Qwen 3 30B A3B Instruct 2507
Qwen develops the Qwen 3 30B A 3B Instruct 2507 model, a chat model exceling at instruction following, logical reasoning, and text comprehension, with substantial gains in long-tail knowledge coverage across multiple languages. Notably, it features a 262,144 native context length, allowing for long-context understanding.
Input
Output
Context
262K
Max Output
32K
Parameters
30.5B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Resources & Links
Estimated GPU requirements for Qwen 3 30B A3B Instruct 2507
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 30B A3B Instruct 2507
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Qwen 3 30B A3B Instruct 2507 advertises a context window of 262,144 tokens, with a maximum output of 32,000 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 30B A3B Instruct 2507 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 30B A3B Instruct 2507 accepts Text 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.
No published benchmark result for Qwen 3 30B A3B Instruct 2507 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Qwen 3 30B A3B Instruct 2507 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 30.0 GB at INT8 for the weights and a default context, from the catalog's 30.5B 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: Aug 28, 2026
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