What AI says about Qwen
Qwen is a platform that provides language models and developer tools for building applications, offering APIs for natural language understanding, chat, and personalized assistants.
AI calls ithigh performance,open-weight,apache 2.0,cost-effective,strong performance,efficient
Since Jul 5Updated Nov 12, 2026Based on 33,235 AI answers
Reviewed by Dimitry Apollonsky
Mentioned in · Public index
2%
of AI answers about Qwen and its rivals · since Jul 5
Based on 33,235 AI answers
- ChatGPT2%
- Google AI Mode2%
How often AI mentions Qwen
of AI answers about Qwen and its rivals
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Sep 14OctNov 2
- · ChatGPT switched to GPT-6 Luna
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Markets where AI mentions Qwen
Mentioned inLowHighFew answers
All marketsChatGPTGoogle AI Mode
- LLM Fine-Tuning and Hosting PlatformsChatGPTGoogle AI Mode
- RAG Platforms and Retrieval ToolsChatGPTGoogle AI Mode
- Embedding Model APIs and ServicesChatGPT
- AI Creative Design ToolsOutside both engines’ top 25
- Cloud Machine Learning Infrastructure PlatformsOutside both engines’ top 25
- AI Research and Writing AssistantsOutside both engines’ top 25
- ML Deployment & Inference Optimization ToolsOutside both engines’ top 25
- LLM Infrastructure and Fine-Tuning PlatformsOutside both engines’ top 25
- Enterprise MLOps Model Registry PlatformsOutside both engines’ top 25
- Localization & Translation Management PlatformsOutside both engines’ top 25
- Edge AI Model Optimization ToolsOutside both engines’ top 25
- Social Media Sentiment Analysis ToolsOutside both engines’ top 25
Topics where AI mentions Qwen
TopicMentioned in · on this topicRank
- No-code LLM fine-tuning
- Self-hosted open-source LLM management platform
- Local codebase indexing
- In-warehouse generative AI
- Multilingual voice cloning
- Image generation API
- High-memory CPU cloud hosting
- HIPAA-compliant LLM deployment
- Synthetic dialogue data
- Embedding model management and deployment
- Model distillation and quantization framework
- Multimodal document understanding software for handwritten forms
- Hosted embeddings with tenant isolation
- Fine-tuning with data ownership
- API-first AI customer support bot builder
- Custom text-to-speech voices
- LLM-based document analysis
- Managed embedding APIs
- Edge model distillation
- Managed LLM fine-tuning
- Enterprise RAG and fine-tuning
- CI/CD build log explanation
- Enterprise LLM fine-tuning and RAG
- AI speaking practice apps
- LLM knowledge graph databases
- Most mentionedMentioned in
- Which open-weight model is best to self-host for a private enterprise assistant?on this questionQwen shares the lead for mentions with 1 more89%
- I need a customized LLM that I own the weights for and does not have licensing restrictions.on this questionMistral shares the lead for mentions with 1 more83%
Excerpts where Qwen appeared in the AI's answer
ChatGPTSep 20, 2026, ChatGPT Qwen3 is particularly straightforward: Qwen states that its open-weight models are licensed under Apache 2.0.
Google AI ModeSep 16, 2026, Google AI Mode Note that while powerful, models like Llama, Gemma, or Qwen include specific acceptable-use policies, user-scale limits, or mandatory flow-down clauses that mean they are not strictly restriction-free.
- For on-prem deployment with no data leaving our network, what model should we run?on this questionvLLM shares the lead for mentions with 1 more64%
Excerpts where Qwen appeared in the AI's answer
ChatGPTSep 22, 2026, ChatGPT Current on-prem options include Qwen, Llama, Mistral, DeepSeek, and Gemma.
ChatGPTSep 22, 2026, ChatGPT Qwen 3.5 would be my first model to evaluate for a new enterprise on-prem deployment
- The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?on this questionQwen3-Embedding shares the lead for mentions with 1 more41%
- What’s the best reranker service to upgrade RAG answer quality?on this questionVoyage AI shares the lead for mentions with 1 more38%
- What model platforms are best for reinforcement learning, autonomous improvement, and long-horizon tasks?on this questionRay shares the lead for mentions with 2 more30%
Excerpts where Qwen appeared in the AI's answer
Google AI ModeSep 28, 2026, Google AI Mode Qwen Series (Alibaba): Extensively utilized as a base model for tool-use and code-driven RL agents
Google AI ModeSep 4, 2026, Google AI Mode Qwen Series (e.g., Qwen 32B/72B derivatives): Extensively used as base models for reinforcement learning research targeting long-horizon digital and API-driven tasks.
