qwen
30B parameters
Commercial OK
Reviewed July 2026

Qwen3 Coder 30B-A3B

Qwen3 Coder 30B-A3B is Alibaba's coding-specialized MoE (30B total, 3B active) under Apache-2.0, sitting at 7.4M Ollama pulls. It is the entry point into Alibaba's dedicated Qwen3-Coder line, whose smallest official variant starts at 30B.

License: Apache-2.0·Context: 131,072 tokens

Overview

Qwen3 Coder 30B-A3B is Alibaba's coding-specialized MoE (30B total, 3B active) under Apache-2.0, sitting at 7.4M Ollama pulls. It is the entry point into Alibaba's dedicated Qwen3-Coder line, whose smallest official variant starts at 30B.

Strengths

  • Apache-2.0 license with commercial use allowed
  • MoE (3B active) decodes fast relative to its 30B total size
  • High adoption: 7.4M Ollama pulls for the coding-specialist line

Weaknesses

  • No smaller official Qwen3-Coder variant exists below 30B
  • Coding-specialized training — general chat quality not the design target
BLK · QUALITY BENCHMARKreviewed · raw logs

Reviewed quality benchmarks

First-party rows were run by RunLocalAI; reviewed community rows are labeled in the data. Every row links to the raw test-run log.

BenchmarkQuantRuntime / HardwareScoreRaw log
HumanEval+
tested 2026-07-20
Q4_K_M
ollama-0.32.1-vast5090
rtx-5090
87.8/100
Gist →

Q4_K_M note:First-party HumanEval+ on a rented Vast.ai RTX 5090 32GB instance via Ollama 0.32.1. Generation via evalplus_openai_generate.py, scoring via evalplus.evaluate (native Linux, no Windows shim needed). No DB credentials were placed on the rented host — results were pulled back and ingested from the operator's machine.

Want to verify? Every row links to its Gist with full stdout and stderr of the run. The runner script is in the public repo (scripts/run-humaneval-plus.ts) — reproducible end-to-end. Browse all coding scores at /benchmarks/coding.

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M19.0 GB23 GB

Get the model

Ollama

One-line install

ollama run qwen3-coder:30bRead our Ollama review →

Hardware that runs this

Cards with enough VRAM for at least one quantization of Qwen3 Coder 30B-A3B.

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Frequently asked

What's the minimum VRAM to run Qwen3 Coder 30B-A3B?

23GB of VRAM is enough to run Qwen3 Coder 30B-A3B at the Q4_K_M quantization (file size 19.0 GB). Higher-quality quantizations need more.

Can I use Qwen3 Coder 30B-A3B commercially?

Yes — Qwen3 Coder 30B-A3B ships under the Apache-2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Qwen3 Coder 30B-A3B?

Qwen3 Coder 30B-A3B supports a context window of 131,072 tokens (about 131K).

How do I install Qwen3 Coder 30B-A3B with Ollama?

Run `ollama pull qwen3-coder:30b` to download, then `ollama run qwen3-coder:30b` to start a chat session. The default quantization is Q4_K_M.

Source: Vendor official documentation

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Qwen3 Coder 30B-A3B runs on your specific hardware before committing money.