QwenQwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 3090
Yes — RTX 3090 handles Qwen 2.5 Coder 32B Instruct well at Q4_K_M — 18 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
32.5B
Device VRAM
24 GB
Bandwidth
936 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 3090 at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 18 tok/s | 450ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Fits on the 3090 at Q4 with ~5.6GB headroom. Slightly slower than 4090 due to lower compute, but the 936 GB/s bandwidth helps.
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 3090
NVIDIA GeForce RTX 3090 has 24 GB at 936 GB/s. Street price: $899.
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Estimate method: Community reports. 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.