Can the GeForce RTX 5090 run Mistral Small 3.2 24B Instruct (2506)?
Fits comfortably 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 32GB, leaving about 17.1 GiB for context.
All three quants
32GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 13.4 GiB | 14.9 GiB | Fits comfortably | 17.1 GiB |
| Q8_0near-lossless | 23.7 GiB | 25.2 GiB | Fits comfortably | 6.8 GiB |
| FP16full weights | 44.7 GiB | 46.2 GiB | Only with CPU offload | short 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 13.4 GiB; with the 1.5 GiB we set aside for the runtime that is 14.9 of the card's 32 GB, leaving about 17.1 GB for the context cache.
The highest-quality version that fits entirely in memory is Q8_0.
The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $1,309, against about $6,500 for this card.
At about $6,500, this card costs roughly $203 per GB of VRAM.
Running it at its full 575 W board power for 4 hours a day would use about 69 kWh a month, about $12.70 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 8, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Good match. Get the card.
The GeForce RTX 5090 clears Mistral Small 3.2 24B Instruct (2506) at Q4_K_M and at Q8_0. Live listings below; this page was rebuilt 2026-10-08.
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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 →