qwen3-coder-480b-a35b-instruct
Qwen develops the Qwen3 Coder 480B A35B Instruct, a chat model capable of streaming, web search, code execution, function calling, and structured output. It is genuinely best at handling complex tasks with its large context window of 262,144 tokens.
Input
Output
Context
262K
Max Output
262K
Parameters
480B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for qwen3-coder-480b-a35b-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 qwen3-coder-480b-a35b-instruct
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
qwen3-coder-480b-a35b-instruct advertises a context window of 262,144 tokens, with a maximum output of 262,144 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. qwen3-coder-480b-a35b-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.
qwen3-coder-480b-a35b-instruct 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.
qwen3-coder-480b-a35b-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 qwen3-coder-480b-a35b-instruct is shown as not available rather than estimated.
Yes. qwen3-coder-480b-a35b-instruct is served on the managed pool through the OpenAI-compatible endpoint as Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo, 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 462.6 GB at INT8 for the weights and a default context, from the catalog's 480B 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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