Top local coding model for 24 GB GPUs and 32 GB Macs. Made by Alibaba.
Qwen3 Coder 30B is a coding model from Alibaba. Top local coding model for 24 GB GPUs and 32 GB Macs. Running it locally needs about 20.4 GB of memory, and the download is 19 GB. It is a mixture of experts model: only about 2.1 GB of its weights are read for each word, so it generates much faster than a dense model of the same size, but all 19 GB still has to fit in memory.
The least memory you need, by Apple chip:
Runs well on: RTX 3090, RTX 4090, RTX 5090, Radeon RX 7900 XTX. Runs slowly with help from system RAM on: RTX 3060 12GB, RTX 3070, RTX 3080 10GB, RTX 4060, RTX 4060 Ti 16GB, RTX 4070 / 4070 Super, RTX 4070 Ti Super, RTX 4080 / 4080 Super, RTX 5060, RTX 5060 Ti 16GB, RTX 5070, RTX 5070 Ti, RTX 5080, Radeon RX 7800 XT, Radeon RX 9070 XT.
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About 20.4 GB of video memory or unified memory (the download is 19 GB, plus room for the conversation). On a Mac, the smallest configuration that runs it is 24 GB.
A 16 GB M4 Mac cannot run it. An 8 GB M1 Mac cannot run it.
Yes, the model is free to download. Its licence is listed as Apache 2.0. That is a permissive licence that allows commercial use.
Install Ollama, then run: ollama run qwen3-coder:30b
| Machine | Verdict | Speed |
|---|---|---|
| M1 8GB | Too big | |
| M4 16GB | Too big | |
| M4 32GB | Runs great | 17 words/s |
| M4 Pro 48GB | Runs great | 39 words/s |
| M4 Max 128GB | Runs great | 79 words/s |
| M3 Ultra 512GB | Runs great | 118 words/s |
| RTX 4060 | Slow | 11 words/s |
| RTX 4070/4070 Super | Slow | 16 words/s |
| RTX 5070 Ti | Slow | 26 words/s |
| RTX 3090 | Runs great | 116 words/s |
| RTX 5090 | Runs great | 188 words/s |
| Ryzen AI Max+ 395 128GB | Runs great | 32 words/s |
| CPU only 32GB | Slow | 8 words/s |