Qwen3-Coder — Local AI Model by Alibaba Cloud

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月10日

Alibaba's dedicated coding line. The 480B-A35B flagship holds state-of-the-art among open models on SWE-bench Verified and agentic coding at release (Qwen positions it comparable to Claude Sonnet 4), while the 80B-A3B variant delivers most of that quality with only 3B active parameters — cheap enough to self-host. Best-in-class open weights for repo-level coding, debugging, and code review.

Hardware Requirements

Qwen3-Coder 8B	Min 6 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run qwen3-coder:8b`
Qwen3-Coder 80B-A3B (MoE)	Min 49 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run qwen3-coder:80b-a3b-q4`
Qwen3-Coder 480B-A35B (MoE)	Min 291 GB VRAM · Q4_K_M · 256,000 ctx · `ollama run qwen3-coder:480b-a35b`

Recommended GPU

The cheapest GPU that runs Qwen3-Coder locally (min 6 GB VRAM) is the Intel Arc B570 (10 GB).

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

Intel Arc B570 10GB

首发建议零售价：$219

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

How to Run Locally

Install Ollama then run: ollama run qwen3-coder:8b

Minimum VRAM: 6 GB. For best results use Q4_K_M quantization.

Qwen3-Coder — Frequently Asked Questions

How much VRAM does Qwen3-Coder need?

Qwen3-Coder needs about 6 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Qwen3-Coder 8B (6 GB, Q4_K_M); Qwen3-Coder 80B-A3B (MoE) (49 GB, Q4_K_M); Qwen3-Coder 480B-A35B (MoE) (291 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Qwen3-Coder on an RTX 4090 (24 GB)?

Yes — Qwen3-Coder runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Qwen3-Coder?

Q4_K_M is the best balance of quality and VRAM for Qwen3-Coder in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Qwen3-Coder with Ollama?

Install Ollama, then run: ollama run qwen3-coder:8b. This downloads Qwen3-Coder and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.