AMD Radeon RX 7800 XT — Local LLM Performance & Compatibility

Written by Jakub Rusinowski · Last updated July 12, 2026

16 GB VRAM at an excellent AMD price point. 68 t/s on 8B models. Works via ROCm on Linux or Vulkan/DirectML on Windows.

Technical Specifications

VRAM16 GB
Memory Bandwidth624 GB/s
TDP263 W
ArchitectureRDNA 3 Navi 32
Release Year2023
MSRP at Launch$499
Inference Speed (Llama 3.1 8B Q4_K_M)39–81 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)Does not fit — needs ~44 GB of 16 GB usable
Buy This HardwareAMD Radeon RX 7800 XT 16GB — 16 GB VRAM · 263 W board powerDeploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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AMD Radeon RX 7800 XT 16GB
16 GB VRAM · 263 W board power
2026 prices are volatile — check the current listing.
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LLMs Compatible with 16 GB VRAM

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

Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
Qwen 3Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b
Gemma 3Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · ollama run gemma3:12b
Phi-4 FamilyPhi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 MiniPhi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral FamilyMistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R1DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b
Qwen 2.5 FamilyQwen 2.5 14B Instruct · 9 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 7800 XT run local LLMs?

Yes — the AMD Radeon RX 7800 XT has 16 GB VRAM and runs 16 GB VRAM at an excellent AMD price point. 68 t/s on 8B models. Works via ROCm on Linux or Vulkan/DirectML on Windows.

How fast is the AMD Radeon RX 7800 XT for AI inference?

The AMD Radeon RX 7800 XT is estimated to run Llama 3.1 8B at 39–81 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: Llama 3.1 Family, Qwen 3, Gemma 3, Phi-4 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — AMD Radeon RX 7800 XT

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