Qwen3.6-Max-Preview
Qwen3.6-Max-Preview is an AI model published by 阿里巴巴, released on 2026-04-20, for AI model, with 10000.0B parameters, and 262K tokens context length, with no open-source license.
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 | Context <= 128 | $1.30/ 1M | $7.80/ 1M |
| Text | Context > 128 | $2.00/ 1M | $12.00/ 1M |
Qwen3.6-Max-Preview currently shows benchmark results led by SWE-Bench Pro - Public (7 / 36, score 57.30), Terminal Bench 2.0 (9 / 43, score 65.40), GDPval-AA (11 / 20, score 51). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Qwen3.6-Max-Preview is an AI model published by 阿里巴巴, released on 2026-04-20, for AI model, with 10000.0B parameters, and 262K tokens context length, with no open-source license.
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