Qwen 3.6 Plus Preview
Qwen 3.6 Plus Preview is a chat model from Alibaba, released on 2026-03-31. It accepts text, image, and video input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.500/ 1M | $3.00/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | 5m | $0.625/ 1M | $0.050/ 1M |
Qwen 3.6 Plus Preview currently shows benchmark results led by MMLU Pro (5 / 132, score 88.50), LiveCodeBench (10 / 123, score 87.10), GPQA Diamond (19 / 187, score 90.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Qwen 3.6 Plus Preview is a chat model from Alibaba, released on 2026-03-31.
It accepts text, image, and video input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 1M, and the recorded maximum output is 64K.
The model weights are proprietary and are not published for download. The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 18 cataloged benchmark results with their recorded modes and scores. The page links 2 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.
Qwen 3.6 Plus Preview is a chat model from Alibaba, released on 2026-03-31. It accepts text, image, and video input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
The current model record lists text, image, and video as input and text as output.
The recorded context window is 1M, and the recorded maximum output is 64K. Fields without a source-backed value remain undisclosed.
The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment.
The evaluation section contains 18 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.
The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.
Follow DataLearner on WeChat for AI model updates and research notes.
