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Arc B570 10GB

Intel · 10 GB GDDR6 · 380 GB/s · 150 W · MSRP $219 · Search Amazon (affiliate)

The Arc B570 10GB is a Intel accelerator with 10 GB GDDR6 and about 380 GB/s peak memory bandwidth. AI Hashrate estimates local LLM decode (batch 1) at 8K context: fit counts weights + KV cache + 1 GB runtime overhead — not weights alone. At Q4, about 17 curated models fit fully on this card; at FP16, about 7 fit. Top Q4 speeds: Qwen3-0.6B ≈ 302.3 tok/s (estimated, fits); gemma-3-1b-it ≈ 241.8 tok/s (estimated, fits); Llama-3.2-1B-Instruct ≈ 201.5 tok/s (estimated, fits); Qwen3-1.7B ≈ 120.9 tok/s (estimated, fits); Llama-3.2-3B-Instruct ≈ 75.6 tok/s (estimated, fits). Relative ranking is more reliable than absolute tok/s. See methodology for the bandwidth formula and measured-anchor policy. Methodology.

Table: decode speed estimates (Q4 / FP16). Measured rows override estimates. MSRP is list price, not live retail. Context default 8K.

ModelParams (B)Quanttok/sFits?
Qwen3-0.6B0.8Q4302.3 est.Yes
gemma-3-1b-it1.0Q4241.8 est.Yes
Llama-3.2-1B-Instruct1.2Q4201.5 est.Yes
Qwen3-1.7B2.0Q4120.9 est.Yes
gpt-oss-20b21.5Q4104.5 est.No
Qwen3-0.6B0.8FP1683.1 est.Yes
Llama-3.2-3B-Instruct3.2Q475.6 est.Yes
Qwen3-30B-A3B30.5Q468.2 est.No
Qwen3-Coder-30B-A3B-Instruct30.5Q468.2 est.No
Qwen3-30B-A3B-Instruct-250730.5Q468.2 est.No
gemma-3-1b-it1.0FP1666.5 est.Yes
GLM-4.7-Flash31.2Q465.4 est.No
Phi-4-mini-instruct3.8Q463.6 est.Yes
Phi-4-mini-reasoning3.8Q463.6 est.Yes
gemma-3-4b-it4.3Q462.0 est.Yes
Qwen3-4B-Instruct-25074.0Q460.5 est.Yes
Qwen3-4B-Thinking-25074.0Q460.5 est.Yes
gemma-3-12b-it12.2Q456.3 est.No
Llama-3.2-1B-Instruct1.2FP1655.4 est.Yes
Qwen3-4B-Instruct-25074.0FP1649.5 est.No
Qwen3-4B-Thinking-25074.0FP1649.5 est.No
gemma-3-4b-it4.3FP1645.2 est.No
Mistral-7B-Instruct-v0.37.2Q433.6 est.Yes
Qwen3-1.7B2.0FP1633.2 est.Yes
Phi-414.7Q432.5 est.No
Phi-4-reasoning14.7Q432.5 est.No
Qwen3-14B14.8Q431.9 est.No
Qwen2.5-14B-Instruct14.8Q431.9 est.No
Qwen2.5-Coder-14B-Instruct14.8Q431.9 est.No
DeepSeek-R1-Distill-Qwen-14B14.8Q431.9 est.No
Qwen2.5-7B-Instruct7.6Q431.8 est.Yes
Qwen2.5-Coder-7B-Instruct7.6Q431.8 est.Yes
DeepSeek-R1-Distill-Qwen-7B7.6Q431.8 est.Yes
Llama-3.1-8B-Instruct8.0Q430.2 est.Yes
Qwen3-8B8.2Q429.5 est.Yes
DeepSeek-R1-0528-Qwen3-8B8.2Q429.5 est.Yes
Llama-3.2-3B-Instruct3.2FP1620.8 est.Yes
Phi-4-mini-instruct3.8FP1617.5 est.Yes
Phi-4-mini-reasoning3.8FP1617.5 est.Yes
Mistral-7B-Instruct-v0.37.2FP169.3 est.No
Devstral-Small-250723.6Q48.4 est.No
Qwen2.5-7B-Instruct7.6FP168.0 est.No
Qwen2.5-Coder-7B-Instruct7.6FP168.0 est.No
DeepSeek-R1-Distill-Qwen-7B7.6FP168.0 est.No
Mistral-Small-3.2-24B-Instruct-250624.0Q48.0 est.No
Magistral-Small-250924.0Q48.0 est.No
Llama-3.1-8B-Instruct8.0FP166.9 est.No
Qwen3-8B8.2FP166.4 est.No
DeepSeek-R1-0528-Qwen3-8B8.2FP166.4 est.No
Mixtral-8x7B-Instruct-v0.146.7Q46.3 est.No
gemma-3-27b-it27.4Q45.5 est.No
Qwen3-32B32.8Q43.2 est.No
Qwen2.5-32B-Instruct32.8Q43.2 est.No
Qwen2.5-Coder-32B-Instruct32.8Q43.2 est.No
DeepSeek-R1-Distill-Qwen-32B32.8Q43.2 est.No
gemma-3-12b-it12.2FP162.0 est.No
Phi-414.7FP161.2 est.No
Phi-4-reasoning14.7FP161.2 est.No
Qwen3-14B14.8FP161.1 est.No
Qwen2.5-14B-Instruct14.8FP161.1 est.No
Qwen2.5-Coder-14B-Instruct14.8FP161.1 est.No
DeepSeek-R1-Distill-Qwen-14B14.8FP161.1 est.No

Fit checks

All 61 model fit checks — see the linked Fits? column in the table above