Qwen3.5 27B from Alibaba: Qwen vision-language model for visual reasoning, documents, and agent tasks.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Qwen vision-language model for visual reasoning, documents, and agent tasks. The registry places it in the qwen family with a release date of 2026-02-23. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, image, video and audio, with text output. The registry lists a 262,144-token context window and up to 65,536 output tokens. It also declares reasoning, function calling and structured output. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
The registry marks Qwen3.5 27B as an open-weight model. Check the linked checkpoint’s licence and runtime requirements before downloading or deploying it. Open weights describe availability, while licence terms determine permitted use. Local inference still requires hardware; a hosted route can charge separately.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Test photographs, screenshots and documents with the detail your application needs to read. Include small text, crowded layouts and questions whose answer is absent. Check whether the answer is supported by the image instead of accepting a plausible description.
This is a registry-sourced profile. A model-specific publisher document has not yet been confirmed; access and specifications should be checked before an integration decision. SyncDev has not independently benchmarked Qwen3.5 27B.
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Qwen3.5 27B is listed for Audio-text-to-text, Image-text-to-text, Text generation, Video-text-to-text. It accepts text, image, video, audio and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 262.14K context and 65.54K maximum output. The listed route charges $0.30 input and $2.40 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under the publisher’s model licence. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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