Qwen 3 VL 30B A3B Instruct
Qwen builds the Qwen 3 VL 30B A 3B Instruct model, a chat model capable of function calling, JSON mode, reasoning, streaming, text generation, and vision, with a notable context window of 262,144 tokens. It excels in multimodal reasoning, particularly in STEM and math, with capabilities such as causal analysis and logical, evidence-based answers.
Input
Output
Context
131K
Max Output
33K
Parameters
30B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Served variants
The same model in other encodings or serving configurations. Requesting qwen3-vl-30b-a3b-instruct lets routing pick among them; the ids below pin one build.
qwen3-vl-30b-a3b-instruct:fp8quantized
Benchmarks
Resources & Links
Estimated GPU requirements for Qwen 3 VL 30B A3B Instruct
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Qwen 3 VL 30B A3B Instruct
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Qwen 3 VL 30B A3B Instruct advertises a context window of 131,072 tokens, with a maximum output of 32,768 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Qwen 3 VL 30B A3B Instruct is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Qwen 3 VL 30B A3B Instruct accepts Text and Image and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Qwen 3 VL 30B A3B Instruct has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Qwen 3 VL 30B A3B Instruct is shown as not available rather than estimated.
Yes. Qwen 3 VL 30B A3B Instruct is served on the managed pool through the OpenAI-compatible endpoint as qwen3-vl-30b-a3b-instruct, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
About 29.5 GB at INT8 for the weights and a default context, from the catalog's 30B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 22, 2026
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