Can the NVIDIA RTX 5090 run Qwen3 Coder Next 80B-A3B?

RTX 5090 × Qwen3 Coder Next 80B-A3B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K30.7 GB of 32 GB
Weights 29.9 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~956tokens per second
Max context59Ktokens 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 Coder Next 80B-A3B fits on the NVIDIA RTX 5090 at Q2_K, which costs noticeable quality. Expect about 956 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default qwen3-coder-next download is Q4_K_M, which needs about 49.1 GB, more than the 32 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 5090

Run it in the cloud

Want full quality? Run Qwen3 Coder Next 80B-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 32 GB the NVIDIA RTX 5090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality160.2 GBToo big—
Q8_0Near-lossless85.5 GBToo big—
Q6_KExcellent66.2 GBToo big—
Q5_K_MVery good57.5 GBToo big—
Q4_K_MGood, most popular49.1 GBToo big—
Q3_K_MNoticeably degraded39.8 GBToo big—
Q2_KHeavily degraded30.7 GBFits~956 tok/s

Measured speed from real RTX 5090 owners

Tokens per second that people measured on their own NVIDIA RTX 5090, next to our estimate.

No one has measured Qwen3 Coder Next 80B-A3B on the NVIDIA RTX 5090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5090? Add your real speed

One command times Qwen3 Coder Next 80B-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-coder-next

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3-coder-next"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can NVIDIA RTX 5090 run Qwen3 Coder Next 80B-A3B?

Only just. Qwen3 Coder Next 80B-A3B fits on the NVIDIA RTX 5090 at Q2_K, which costs noticeable quality. Expect about 956 tokens/second. A card with more memory is a better experience.

How much VRAM does Qwen3 Coder Next 80B-A3B need?

About 49.1 GB at Q4_K_M with 8,192 tokens of context, and about 160.2 GB at full FP16 precision.

How fast is Qwen3 Coder Next 80B-A3B on the NVIDIA RTX 5090?

Roughly 956 tokens per second at Q2_K, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.