
Qwen3-VL-30B-A3B
Alibaba's efficient MoE vision-language model: 30B total, 3.3B active per token.
About
Qwen3-VL-30B-A3B is the efficiency play in Alibaba's Qwen3-VL series, released September 22, 2025 under Apache 2.0. The mixture-of-experts design holds 30.5B total parameters but activates only about 3.3B per token, delivering near-32B-dense-class visual reasoning at a fraction of the inference cost. It ships in Instruct and Thinking variants with a 256K-token context window, covering spatial understanding, document VQA, video analysis, and GUI agent tasks.
The honest picture: MoE efficiency is real, but routing overhead and the complexity of serving MoE checkpoints mean the practical savings depend heavily on your inference stack; vLLM handles it well, naive transformers serving less so. As the mid-tier of the Qwen3-VL line it sits between the nimble 8B and the flagship 235B MoE, and newer Qwen3.5-VL models have since taken the spotlight. Still, for cost-sensitive multimodal serving it remains one of the best open options.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 117; Trending score 86/100 from researcher assessment.
More in the qwen3 family
- Qwen3-Next-80B-A3B
- Qwen3-235B-A22B
- Qwen3-235B-A22B-2507
- Qwen3-4B-Instruct-2507
- Qwen3-8B
- Qwen3.5
- Qwen3-235B-A22B-Instruct-2507
- Qwen3 235B
- Qwen3-235B-A22B-Thinking-2507
- Qwen3-Omni-Flash
- Qwen3.6-27B
- Qwen3-32B
- Qwen3-Max
- Qwen3.8-Flash-Next
- Qwen3-Coder-Plus
- Qwen3
- Qwen3-0.6B
- Qwen3-4B
- Qwen3-Coder-Next
- Qwen3-4B-2507
- Qwen3-14B
- Qwen3-1.7B
- Qwen3-Omni-30B-A3B