Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4070 Ti Super

RTX 4070 Ti Super runs Qwen 2.5 Coder 32B Instruct at Q3_K_M — 16 tok/s. Usable on 16 GB VRAM — see full quantization options below.

Model Size

32.5B

Device VRAM

16 GB

Bandwidth

672 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 4070 Ti Super 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	16 tok/s	600ms	✓ Yes	Acceptable	estimated

Notes

Q3_K_M

Same VRAM constraint as 4060 Ti but 2.3x bandwidth yields better speed. Still Q3 quality compromise.

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 4070 Ti Super

NVIDIA GeForce RTX 4070 Ti Super has 16 GB at 672 GB/s. Street price: $779.

See all models NVIDIA GeForce RTX 4070 Ti Super can run →

Estimate method: Extrapolated from bandwidth scaling. Reference hardware source: github.com (2026-01-15)

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.