Rent a GPU

Can the NVIDIA RTX 3090 run Qwen3.6 35B-A3B?

RTX 3090 × Qwen3.6 35B-A3B8K context
YesRuns fully on the GPU
Memory at Q4_K_M22.6 GB of 24 GB
Weights 21.8 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ4_K_MGood, most popular
Speed~309tokens per second
Max context74Ktokens that fit at Q4_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 3090 can run Qwen3.6 35B-A3B fully in VRAM at Q4_K_M (good, most popular), using about 22.6 GB of the 24 GB available, at roughly 309 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3.6 35B-A3B:

ollama run qwen3.6:35b

Ollama's default download is Q4_K_M (about 22.6 GB here). That is also the best quant that fits.

New to this? Step-by-step setup for the RTX 3090

Run it in the cloud

No NVIDIA RTX 3090? Run Qwen3.6 35B-A3B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24 GB the NVIDIA RTX 3090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality72.8 GBToo big—
Q8_0Near-lossless39 GBToo big—
Q6_KExcellent30.3 GBToo big—
Q5_K_MVery good26.4 GBToo big—
Q4_K_MGood, most popular22.6 GBFits~309 tok/s
Q3_K_MNoticeably degraded18.4 GBFits~383 tok/s
Q2_KHeavily degraded14.3 GBFits~499 tok/s

Measured speed from real RTX 3090 owners

Tokens per second that people measured on their own NVIDIA RTX 3090, next to our estimate.

No one has measured Qwen3.6 35B-A3B on the NVIDIA RTX 3090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3090? Add your real speed

One command times Qwen3.6 35B-A3B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwen3.6:35b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3.6:35b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3.6 35B-A3B comfortably

Models that run well on the NVIDIA RTX 3090

Frequently asked questions

Can NVIDIA RTX 3090 run Qwen3.6 35B-A3B?

Yes. The NVIDIA RTX 3090 can run Qwen3.6 35B-A3B fully in VRAM at Q4_K_M (good, most popular), using about 22.6 GB of the 24 GB available, at roughly 309 tokens/second.

How much VRAM does Qwen3.6 35B-A3B need?

About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 72.8 GB at full FP16 precision.

How fast is Qwen3.6 35B-A3B on the NVIDIA RTX 3090?

Roughly 309 tokens per second at Q4_K_M, estimated from the NVIDIA RTX 3090's 936 GB/s memory bandwidth.