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NVIDIA GeForce RTX 5060 Ti 16GB
QwenQwen
Compatibility Report

Qwen3.5-122B-A10B on NVIDIA GeForce RTX 5060 Ti 16GB

RTX 5060 Ti 16GB cannot run Qwen3.5-122B-A10B. 16 GB VRAM is insufficient at any quantization level.

Model Size

122B

Device VRAM

16 GB

Bandwidth

448 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Qwen3.5-122B-A10B on NVIDIA GeForce RTX 5060 Ti 16GB at Q3_K_M. This pairing has limitations — check the rating and notes below.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q3_K_M––✗ OffloadNot viableestimated

Notes

Q3_K_M

Q3_K_M needs 28GB; 16GB far too small. All 122B expert weights must reside in memory. Estimated for rtx-5060-ti-16gb; verify with community benchmarks.

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 5060 Ti 16GB

NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB at 448 GB/s. Street price: $429.

See all models NVIDIA GeForce RTX 5060 Ti 16GB can run →

Estimate method: Estimated from rtx-4060-ti-16gb matrix rows scaled for rtx-5060-ti-16gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.com (2026-05-26)

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.

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Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

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