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Model details

Qwen3.6 Plus

Qwen3.6 Plus is positioned as Qwen's multimodal agentic model, built on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing and an unusually long context window. That combination allows it to ingest entire codebases, lengthy documents, and multi-turn agent workflows without losing continuity. The design is paired with a thinking mode that preserves reasoning context across multi-turn sessions, which makes the model well suited to extended problem solving and step-by-step planning rather than single-shot answers.

Beyond raw reasoning, the model emphasizes practical agentic coding and visual understanding. Reported results include strong performance on repository-level autonomous coding benchmarks, high scores on scientific reasoning such as GPQA Diamond, and robust multimodal understanding measured by MMMU. It can translate UI screenshots and design mockups into production code, handle video inputs, and parse documents, making it a natural fit for teams building AI-assisted development tools, document automation pipelines, and interactive multimodal applications that need to maintain coherent reasoning over very long inputs.

Alibaba Token Plan (China)qwen3.6-plusqwen

Quick Info

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Provider
Alibaba Token Plan (China)
Model key
qwen3.6-plus
Release date
Apr 2, 2026
Last updated
Apr 2, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Latest news about Qwen3.6 Plus

Alibaba Token Plan (China)

CoverageBenchmark

Roboflow's model card for Qwen3.6 Plus characterizes it as a flagship model in Alibaba's Qwen Plus series targeting agentic workflows, coding, and multi-step reasoning, with a 1 million token context window and up to 65,536 output tokens plus built-in reasoning capabilities. The model is listed as closed, proprietary, Roboflow's vision evaluations place Qwen3.6 Plus at a 68.66% pass rate across 67 visual understanding tasks (25th of 77 models) and 58.52% on OCR across 229 tasks (49th of 58 models), with an average per-task latency of 29.81 seconds and a reported cost of $0.325 per million input tokens and $1.95 per million output to

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