QwenQwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB
RTX 4060 Ti 16GB runs Qwen 2.5 Coder 32B Instruct at Q3_K_M — 10 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
32.5B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4060 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 | 10 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.
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 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Extrapolated from similar model sizes. 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.