Qwen 3 32B
Qwen 3 32B is a chat model developed by Qwen, offering capabilities such as function calling, JSON mode, reasoning, streaming, and text generation, with a context window of 40,960 tokens. It is genuinely best at tasks that require human preference alignment, excelling in creative writing, role-playing, and instruction following, and also demonstrates expertise in agent capabilities and multilingual support.
Input
Output
Context
41K
Max Output
41K
Parameters
32.8B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Benchmarks
Resources & Links
Estimated GPU requirements for Qwen 3 32B
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 32B
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Qwen 3 32B advertises a context window of 40,960 tokens, with a maximum output of 40,960 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 32B 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 32B 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.
Qwen 3 32B 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 32B is shown as not available rather than estimated.
Yes. Qwen 3 32B is served on the managed pool through the OpenAI-compatible endpoint as Qwen/Qwen3-32B, 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 32.2 GB at INT8 for the weights and a default context, from the catalog's 32.8B 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 13, 2026
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