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

Can the Arc B570 run Mistral NeMo 12B Instruct (2407)?

Fits comfortably at Q4_K_M.

Mistral NeMo 12B Instruct (2407) is 12.2B parameters. At Q4_K_M the weights are about 6.8 GiB; with the 1.5 GiB runtime reserve that is 8.3 GiB against the card's 10GB, leaving about 1.7 GiB for context.

All three quants

10GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant6.8 GiB8.3 GiBFits comfortably1.7 GiB
Q8_0near-lossless12.0 GiB13.5 GiBOnly with CPU offloadshort 3.5 GiB
FP16full weights22.7 GiB24.2 GiBDoes not fitshort 14.2 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 6.8 GiB; with the 1.5 GiB we set aside for the runtime that is 8.3 of the card's 10 GB, leaving about 1.7 GB for the context cache.

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 Mistral NeMo 12B Instruct (2407) at Q4_K_M. Live listings below; this page was rebuilt 2026-10-07.

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About the model

Mistral NeMo 12B Instruct (2407) by Mistral AI: 131,072-token native context, text, released 2024 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →

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