Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 3090
NVIDIA GeForce RTX 3090 handles Qwen 2.5 Coder 32B Instruct well at 18 tok/s at Q4_K_M. A solid choice for this model.
Model Size
32.5B
Device VRAM
24 GB
Bandwidth
936 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Qwen 2.5 Coder 32B Instruct performance at a different quality level on NVIDIA GeForce RTX 3090.
| 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 is strong.
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.
See all models NVIDIA GeForce RTX 3090 can run →Builds with NVIDIA GeForce RTX 3090

Extreme AI Workstation
2x NVIDIA GeForce RTX 3090 (Used) · 128GB DDR5-5600 (4x32GB)

High-End Home AI Server
2x NVIDIA GeForce RTX 3090 24GB (Used) + NVLink Bridge · 128GB DDR5-5600 (4x32GB)

Mid-Range Home AI Server
NVIDIA GeForce RTX 3090 24GB (Used) · 64GB DDR5-5600 (2x32GB)
Source: Community reports (2026-01-15)
Data last updated: 2026-03-01