Onyx vs Qwen Chat
Onyx
onyx.appQwen Chat
qwen.aiSide by side
| Figure | Onyx | Qwen Chat |
|---|---|---|
| Price from | $20/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 1 |
| Spec score · AI chatbots and assistants | 9.0 (#12) | 9.0 (#9) |
| API | Nearly every feature is exposed through a REST API using JSON, with Bearer API keys or personal access tokens and an OpenAPI explorer at /api/docs. | The maker describes a Qwen API with an OpenAI-compatible format for building applications. |
| File uploads | Yes | Yes |
| Free plan | Yes | Yes |
| Image generation | Yes | Yes |
| Intended users | Onyx describes use across company-wide teams, engineering, sales, and support. | Alibaba describes Qwen as built for multinationals, startups, developers, and others, and says it supports analysis, research, planning, and operational decision-making. |
| Purpose | Onyx connects enterprise knowledge to give humans and agents context for AI answers. | Qwen Studio is an AI assistant powered by the Qwen series models and described as free to use and open to all. |
| Security | The site says documents and embeddings can stay in the customer's infrastructure, data is not used for training, and source permissions are enforced at query time. | The privacy policy says personal data is encrypted in transit and at rest and that the service uses vulnerability management, access management, malware protections, and recovery measures. |
| Support | The Business plan includes Community Support; Enterprise lists Dedicated Support and an Enterprise SLA. | The privacy policy lists technical support among the purposes for processing personal data. |
| Web search | Yes | Its web search feature provides real-time answers enriched with authoritative sources. |
Plans
In their own words
Onyx
Onyx connects enterprise knowledge so people and AI agents can use relevant context in answers. It searches indexed sources in parallel and presents documents while enforcing each source's permissions. More than 50 connectors sync connected tools in the background and support hybrid semantic and keyword search. The Business plan lists chat and search, major LLM access, custom agents, MCP/OpenAPI actions, web search, deep research, code interpreter, and image generation. Business costs $20 a month, billed annually at $20 per user per month, for teams of any size, with 40+ app connectors and Community Support. Onyx provides APIs for messages, agents, LLM management, actions, and user authentication. Slack integrations can provide responses and agents; Microsoft Teams and Zendesk are described as coming soon. Deployments can run in a customer's cloud or on bare metal, including on-premise and fully air-gapped environments. The site says documents and embeddings can remain in customer infrastructure, data is not used for training, and permissions are checked at query time. Native Windows, macOS, and Linux apps connect to an existing deployment.
Qwen Chat
Qwen Chat is an AI assistant powered by the Qwen series models, available on the web, Android, iOS, macOS, and Windows. It can help with reasoning in math, science, and coding, as well as creative writing. Users can upload CSV, Excel, and text files for analysis, summaries, and visualizations; the service says it can handle up to 1 million tokens. It also processes audio, images, and video without requiring a model change, and can generate images and videos from prompts. Qwen Studio Artifacts can create, reference, and update HTML content and SVG images with real-time visualization. Mobile apps support voice conversations and questions about photos, while desktop apps can discuss email, screenshots, files, and screen content. An OpenAI-compatible API is described for building applications. The Free plan costs nothing. The privacy policy says prompts and uploaded content may be collected, and de-identified user content may be used to improve services, including AI models; it also says personal data is encrypted in transit and at rest.