Qwen in AI answers
1 of 8
We are evaluating open-source vs. closed-source LLMs. Who offers performance vs. cost benchmarks?
ChatGPTChatGPT· Sep 29, 2026
If you are evaluating a shortlist (for example GPT-5/Claude/Gemini vs Llama/Mistral/Qwen/DeepSeek)
Google AI ModeGoogle AI Mode· Oct 3, 2026
against open-weights architectures (such as Llama, Qwen, and GLM variants)
Sites AI cites
- 9%
- Ultimate Guide - The Most Accurate Reranker Models For RAG Pipelines In 2026 (opens in a new tab) · 1%
- Ultimate Guide - The Best Reranker Models for Document Retrieval in 2026 (opens in a new tab) · 1%
- Ultimate Guide - The Most Powerful Reranker for AI-Driven Workflows in 2026 - SiliconFlow (opens in a new tab) · 1%
- Ultimate Guide - The Best Small LLMs for Edge Devices in 2026 - SiliconFlow (opens in a new tab) · 1%
- Ultimate Guide - The Best Multimodal AI Models in 2026 (opens in a new tab) · <1%
- The Best Reranker Models for Document Retrieval in 2026 (opens in a new tab) · <1%
- Ultimate Guide - The Best Open Source AI for Multimodal Tasks in 2026 - SiliconFlow (opens in a new tab) · <1%
- Ultimate Guide - Best Reranker for Multilingual Search in 2026 (opens in a new tab) · <1%
- Ultimate Guide - Best Reranker Models for Multilingual Enterprises in 2026 (opens in a new tab) · <1%
- Ultimate Guide - The Most Advanced Reranker Models For Customer Support In 2026 (opens in a new tab) · <1%
- 6%
- Open-source embedding models: which one's the best? (opens in a new tab) · 1%
- Reranker worsening RAG retrieval results ? (opens in a new tab) · 1%
- Qwen3-Embedding-0.6B is fast, high quality, and supports up to 32k tokens. Beats OpenAI embeddings on MTEB (opens in a new tab) · 1%
- List of open-weight models with unmodified permissive licenses (opens in a new tab) · 1%
- Qwen Code - a powerful open-source coding agent + NO TELEMETRY FORK (opens in a new tab) · <1%
- Need Advice on Reranking for RAG Thesis : r/Rag (opens in a new tab) · <1%
- Qwen AI Launches Qwen3-Embedding & Qwen3-Reranker Series! (opens in a new tab) · <1%
- Vertex AI API vs Gemini API? (opens in a new tab) · <1%
- Best German Embedding Model? : r/LangChain (opens in a new tab) · <1%
- Is Cohere Reranker still the automatic choice? (Pros and Cons) (opens in a new tab) · <1%
- Lists Qwen on 1 of 1 page5%
- The Best Open Source and Open-Weight LLM Models to Run Locally in 2026 (opens in a new tab) · 2%Lists Qwen
- LICENSE · Qwen/Qwen3-235B-A22B at main (opens in a new tab) · <1%
- LICENSE · Qwen/Qwen3-30B-A3B at main (opens in a new tab) · <1%
- MTEB Leaderboard - a Hugging Face Space by mteb (opens in a new tab) · <1%
- LICENSE · Qwen/Qwen3-14B at main (opens in a new tab) · <1%
- LICENSE · Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 at main (opens in a new tab) · <1%
- Qwen/Qwen3-30B-A3B at main (opens in a new tab) · <1%
- LICENSE · Qwen/Qwen3-32B-AWQ at main (opens in a new tab) · <1%
- Qwen/Qwen3-32B at main (opens in a new tab) · <1%
- LICENSE · Qwen/Qwen3-8B at refs/pr/28 (opens in a new tab) · <1%
- 4%
- [2001.07059] Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models (opens in a new tab) · <1%
- [2310.06825] Mistral 7B (opens in a new tab) · <1%
- BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation (opens in a new tab) · <1%
- Qwen3 Technical Report (opens in a new tab) · <1%
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models (opens in a new tab) · <1%
- [2509.04484] The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors (opens in a new tab) · <1%
- Qwen3-VL Technical Report (opens in a new tab) · <1%
- Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies (opens in a new tab) · <1%
- MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval (opens in a new tab) · <1%
- Robots Need More than VLA and World Models (opens in a new tab) · <1%
- 3%
- Best Small Language Models for Accuracy and Enterprise Use Cases — Benchmark Results | by Darren Oberst | Medium (opens in a new tab) · <1%
- A Comparative Analysis of Leading Large Language Models (LLMs) in Early 2025 | by Evan Musick | Medium (opens in a new tab) · <1%
- MiniMax-M2: The Open-Weight AI Model Rewriting the Rules for Coding and Agentic Workflows (opens in a new tab) · <1%
- simple explanation using Visual Question Answering (VQA ... (opens in a new tab) · <1%
- How to Build Production-Ready AI Features Without Leaking ... (opens in a new tab) · <1%
- 8 RAG Re-Ranking Setups That Lift Answer Quality | by Modexa - Medium (opens in a new tab) · <1%
- 5 Open-Source AI Models You Can Run Locally (and Never Pay for Again) (opens in a new tab) · <1%
- Open-Source LLMs 2026: Choose, Evaluate & Deploy Self-Hosted Models (opens in a new tab) · <1%
- The Future of AI Models : Small LLMs, On-Device AI ... - Medium (opens in a new tab) · <1%
- Qwen 2.5 VL 32B: The Open-Source AI You Can Actually Run (And It’s Impressive!) (opens in a new tab) · <1%
- 3%
- GitHub - QwenLM/Qwen3: Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. · GitHub (opens in a new tab) · 1%
- Qwen3/README.md at main · QwenLM/Qwen3 · GitHub (opens in a new tab) · 1%
- phlx0/awesome-open-weight-models - GitHub (opens in a new tab) · 1%
- GitHub - PRITHIVSAKTHIUR/Multimodal-OCR: Multimodal-OCR is an experimental, high-performance visual reasoning and optical character recognition suite designed to accurately extract text, analyze visual content, and parse complex document structures. Built upon a diverse ecosystem of cutting-edge vision-language models. · GitHub (opens in a new tab) · <1%
- GitHub - QwenLM/Qwen3: Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. · GitHub (opens in a new tab) · <1%
- GitHub - Yigtwxx/awesome-rag-production: A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems. · GitHub (opens in a new tab) · <1%
- 2%
- Multimodal AI: The Best Open-Source Vision Language Models in 2026 (opens in a new tab) · 1%
- The Best Open-Source Image Generation Models in 2026 (opens in a new tab) · <1%
- The Best Open-Source Embedding Models in 2026 (opens in a new tab) · <1%
- The Best Open-Source LLMs in 2026 (opens in a new tab) · <1%
- The Best Open-Source Small Language Models (SLMs) in 2026 (opens in a new tab) · <1%
- 2%
- If you don't run AI locally you're falling behind… (opens in a new tab) · <1%
- Deploying an LLM For $9 - Qwen 2 (opens in a new tab) · <1%
- 4️⃣ Deploy DeepSeek-R1 with Azure Foundry – AI Model Setup Made Easy! (opens in a new tab) · <1%
- I Tested 7 AI Image Generators So You Don't Have To (opens in a new tab) · <1%
- EasyOCR or Tesseract OCR: Which Free Local Model is ... (opens in a new tab) · <1%
- The Ultimate Local AI Tier List For 2026 - YouTube (opens in a new tab) · <1%
- RAG Reranking Explained: How To Improve RAG Results (opens in a new tab) · <1%
- The Week Open Source Won: 7 Open Models in 7 Days (opens in a new tab) · <1%
- The Next Era of Semantic Search: Auto Embedding in Vector ... (opens in a new tab) · <1%
- The Next Era of Semantic Search: Auto Embedding in Vector Search (opens in a new tab) · <1%
The page AI cites most often when it mentions Qwen
Check it mentions Qwen and gets the details right.
