Model details
Qwen3-Vl 30b A3b Thinking
Qwen3-VL 30B A3B Thinking belongs to the broader Qwen3-VL family, which is positioned as a vision-language series spanning Dense and Mixture-of-Experts architectures and offered in both standard Instruct and reasoning-enhanced Thinking editions. The "A3B" configuration signals an MoE design with roughly 3B active parameters, while the overall model card lists around 31B total parameters, giving it a sparse-expert footprint that aims to balance compute cost with capability. Hosting evidence from Fireworks AI confirms availability as a base model under the path accounts/fireworks/models/qwen3-vl-30b-a3b-thinking, with image input support, function calling, and an on-demand deployment option backed by Fireworks' dedicated-GPU serving stack, which is relevant for builders who need reliable capacity without rate-limit pressure.
Practically, the Thinking variant is shaped for workloads where visual grounding and chain-of-thought reasoning matter together, such as document and chart analysis, multi-image or video-frame understanding, spatial reasoning tasks, and agent-style pipelines that call tools based on what the model sees. The Qwen3-VL series description highlights stronger text understanding, deeper visual perception, extended context handling, video dynamics comprehension, and improved agent interaction, which together make the 30B A3B Thinking edition a flexible middle ground between lightweight edge VLMs and heavier cloud-scale reasoning models. It fits teams that want a vision-capable reasoning model on multimodal inputs without stepping up to the largest flagship checkpoints, especially when paired with on-demand GPU serving for consistent throughput.
Quick Info
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- Qiniu
- Model key
- qwen3-vl-30b-a3b-thinking
- Release date
- Feb 9, 2026
- Last updated
- Feb 9, 2026
- Input modalities
- Output modalities
- Capabilities
Limits
- Output tokens
- 32,000 tokens
- Context window
- 128,000 tokens