QwenQwen3.5-122B-A10B on NVIDIA GeForce RTX 5090
Yes — RTX 5090 handles Qwen3.5-122B-A10B well at Q3_K_M — 98 tok/s. Solid daily-driver performance on 32 GB VRAM.
Model Size
122B
Device VRAM
32 GB
Bandwidth
1792 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-122B-A10B on NVIDIA GeForce RTX 5090 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 | 98 tok/s | 82ms | ✓ Yes | Good | estimated |
Notes
Q3_K_M
Compressed Q3_K_M (28GB, 4GB headroom). MoE: only 10B params active per token — faster than total size suggests.
About Qwen3.5-122B-A10B
Qwen3.5-122B-A10B (122B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mixture-of-Experts with 122B total parameters but only 10B active per token. Runs on far less VRAM than the total size suggests. Qwen's best open-weight MoE in the medium tier; excels at knowledge-heavy and vision tasks. Native multimodal. Apache 2.0 licensed.
View all Qwen3.5-122B-A10B hardware options →About NVIDIA GeForce RTX 5090
NVIDIA GeForce RTX 5090 has 32 GB at 1792 GB/s. Street price: $2,199.
See all models NVIDIA GeForce RTX 5090 can run →Builds with NVIDIA GeForce RTX 5090
Estimate method: Estimated from Qwen 3 32B and MoE benchmarks with size/architecture scaling. Reference hardware source: github.com (2026-03-24)
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.