1"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[37056],{37056:e=>{e.exports=JSON.parse('{"meta":{"title":"Qwen 3.6 Plus - Proprietary Agentic Model with 1M Context and preserve_thinking","description":"Qwen 3.6 Plus is Alibaba\'s proprietary hosted model with 1M token context. 78.8% on SWE-bench Verified, 61.6 on Terminal-Bench 2.0 (beats Claude 4.5 Opus), and preserve_thinking for agent loops. OpenAI-compatible API.","keywords":"Qwen 3.6 Plus, proprietary model, Alibaba Cloud, 1M context, SWE-bench, Terminal-Bench, preserve_thinking, agentic AI, OpenAI-compatible API, coding AI, reasoning AI, MCPMark, QwenClawBench"},"page":{"hero":{"eyebrow":"Qwen 3.6 Plus","title":"1M context, agentic mastery - the proprietary model that outperforms Claude 4.5 Opus on terminal tasks","description":"Qwen 3.6 Plus is Alibaba\'s proprietary hosted model with a 1M token context window. It scores 78.8% on SWE-bench Verified, 61.6 on Terminal-Bench 2.0 (beating Claude 4.5 Opus at 59.3), and introduces preserve_thinking for seamless agent loops. Available via OpenAI-compatible API since March 31, 2026.","primaryAction":{"label":"Start Chatting"},"secondaryAction":{"label":"View benchmarks"}},"capabilities":{"heading":{"label":"Capabilities","title":"Purpose-built for agentic workflows and long-context tasks","description":"Qwen 3.6 Plus combines a 1M token context window with the preserve_thinking parameter and top-tier coding benchmarks to deliver a model optimized for complex, multi-step agent pipelines."},"items":[{"title":"Elite software engineering","description":"78.8% on SWE-bench Verified and 56.6 on SWE-bench Pro. Resolves real-world GitHub issues with deep codebase understanding across the full 1M context window."},{"title":"Terminal mastery","description":"61.6 on Terminal-Bench 2.0 - surpassing Claude 4.5 Opus (59.3). Handles complex multi-step terminal workflows, debugging sessions, and system administration with expert proficiency."},{"title":"Agentic tool use","description":"57.2 on QwenClawBench and 48.2 on MCPMark for tool orchestration. The preserve_thinking parameter maintains reasoning state across agent loop iterations without token waste."},{"title":"1M token context","description":"Process entire codebase
1s, long research papers, and extended multi-turn conversations. 70.7 on TAU3-Bench demonstrates strong long-context task completion."},{"title":"Document understanding","description":"91.2 on OmniDocBench1.5 and 94.4 on AI2D_TEST. Excels at parsing complex documents, diagrams, and visual information with high accuracy."},{"title":"OpenAI-compatible API","description":"Drop-in replacement for existing OpenAI API integrations. The preserve_thinking parameter extends the standard API for agentic use cases without breaking compatibility."}],"panel":{"label":"Key highlights","title":"Agentic performance that leads the field","description":"Qwen 3.6 Plus achieves top-tier results across software engineering, terminal operations, tool use, and document understanding benchmarks.","sections":[{"label":"Top achievements","bullets":["SWE-bench Verified: 78.8% - real-world software engineering","Terminal-Bench 2.0: 61.6 - beats Claude 4.5 Opus (59.3)","SWE-bench Pro: 56.6 - advanced software engineering","QwenClawBench: 57.2 - agentic tool orchestration","MCPMark: 48.2 - MCP protocol tool use"]},{"label":"Technical specs","bullets":["Proprietary hosted model by Alibaba Cloud","1M token context window","preserve_thinking parameter for agent loops","OpenAI-compatible API","Released March 31, 2026"]}],"actions":[{"label":"Start Free Chat"},{"label":"API documentation"}]}},"performance":{"label":"Performance","title":"Agentic dominance with 1M context and preserve_thinking","description":"Qwen 3.6 Plus scores 78.8% on SWE-bench Verified and 61.6 on Terminal-Bench 2.0, establishing a new standard for proprietary agentic models with its 1M token context and preserve_thinking capability.","intro":"Qwe
