8BQ4_K_M7.5 GBRuns~51 tok/s
Dolphin 3 8B8BQ4_K_M6 GBRuns~63 tok/s
Nemotron 3 Nano 8B8BQ4_K_M7.5 GBRuns~51 tok/s
Nous Hermes 2 8B8BQ4_K_M6 GBRuns~63 tok/s
Qwen 3 8B8BQ4_K_M7.5 GBRuns~51 tok/s
Qwen 3.5 9B9BQ4_K_M7.5 GBRuns~51 tok/s
Yi 1.5 9B9BQ4_K_M6.5 GBRuns~58 tok/s
Yi Coder 9B9BQ4_K_M8 GBRuns~48 tok/s
Falcon 3 10B10BQ4_K_M8.5 GBRuns~45 tok/s
Llama 3.2 Vision 11B11BQ4_K_M8.5 GBRuns~45 tok/s
DeepSeek R1 7B7BQ8_09 GBRuns (tight)~42 tok/s
Mistral 7B7BQ8_09 GBRuns (tight)~42 tok/s
Qwen 2.5 7B7BQ8_09 GBRuns (tight)~42 tok/s
Qwen 2.5 Coder 7B7BQ8_09 GBRuns (tight)~42 tok/s
Mistral Nemo 12B12BQ4_K_M9.5 GBRuns (tight)~40 tok/s
Granite 3.3 8B8BQ8_010 GBCPU Offload~11 tok/s
Llama 3.1 8B8BQ8_010 GBCPU Offload~11 tok/s
Gemma 2 9B9BQ8_011 GBCPU Offload~11 tok/s
Gemma 3 12B12BQ4_K_M10.5 GBCPU Offload~11 tok/s
DeepSeek R1 14B14BQ4_K_M9.9 GBCPU Offload~11 tok/s
Phi-4 14B14BQ4_K_M9.9 GBCPU Offload~11 tok/s
Phi-4 Reasoning 14B14BQ4_K_M11 GBCPU Offload~11 tok/s
Qwen 2.5 14B14BQ4_K_M9.9 GBCPU Offload~11 tok/s
Qwen 2.5 Coder 14B14BQ4_K_M12 GBCPU Offload~10 tok/s
Qwen 3 14B14BQ4_K_M12 GBCPU Offload~10 tok/s
StarCoder2 15B15BQ4_K_M10.5 GBCPU Offload~11 tok/s
InternLM 2.5 20B20BQ4_K_M12 GBCPU Offload~10 tok/s
gpt-oss 20B21BMXFP415 GBCPU Offload~8 tok/s
Codestral 22B22BQ4_K_M14.7 GBCPU Offload~8 tok/s
Qwen 3.5 35B A3B35BQ4_K_M12 GBCPU Offload~10 tok/s
55 model(s) are too large for this hardware.