MistralMistral Large 2 123B on NVIDIA RTX PRO 6000 Blackwell Max-Q
RTX PRO 6000 Blackwell Max-Q runs Mistral Large 2 123B at Q5_K_M — 12 tok/s. Usable on 96 GB VRAM — see full quantization options below.
Model Size
123B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Large 2 123B on NVIDIA RTX PRO 6000 Blackwell Max-Q at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 12 tok/s | 630ms | ✓ Yes | Acceptable | estimated |
Notes
Q5_K_M
96 GB GDDR7 fits Q5_K_M (82 GB) with 14 GB headroom. 1.8 TB/s bandwidth. High quality quantization with good speed.
About Mistral Large 2 123B
Mistral Large 2 123B (123B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mistral's flagship 123B parameter model. Wide multilingual performance and code generation. 128K context window. Requires multi-GPU or high-memory Apple Silicon for home use. At Q3/Q2, fits on 2x RTX 4090 or 64 GB+ Apple Silicon.
View all Mistral Large 2 123B hardware options →About NVIDIA RTX PRO 6000 Blackwell Max-Q
NVIDIA RTX PRO 6000 Blackwell Max-Q has 96 GB at 1800 GB/s. Street price: $7,000.
See all models NVIDIA RTX PRO 6000 Blackwell Max-Q can run →Estimate method: Estimated from full RTX PRO 6000 with ~8% reduction for Max-Q 300W power envelope. Reference hardware source: nvidia.com (2026-03-29)
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.