1n 3.6 Plus demonstrates consistent leadership across software engineering, terminal operations, agentic tool use, and document understanding - purpose-built for complex multi-step workflows that demand long-context reasoning.","chartAlt":"Qwen 3.6 Plus performance comparison chart across coding, agentic, and document understanding benchmarks","highlights":["SWE-bench Verified: 78.8% - real-world software engineering","Terminal-Bench 2.0: 61.6 - beats Claude 4.5 Opus (59.3)","SWE-bench Pro: 56.6 - advanced software engineering","QwenClawBench: 57.2 - agentic tool orchestration","OmniDocBench1.5: 91.2 - document understanding"],"actions":[{"label":"Start Chatting"},{"label":"API documentation"}],"benchmark":{"label":"Benchmark comparison","title":"Qwen 3.6 Plus vs frontier proprietary models","description":"Qwen 3.6 Plus leads on agentic and software engineering benchmarks, with the preserve_thinking parameter enabling seamless multi-step agent workflows.","caption":"Benchmark results from official Qwen 3.6 release. Released March 31, 2026.","models":[{"key":"qwen36_plus","title":"Qwen 3.6 Plus","subtitle":"Proprietary","badge":"Featured"},{"key":"qwen36_27b","title":"Qwen 3.6 27B","subtitle":"Dense"},{"key":"claude_opus","title":"Claude 4.5 Opus","subtitle":"Proprietary"},{"key":"qwen36_max","title":"Qwen 3.6 Max","subtitle":"Proprietary"}],"rows":[{"benchmark":"SWE-bench Verified","subtitle":"Real-world software engineering","values":{"qwen36_plus":"78.8%","qwen36_27b":"77.2%","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"Terminal-Bench 2.0","subtitle":"Terminal operations","values":{"qwen36_plus":"61.6","qwen36_27b":"59.3","claude_opus":"59.3","qwen36_max":"-"}},{"benchmark":"SWE-bench Pro","subtitle":"Advanced software engineering","values":{"qwen36_plus":"56.6","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"QwenClawBench","subtitle":"Agentic tool orchestration","values":{"qwen36_plus":"57.2","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"TAU3-Bench","subtitle":"Long-context task completion","values":{"qwen36_plus":"70.7","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"MCPMark","subtitle":"MCP protocol tool use","values":{"qwen36_plus":"48.2","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"OmniDocBench1.5","subtitle":"Document understanding","values":{"qwen36_plus":"91.2","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}},{"benchmark":"AI2D_TEST","subtitle":"Diagram understanding","values":{"qwen36_plus":"94.4","qwen36_27b":"-","claude_opus":"-","qwen36_max":"-"}}]}},"spotlights":[{"id":"preserve-thinking","label":"preserve_thinking","title":"Maintain reasoning state across agent loop iterations","description":"The preserve_thinking parameter is a first-of-its-kind API feature that lets agent frameworks maintain the model\'s internal reasoning state across multiple tool-call iterations. Instead of discarding chain-of-thought tokens between steps, preserve_thinking keeps them active, reducing redundant re-reasoning and improving multi-step task accuracy.","bullets":["Maintains reasoning context across agent loop iterations","Reduces redundant re-reasoning in multi-step workflows","OpenAI-compatible API with preserve_thinking extension"],"actions":[{"label":"Start Chatting"},{"label":"API documentation"}]},{"id":"million-context","label":"1M Context","title":"Process entire codebase
1s and long documents in a single pass","description":"Qwen 3.6 Plus supports a 1M token context window, enabling analysis of entire repositories, long research papers, and extended multi-turn conversations. Combined with 70.7 on TAU3-Bench and 91.2 on OmniDocBench1.5, it excels at tasks that demand deep long-context understanding.","bullets":["1M token context window for entire codebases","70.7 on TAU3-Bench long-context task completion","91.2 on OmniDocBench1.5 document understanding"],"actions":[{"label":"Try long-context tasks"},{"label":"View benchmarks"}]}],"resources":{"groups":[{"label":"Get started","title":"Try Qwen 3.6 Plus now","description":"Start chatting instantly or integrate via the OpenAI-compatible API.","tiles":[{"title":"Chat with Qwen 3.6 Plus","note":"Try the proprietary agentic model instantly - no setup required"},{"title":"API documentation","note":"OpenAI-compatible API with preserve_thinking parameter"},{"title":"Model card","note":"Complete technical specifications and benchmark results"},{"title":"Pricing","note":"Usage-based pricing for API access"}]},{"label":"Integration guides","title":"Build with Qwen 3.6 Plus","de
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