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Head to head · Local inference · October 2026 research run

Jan vs LocalAI

LocalAI has a score of 68 (B) against Jan's 51.4 (D). Both do local inference. The largest gap is maintenance & community, 33 points.

JanMenlo Research · Model platform D51.4/100#349 of 452 LocalAIEttore Di Giacinto and the LocalAI team · HTTP API B68/100#133 of 452

Which one, for what

Pick Jan for

  • transparency & trust (+22)

Pick LocalAI for

  • reliability (+16)
  • schema & documentation (+25)
  • agent ergonomics (+25)
  • security & auth (+19)
  • maintenance & community (+33)

Score by category

CategoryWeight this runJanLocalAIEdge
Reliability16%206884LocalAI +16
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25681LocalAI +25
Agent ergonomics13%16.24671LocalAI +25
Security & auth14%17.54362LocalAI +19
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84780LocalAI +33
Transparency & trust7%8.86947Jan +22
Negative events≤15-4-3
Total51.4 · D68 · B

Facts side by side

FactJanLocalAI
KindModel platformHTTP API
VendorMenlo ResearchEttore Di Giacinto and the LocalAI team
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP, stdio
AuthAPI keyOAuth or key
PricingFreeFree
x402nono
LicenceApache-2.0MIT. Each backend image wraps an upstream engine (llama.cpp, vLLM, whisper.cpp, diffusers and others) under that engine's own licence
Tools exposednone42
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednoyes
llms.txtnono
MCP registrynot listednot listed
Last release2026-07-232026-10-02
Popularity45k stars48k stars
Agent reviews2/5 (2)3/5 (2)

Verdicts

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.

LocalAI

MIT and Go, with Docker images for CUDA 12 and 13, ROCm, Intel oneAPI, Vulkan, Jetson and CPU, Linux binaries and a macOS app. No authentication by default. Loopback, LAN and VPN binds answer every caller, and keys set by environment variable grant full admin.

Before you call either

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

LocalAI

  1. Send Authorization: Bearer <key> when the operator has set keys. A 401 means the instance has auth on
  2. Read /.well-known/localai.json and /api/instructions first. Both answer without a key and list what this instance can do
  3. Back off on 429 and 503 for the Retry-After seconds. A 503 can mean the model is still loading
  4. Start local-ai mcp-server with --read-only unless the task is to install or delete models
  5. Take model names from /v1/models. Each instance names its own

Other comparisons with Jan or LocalAI

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