AMD Radeon RX 9060 XT 16GB — Local LLM Performance & Compatibility

Affordable 16 GB RDNA 4 card. Lower bandwidth than the 9070-series, but the VRAM capacity fits all 13–14B models at Q4. Good ROCm support on Linux.

Technical Specifications

VRAM16 GB
Memory Bandwidth320 GB/s
TDP160 W
ArchitectureRDNA 4 Navi 44
Release Year2025
MSRP at Launch$349
Inference Speed (Llama 3.1 8B Q4_K_M)~58 tokens/sec

LLMs Compatible with 16 GB VRAM

All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Qwen 310 GB VRAM · Q4_K_M · ollama run qwen3:14b
Gemma 316 GB VRAM · Q4_K_M · ollama run gemma3:27b
Phi-4 Family10 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family16 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R110 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b
Qwen 2.5 Family10 GB VRAM · Q4_K_M · ollama run qwen2.5:14b

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the AMD Radeon RX 9060 XT 16GB run local LLMs?

Yes — the AMD Radeon RX 9060 XT 16GB has 16 GB VRAM and runs Affordable 16 GB RDNA 4 card. Lower bandwidth than the 9070-series, but the VRAM capacity fits all 13–14B models at Q4.

How fast is the AMD Radeon RX 9060 XT 16GB for AI inference?

The AMD Radeon RX 9060 XT 16GB runs Llama 3.1 8B at ~58 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 16 GB VRAM?

With 16 GB you can run: Llama 3.1 Family, Qwen 3, Gemma 3, Phi-4 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run qwen3:14b.

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Can I Run These Models on the AMD Radeon RX 9060 XT 16GB?

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