GPT4All vs Onyx
GPT4All
nomic.aiOnyx
onyx.appSide by side
| Figure | GPT4All | Onyx |
|---|---|---|
| Price from | Free | $20/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · AI chatbots and assistants | 8.4 (#31) | 9.0 (#12) |
| File uploads | Yes | Yes |
| Free plan | Yes | Yes |
| App integrations | Yes | The product advertises more than 50 synced connectors and names Slack, Google Drive, Confluence, Salesforce, GitHub and Jira among supported sources. |
| Intended users | GPT4All describes itself as designed for developers, teams, and AI power-users. | Onyx describes use across company-wide teams, engineering, sales, and support. |
| Purpose | GPT4All runs open-source language models locally on Windows, macOS, and Linux. | Onyx connects enterprise knowledge to give humans and agents context for AI answers. |
| Support | The GPT4All troubleshooting guide directs users with persistent model problems to share their experience on Discord. | The Business plan includes Community Support; Enterprise lists Dedicated Support and an Enterprise SLA. |
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.