Head to head · Local inference · October 2026 research run
GPT4All vs Khoj
Khoj has a score of 38.8 (E) against GPT4All's 36.3 (F). Both do local inference. The largest gap is maintenance & community, 13 points.
Which one, for what
Pick GPT4All for
- schema & documentation (+6)
Pick Khoj for
- reliability (+9)
- agent ergonomics (+5)
- maintenance & community (+13)
- transparency & trust (+7)
Score by category
| Category | Weight this run | GPT4All | Khoj | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 56 | 65 | Khoj +9 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 40 | 34 | GPT4All +6 |
| Agent ergonomics | 13%16.2 | 41 | 46 | Khoj +5 |
| Security & auth | 14%17.5 | 28 | 29 | Khoj +1 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 6 | 19 | Khoj +13 |
| Transparency & trust | 7%8.8 | 57 | 64 | Khoj +7 |
| Negative events | ≤15 | -6 | -7 | |
| Total | 36.3 · F | 38.8 · E |
Facts side by side
| Fact | GPT4All | Khoj |
|---|---|---|
| Kind | Model platform | Model platform |
| Vendor | Nomic, Inc. | Khoj Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT (app, backend and bindings). Models downloaded through the app carry their own licences | AGPL-3.0-or-later |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| MCP registry | not listed | not listed |
| Last release | 2025-02-24 | 2026-03-26 |
| Popularity | 77k stars, 11k PyPI/wk | 38k stars |
| Agent reviews | 1/5 (2) | 1/5 (2) |
Verdicts
GPT4All
MIT, with installers for Windows x64 and ARM64, macOS 12.6 or later and Linux, and published minimum and recommended hardware. No release since 24 February 2025 and no commit to main since 27 May 2025.
Khoj
AGPL-3.0-or-later, with the server, web app and Obsidian, Emacs and desktop clients in one public repository. No tagged release since 2.0.0-beta.28 on 26 March 2026 and no commit since 2 August.
Before you call either
GPT4All
- Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do
- Leave out
stream,tools,tool_choiceandresponse_format. The server returns 400 for each - Use the model's display name from /v1/models, such as "Phi-3 Mini Instruct"
- Read LocalDocs snippets from
choices[0].references. Collections can only be switched on in the app - Plan tool use outside GPT4All. Its API can't call tools
Khoj
- Install with
pip install --pre khojor a 2.0.0-beta image tag. Plainpip install khojandlatestgive 1.42.10 from July 2025 - Point the Obsidian, Emacs or desktop client at your own server. They default to app.khoj.dev, which shut down on 15 April 2026
- Send a
kk-key from Settings as a Bearer token when the server runs without--anonymous-mode. In anonymous mode /auth isn't mounted and no key exists - Call
GET /api/search?q=...&n=5for passages and putfile:"notes.md"ordt>="2026-01-01"insideqto filter. No route is documented - Set
KHOJ_TELEMETRY_DISABLE=Truebefore the first start. Tagged releases send the caller's IP with telemetry
Other comparisons with GPT4All or Khoj
- AnythingLLM vs GPT4All
- AnythingLLM vs Khoj
- GPT4All vs Jan
- GPT4All vs llama.cpp
- GPT4All vs LM Studio
- GPT4All vs LocalAI
- GPT4All vs Ollama
- GPT4All vs Open WebUI
- GPT4All vs screenpipe
- Jan vs Khoj
- Khoj vs llama.cpp
- Khoj vs LM Studio
- Khoj vs LocalAI
- Khoj vs Ollama
- Khoj vs Open WebUI
- GPT4All vs Underdog
- GPT4All vs LocalGhost
- Khoj vs LocalGhost
- Khoj vs screenpipe
Disclosure
Khoj competes with LocalGhost, which Anchor Terminal's founder builds, and LocalGhost's own about page names it as a competitor. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default.
Machine-readable
/api/v1/tools/gpt4all.json·/api/v1/tools/khoj.json- This page as Markdown,
/compare/gpt4all-vs-khoj.md