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October 7, 2026No. 158
Home / Will it run? / Qwen3.5 9B / Radeon RX 9070
Radeon RX 9070 · 16GB GDDR6

Can the Radeon RX 9070 run Qwen3.5 9B?

Fits comfortably at Q4_K_M.

Qwen3.5 9B is 9.65B parameters. At Q4_K_M the weights are about 5.4 GiB; with the 1.5 GiB runtime reserve that is 6.9 GiB against the card's 16GB, leaving about 9.1 GiB for context.

All three quants

16GB card
QuantWeightsWith reserveVerdictHeadroom
Q4_K_Mthe everyday quant5.4 GiB6.9 GiBFits comfortably9.1 GiB
Q8_0near-lossless9.5 GiB11.0 GiBFits comfortably5.0 GiB
FP16full weights18.0 GiB19.5 GiBOnly with CPU offloadshort 3.5 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 5.4 GiB; with the 1.5 GiB we set aside for the runtime that is 6.9 of the card's 16 GB, leaving about 9.1 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 Arc B570 at about $260, against about $570 for this card.

At about $570, this card costs roughly $36 per GB of VRAM.

Running it at its full 220 W board power for 4 hours a day would use about 26 kWh a month, about $4.86 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 Radeon RX 9070 clears Qwen3.5 9B 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

Qwen3.5 9B by Alibaba Qwen: 262,144-token native context, text + vision, released 2026 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →

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