Qwen is a frontier multimodal AI model developed by Alibaba’s Tongyi Lab. Engineered for real world complexity, it combines 512K token context, 130+ language support, native vision & video understanding, and state-of-the art coding & reasoning available as open weights or via a scalable, developer first API.
See how Qwen understands, reasons, and generates — try a sample conversation.
Four powerful products designed to accelerate your AI journey
Conversational AI with comprehensive capabilities including chatbot interactions, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifact creation.
AI-powered coding assistant that understands your codebase, generates high-quality code across 100+ programming languages, debugs issues, and helps refactor complex systems with intelligent suggestions.
Advanced AI research toolkit for scientists and analysts. Deep research capabilities with web search, academic paper analysis, data visualization, and comprehensive report generation.
Enterprise-grade API platform with scalable infrastructure, real-time streaming, batch processing, fine-tuning capabilities, and comprehensive monitoring for production AI applications.
Technical specifications and performance benchmarks across leading large language models as of Q2 2026. Metrics are based on published technical reports, independent evaluations, and community benchmarks.
| Model | Architecture | Context Window | Languages | MMLU (5-shot) | Code (HumanEval) | Math (GSM8K) | Inference Speed | Access Tier | Release |
|---|---|---|---|---|---|---|---|---|---|
| ChatGPT 5.4 | Dense + MoE Hybrid | 256K tokens | 95+ | 94.2% | 91.5% | 96.8% | ~85 tok/s | Closed | Mar 2026 |
| Claude Opus 4.5 | Sparse MoE | 200K tokens | 80+ | 93.1% | 92.8% | 95.4% | ~72 tok/s | API Only | Feb 2026 |
| Kimi-K2.5 | Hybrid Attention | 1M tokens | 100+ | 91.7% | 88.3% | 93.2% | ~65 tok/s | API + Enterprise | Jan 2026 |
| GLM5 | GLM Architecture v5 | 128K tokens | 110+ | 92.4% | 90.1% | 94.7% | ~78 tok/s | Open Weights | Dec 2025 |
| Qwen3.5-397B-A17B | Dynamic MoE (397B/17B active) | 256K tokens | 120+ | 93.8% | 91.9% | 97.1% | ~95 tok/s | Open Weights | Nov 2025 |
| Qwen3.6-Plus New | Adaptive MoE + Structured Reasoning | 512K tokens | 130+ | 94.9% | 93.4% | 97.8% | ~112 tok/s | Open Weights + API | Apr 2026 |
Built with cutting-edge technology for the most demanding AI applications
Multi-step logical reasoning with chain-of-thought processing for complex problem solving
Support for 110+ languages with native-level understanding and generation
Image and video understanding with detailed analysis, OCR, and spatial reasoning
Create stunning, high-resolution images from text prompts with artistic control
Extract, summarize, and analyze documents including PDFs, spreadsheets, and presentations
Real-time web search integration with source citations and fact-checking
Native function calling with support for custom tools, APIs, and external integrations
Generate, preview, and edit code, documents, and interactive content in real-time
SOC 2 compliant, data encryption, role-based access, and private deployment options
Optimized inference with sub-100ms latency and high throughput for real-time applications
Process up to 256K tokens in a single context window for massive document analysis
Autonomous multi-agent orchestration for complex, multi-step task execution
Everything you need to know about Qwen LLM
Qwen LLM is a family of large language models developed by Alibaba Group's Tongyi Lab. It includes models like Qwen 3.6, 3.5, and 3.4, offering capabilities in natural language understanding, code generation, visual analysis, and more. Qwen is available both as open-source models and through cloud APIs.
Yes! Qwen Chat offers a generous free tier with access to most features including chat, image understanding, document processing, and web search. The API platform also provides free credits for new users. Open-source weights are freely available under the Apache 2.0 license for certain model sizes.
Qwen 3.6 matches or exceeds leading models in many benchmarks, particularly in multilingual understanding, coding tasks, and cost-efficiency. It offers a larger context window (256K tokens), supports 110+ languages, and provides open-source availability — features not matched by most competitors. See our comparison table above for detailed metrics.
Absolutely. Qwen's open-source models are available under the Apache 2.0 license, allowing commercial use. For API-based access, we offer flexible pricing plans including enterprise SLAs, dedicated infrastructure, and custom fine-tuning options for production workloads.
Qwen Chat supports a wide range of document formats including PDF, DOCX, XLSX, PPTX, TXT, CSV, Markdown, HTML, and more. It can extract text, summarize content, answer questions about documents, and even analyze tables and charts within files.
Getting started is simple: 1) Sign up at platform.qwenlm.ai, 2) Generate your API key, 3) Install our SDK (pip install qwen or npm install @qwen/sdk), and 4) Make your first API call. We provide comprehensive documentation, code examples in Python, JavaScript, and more, plus community support channels.
Yes, Qwen API supports Server-Sent Events (SSE) streaming for real-time token generation. This enables live chat experiences, progressive document analysis, and streaming code completion. WebSocket support is also available for bidirectional communication.
Qwen Code is a specialized coding assistant built on Qwen's foundation models, optimized for software development. It features repository-level understanding (not just single files), supports 100+ programming languages, integrates with VS Code and JetBrains IDEs, and achieves state-of-the-art scores on HumanEval and other coding benchmarks.
Integrate Qwen's powerful AI capabilities into your applications with just a few lines of code. Get started with free credits.