Qwen 3.6 35B A3B FP8
Qwen develops the Qwen 3.6 35B A 3B, a chat model that excels at agentic coding, handling frontend workflows and repository-level reasoning with fluency and precision. Its notable technical trait is a large context window of 262,144 tokens, allowing for extensive and nuanced conversations.
Input
Output
Context
262K
Max Output
82K
Parameters
36B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Benchmarks
Resources & Links
Estimated GPU requirements for Qwen 3.6 35B A3B FP8
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 3.6 35B A3B FP8
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Qwen 3.6 35B A3B FP8 advertises a context window of 262,144 tokens, with a maximum output of 81,920 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 3.6 35B A3B FP8 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 3.6 35B A3B FP8 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 3.6 35B A3B FP8 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 3.6 35B A3B FP8 is shown as not available rather than estimated.
Yes. Qwen 3.6 35B A3B FP8 is served on the managed pool through the OpenAI-compatible endpoint as Qwen/Qwen3.6-35B-A3B, 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 35.3 GB at INT8 for the weights and a default context, from the catalog's 36B 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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