AMD Radeon RX 9060 XT 8GB for local LLMs
Written by Jakub Rusinowski · Last updated
With 8 GB at 320 GB/s, the RX 9060 XT 8GB runs 59 catalogued models at Q4_K_M with 8K context. The largest that fits is K2 Horizon 7B (~7.4 GB), and the top pick is Qwen 3.5 9B at 22–46 tok/s.
Entry-level RDNA 4 card at $299. 8 GB VRAM covers 7–8B models in Q4. Same Navi 44 chip and bandwidth as the 16GB variant.
Models that run on the RX 9060 XT 8GB
Q4_K_M, 8K context, 8 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 8 GB | VRAM | Speed |
|---|---|---|---|
| Qwen 3.5 9B Qwen 3.5 | 6.6 GB | 22–46 tok/s | |
| GLM-4 9B GLM-4.7 / GLM-Z1 | 6.2 GB | 20–41 tok/s | |
| GLM-4.6V-Flash 9B GLM-4.6V | 6.2 GB | 20–41 tok/s | |
| EuroLLM 9B EuroLLM | 6.2 GB | 20–41 tok/s | |
| MiMo-V2.6 Distill 9B MiMo-V2.6 | 6.5 GB | 23–47 tok/s | |
| Ternary Bonsai 2 9B Ternary Bonsai 2 | 6.5 GB | 23–47 tok/s | |
| InternLM 3 8B Instruct InternLM 3 | 6.5 GB | 22–47 tok/s | |
| LFM2.5-8B-A1B LFM2.5 | 5.8 GB | 51–106 tok/s | |
| Qwen 3 8B Qwen 3 | 7 GB | 21–44 tok/s | |
| Aya Expanse 8B Aya Expanse | 6.7 GB | 22–45 tok/s | |
| Ministral 8B Ministral | 6.9 GB | 21–44 tok/s | |
| Gemma 4 E4B Gemma 4 | 5.6 GB | 22–45 tok/s |
Buy it or rent the same memory
Buy the card, or rent a GPU with the same memory by the hour to try models first.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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Speed vs other GPUs
Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated
Specifications
Specs last updated 2026-07-12.
- Memory
- 8 GB
- Memory bandwidth
- 320 GB/s
- Architecture
- RDNA 4 Navi 44
- Series
- RX 9000-series
- Board power
- 150 W
- Release year
- 2025
- Launch price
- $299
- Usable for models
- 8 GB
Similar GPUs
Frequently asked questions
Can the AMD Radeon RX 9060 XT 8GB run local LLMs?
Yes. With 8 GB (8 GB usable by a model) it runs 59 of the catalogued models at Q4_K_M with 8K context; the largest is K2 Horizon 7B, needing about 7.4 GB.
How fast is the AMD Radeon RX 9060 XT 8GB for AI inference?
It is estimated to run Llama 3.1 8B at 24–49 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 8 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 8 GB?
Among the best that fit: Qwen 3.5 9B, GLM-4 9B, GLM-4.6V-Flash 9B, EuroLLM 9B, MiMo-V2.6 Distill 9B. The quickest start is Ollama: ollama run llama3.1:8b.
Keep going
Can I run it on the RX 9060 XT 8GB?
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