Qwen3-VL 30B-A3B
Qwen3-VL 30B-A3B is an open-weights language model from Qwen, released April 1, 2025. It has 31B parameters (mixture-of-experts, 3B active). The context window is 128K tokens. API price: $0.2 input / $0.8 output per million tokens.
We introduce Qwen3-VL, the most capable vision-language model in the Qwen series to date, achieving superior performance across a broad range of multimodal benchmarks. It natively supports interleaved contexts of up to 256K tokens, seamlessly integrating text, images, and video.
Check it against your own PC →
Can you run Qwen3-VL 30B-A3B locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, GPU + experts in RAM, roughly 24 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs · GPU + CPU experts | Q6_K (≈ lossless) | 5.2 GB | 22.5 GB | ~24 |
| 8 GB VRAM | Runs · GPU + CPU experts | Q6_K (≈ lossless) | 7.2 GB | 20.5 GB | ~28 |
| 12 GB VRAM | Runs · GPU + CPU experts | Q6_K (≈ lossless) | 11.2 GB | 16.5 GB | ~34 |
| 16 GB VRAM | Runs · GPU + CPU experts | Q6_K (≈ lossless) | 15.2 GB | 12.5 GB | ~43 |
| 24 GB VRAM | Runs on GPU | Q4_K_M (very good) | 21.2 GB | – | ~230 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 27.7 GB | – | ~300 |
Ready-made quantizations on Hugging Face: Qwen/Qwen3-VL-30B-A3B-Instruct-GGUF · unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF · lmstudio-community/Qwen3-VL-30B-A3B-Instruct-GGUF · bartowski/Qwen_Qwen3-VL-30B-A3B-Instruct-GGUF · QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ · cyankiwi/Qwen3-VL-30B-A3B-Instruct-AWQ-4bit
Benchmark results
Epoch AI has not published results for Qwen3-VL 30B-A3B yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: Qwen/Qwen3-VL-30B-A3B-Instruct
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