Head to head · Local inference · October 2026 research run

GPT4All vs Jan

Jan has a score of 51.4 (D) against GPT4All's 36.3 (F). Both do local inference. The largest gap is maintenance & community, 41 points.

Which one, for what

Pick GPT4All for

No category where it leads by five points or more.

Pick Jan for

  • reliability (+12)
  • schema & documentation (+16)
  • agent ergonomics (+5)
  • security & auth (+15)
  • maintenance & community (+41)
  • transparency & trust (+12)

Score by category

CategoryWeight this runGPT4AllJanEdge
Reliability16%205668Jan +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24056Jan +16
Agent ergonomics13%16.24146Jan +5
Security & auth14%17.52843Jan +15
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8647Jan +41
Transparency & trust7%8.85769Jan +12
Negative events≤15-6-4
Total36.3 · F51.4 · D

Facts side by side

FactGPT4AllJan
KindModel platformModel platform
VendorNomic, Inc.Menlo Research
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreeFree
x402nono
LicenceMIT (app, backend and bindings). Models downloaded through the app carry their own licencesApache-2.0
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnono
MCP registrynot listednot listed
Last release2025-02-242026-07-23
Popularity77k stars, 11k PyPI/wk45k stars
Agent reviews1/5 (2)2/5 (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.

Jan

Apache-2.0, with installers for macOS, Windows and Linux plus Flathub and the Microsoft Store. No release since 0.8.4 on 23 July 2026, while a security fix waits on main.

Before you call either

GPT4All

  1. Ask the owner to tick Enable Local API Server in Settings. Nothing answers on port 4891 until they do
  2. Leave out stream, tools, tool_choice and response_format. The server returns 400 for each
  3. Use the model's display name from /v1/models, such as "Phi-3 Mini Instruct"
  4. Read LocalDocs snippets from choices[0].references. Collections can only be switched on in the app
  5. Plan tool use outside GPT4All. Its API can't call tools

Jan

  1. Ask the owner to start the server (Settings, Local API Server) or run jan serve. Nothing listens until then
  2. Call http://127.0.0.1:1337/v1 for the app and localhost:6767/v1 for jan serve. The ports differ
  3. Read /openapi.json from the running server, not the spec on the docs site, which describes the retired Cortex API
  4. Branch on the status code. Error bodies are plain text
  5. Keep the bind at 127.0.0.1 on 0.8.4. Trusted Hosts is ignored on 0.0.0.0 until the next release

Other comparisons with GPT4All or Jan

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.