MistralMixtral 8x7B Instruct on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX handles Mixtral 8x7B Instruct well at Q3_K_M — 30 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
46.7B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mixtral 8x7B Instruct on AMD Radeon RX 7900 XTX at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 30 tok/s | 349ms | ✓ Yes | Good | estimated |
Notes
Q3_K_M
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q3_K_M fits in VRAM on this card. MoE models still have to load the full expert pool into memory.
About Mixtral 8x7B Instruct
Mixtral 8x7B Instruct (46.7B) is a chat, coding, reasoning, multi-purpose model. Mixture-of-Experts model: 46.7B total params but only ~12.9B active per token. Quality closer to a 13B dense model with inference speed to match. Needs more VRAM for the full weight set though.
View all Mixtral 8x7B Instruct hardware options →About AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-4090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.