Qwen 2.5 Coder 32B Instruct on NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 handles Qwen 2.5 Coder 32B Instruct well at 25 tok/s at Q4_K_M. A solid choice for this model.
Model Size
32.5B
Device VRAM
24 GB
Bandwidth
1008 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 4090.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 25 tok/s | 350ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Q4 fits with 5.6GB headroom. This is the builder sweet spot — good quality, good speed, room for embeddings.
Running concurrently with nomic-embed-text (0.5GB): total ~19GB VRAM, leaving 5GB free. Speed impact negligible.
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 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Source: Community reports for 32B models on 4090 (2026-01-15)
Data last updated: 2026-03-01