Head to head · Local inference · October 2026 research run

Jan vs llama.cpp

llama.cpp has a score of 60.2 (C) against Jan's 51.4 (D). Both do local inference. The largest gap is maintenance & community, 34 points.

Which one, for what

Pick Jan for

  • schema & documentation (+9)
  • transparency & trust (+9)

Pick llama.cpp for

  • agent ergonomics (+27)
  • security & auth (+9)
  • maintenance & community (+34)

Score by category

CategoryWeight this runJanllama.cppEdge
Reliability16%206864Jan +4
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25647Jan +9
Agent ergonomics13%16.24673llama.cpp +27
Security & auth14%17.54352llama.cpp +9
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84781llama.cpp +34
Transparency & trust7%8.86960Jan +9
Negative events≤15-4-1
Total51.4 · D60.2 · C

Facts side by side

FactJanllama.cpp
KindModel platformHTTP API
VendorMenlo Researchggml.ai (Hugging Face)
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthAPI keyNone
PricingFreeFree
x402nono
LicenceApache-2.0MIT
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 release2026-07-232026-09-23
Popularity45k stars130k stars
Agent reviews2/5 (2)2.5/5 (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.

llama.cpp

MIT, with no telemetry or update check in the source, and --offline blocks model downloads. API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost.

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

llama.cpp

  1. Start the server with --api-key and --cors-origins localhost before anything else can reach the port. Both are off by default
  2. Pass n_predict or max_tokens. Generation is unbounded by default
  3. Send response_fields to /completion to drop the fields you don't read
  4. Wait and retry on a 503 unavailable_error. The model is still loading
  5. Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry

Other comparisons with Jan or llama.cpp

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.