L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can RTX 5090 run Qwen/Qwen3-4B-Base?

Runs Q432GB VRAM availableRequires 2GB+

RTX 5090 meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-4B-Base. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 can run Qwen/Qwen3-4B-Base with Q4 quantization. At approximately 274 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 30GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB32GB273.79 tok/s✅ Fits comfortably
Q84GB32GB221.72 tok/s✅ Fits comfortably
FP169GB32GB120.36 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
806.64 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
690.03 tok/s
Price: —
AMD Instinct MI300X
192GB
577.09 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
451.64 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
444.59 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for Qwen/Qwen3-4B-BaseQwen/Qwen3-4B-Base speed on RTX 5090Qwen/Qwen3-4B-Base Q4 requirements