picksbycard
October 7, 2026No. 158
Arc B570 · 10GB GDDR6

Can the Arc B570 run Mistral Small 3.2 24B Instruct (2506)?

Only with CPU offload at Q4_K_M.

Mistral Small 3.2 24B Instruct (2506) is 24B parameters. At Q4_K_M the weights are about 13.4 GiB; with the 1.5 GiB runtime reserve that is 14.9 GiB against the card's 10GB, about 4.9 GiB more than the card has.

All three quants

10GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant13.4 GiB14.9 GiBOnly with CPU offloadshort 4.9 GiB
Q8_0near-lossless23.7 GiB25.2 GiBDoes not fitshort 15.2 GiB
FP16full weights44.7 GiB46.2 GiBDoes not fitshort 36.2 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 13.4 GiB, so with the 1.5 GiB runtime reserve it needs 14.9 GB: 4.9 GB more than the card's 10 GB.

No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.

The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $850, against about $260 for this card.

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.

Not this card. These fit it comfortably at Q4.

What the Arc B570 does run well → · Mistral Small 3.2 24B Instruct (2506) on every card →

About the model

Mistral Small 3.2 24B Instruct (2506) by Mistral AI: 131,072-token native context, text + vision, released 2025 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →

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