Can Desktop PC · GeForce RTX 4090 · 64 GB RAM run Qwen3-Coder 30B-A3B Instruct?
24 GB VRAM + 64 GB RAM · 1008 GB/s memory bandwidth · Qwen3-Coder 30B-A3B Instruct has 30.5B parameters (3.3B active per token).
Short answer
Yes, excellent for chat and comfortable or better for every workload we test.
Best quantization for chat: Q5_K_M (20 GB of weights) on Ollama. Generation: 180–240 tok/s, leaving about 1.1 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Excellent | Q5_K_M | 180–240 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q4_K_M | 180–240 tok/s | under 1 s | 16K | Details |
| Coding in a repositorywith Aider | Comfortable | Q4_K_M | 130–170 tok/s | ≈2 s | 32K | Details |
| Agentic codingwith OpenCode | Comfortable | Q4_K_M | 110–150 tok/s | ≈2 s | 32K | Details |
| Long documents (64K)with Open WebUI | Excellent | Q3_K_M | 65–90 tok/s | ≈9 s | 64K | Details |
Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q3_K_M build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q3_K_M
Downloads 14.71 GB (Q3_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for Desktop PC · GeForce RTX 4090 · 64 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B240–330 tok/sExcellent
- Gemma 4 26B-A4B160–220 tok/sExcellent
- LFM2.5 24B-A2B360–490 tok/sExcellent
- Qwen3.5 35B-A3B240–330 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)240–330 tok/sExcellent
- gpt-oss-20b≈210 tok/sExcellent
Cheapest machines for Qwen3-Coder 30B-A3B Instruct
Hardware rated comfortable or better for chat, lowest price first.
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 20–35 tok/sComfortable
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 17–30 tok/sComfortable
- Mac mini M4 32 GB$1,399 · 25–35 tok/sExcellent
- Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5$1,400 · 11–18 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM$1,500 · 60–95 tok/sExcellent
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 50–65 tok/sExcellent
Same chip, other memory: 32 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.