Can the Arc B570 run Qwen3 4B?
Fits comfortably at Q4_K_M.
Qwen3 4B is 4B parameters. At Q4_K_M the weights are about 2.2 GiB; with the 1.5 GiB runtime reserve that is 3.7 GiB against the card's 10GB, leaving about 6.3 GiB for context.
All three quants
10GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 2.2 GiB | 3.7 GiB | Fits comfortably | 6.3 GiB |
| Q8_0near-lossless | 3.9 GiB | 5.4 GiB | Fits comfortably | 4.6 GiB |
| FP16full weights | 7.5 GiB | 9.0 GiB | Fits, tight on context | 1.0 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
The numbers for this pairing
At Q4_K_M the weights take about 2.2 GiB; with the 1.5 GiB we set aside for the runtime that is 3.7 of the card's 10 GB, leaving about 6.3 GB for the context cache.
The highest-quality version that fits entirely in memory is FP16 (full quality).
This is the cheapest card on our list that runs it comfortably at Q4, at about $260.
At about $260, this card costs roughly $26 per GB of VRAM.
Running it at its full 150 W board power for 4 hours a day would use about 18 kWh a month, about $3.31 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Good match. Get the card.
The Arc B570 clears Qwen3 4B at Q4_K_M and at Q8_0. Live listings below; this page was rebuilt 2026-10-07.
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About the model
Qwen3 4B by Alibaba Qwen: 32,768-token native context, text, released 2025 under the Apache-2.0. Model card →