Can the NVIDIA RTX 4080 run Qwen3.6 35B-A3B?

RTX 4080 × Qwen3.6 35B-A3B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K14.3 GB of 16 GB
Weights 13.5 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~382tokens per second
Max context89Ktokens that fit at Q2_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Qwen3.6 35B-A3B fits on the NVIDIA RTX 4080 at Q2_K, which costs noticeable quality. Expect about 382 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default qwen3.6:35b download is Q4_K_M, which needs about 22.6 GB, more than the 16 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4080

Run it in the cloud

Want full quality? Run Qwen3.6 35B-A3B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4080 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 GBToo big—
Q3_K_MNoticeably degraded18.4 GBToo big—
Q2_KHeavily degraded14.3 GBFits~382 tok/s

Measured speed from real RTX 4080 owners

Tokens per second that people measured on their own NVIDIA RTX 4080, next to our estimate.

No one has measured Qwen3.6 35B-A3B on the NVIDIA RTX 4080 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080? 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

Frequently asked questions

Can NVIDIA RTX 4080 run Qwen3.6 35B-A3B?

Only just. Qwen3.6 35B-A3B fits on the NVIDIA RTX 4080 at Q2_K, which costs noticeable quality. Expect about 382 tokens/second. A card with more memory is a better experience.

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 4080?

Roughly 382 tokens per second at Q2_K, estimated from the NVIDIA RTX 4080's 717 GB/s memory bandwidth.