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

作者: Jakub Rusinowski · 最后更新: 2026年7月12日

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)24–49 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)Does not fit — needs ~44 GB of 16 GB usable
购买此硬件 AMD Radeon RX 9060 XT 16GB — 16 GB VRAM · 160 W board power立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07

或在 Vast.ai 比较,低至 $0.35/小时 (typical low · varies)

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AMD Radeon RX 9060 XT 16GB
16 GB VRAM · 160 W board power
2026年价格波动较大——请以当前商品页价格为准。
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LLMs Compatible with 16 GB VRAM

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

Mistral FamilyMistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · ollama run mistral-small
Magistral SmallMagistral Small 24B · 15 GB VRAM · Q4_K_M · ollama run magistral:24b
Mistral Small 3.1Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · ollama run mistral-small3.1
Mistral Small 3.2Mistral Small 3.2 24B · 15 GB VRAM · Q4_K_M · ollama run mistral-small:24b
CodestralCodestral 22B · 14 GB VRAM · Q4_K_M · ollama run codestral:22b
EuroLLMEuroLLM 22B · 14 GB VRAM · Q4_K_M · eurollm
InternLM 3InternLM 3 20B Instruct · 13 GB VRAM · Q4_K_M · ollama run internlm3:20b
StarCoder 2StarCoder 2 15B · 10 GB VRAM · Q4_K_M · ollama run starcoder2:15b

42 more families also fit 16 GB — browse the full model library.

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 is estimated to run Llama 3.1 8B at 24–49 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 16 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 16 GB VRAM?

With 16 GB you can run: Mistral Family, Magistral Small, Mistral Small 3.1, Mistral Small 3.2, Codestral. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — AMD Radeon RX 9060 XT 16GB

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