Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 5060 Ti 16GB

RTX 5060 Ti 16GB runs Qwen 2.5 Coder 32B Instruct at Q3_K_M — 11 tok/s. Usable on 16 GB VRAM — see full quantization options below.

Model Size

32.5B

Device VRAM

16 GB

Bandwidth

448 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 5060 Ti 16GB 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	11 tok/s	800ms	✓ Yes	Acceptable	estimated

Notes

Q3_K_M

Tight fit at Q3 (14.8GB on 16GB). Usable for code completion but Q3 quality loss is noticeable. Low bandwidth (288 GB/s) limits speed. Estimated for rtx-5060-ti-16gb; verify with community benchmarks.

About Qwen 2.5 Coder 32B Instruct

Qwen 2.5 Coder 32B Instruct (32.5B) is a coding, ai coding, ai building model. The coding model that defines the builder workflow. Matches GPT-4 on HumanEval. This is what Cursor and Continue.dev users run locally when they want to eliminate API dependency. Apache 2.0 license. The cornerstone of the 'Full AI Builder' profile.

View all Qwen 2.5 Coder 32B Instruct 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.