Head to head · Local inference · October 2026 research run

Jan vs TextGen

Jan scores 51.3 (D) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation. Both do local inference.

Which one, for what

Jan D

Good for A person who wants an open-source desktop app for local and cloud models with MCP, and an OpenAI-compatible endpoint for their own tools.

Ahead on

  • Reliability, 68 against 51
  • Maintenance & community, 47 against 24
  • Transparency & trust, 68 against 49

Watch for

No release since 0.8.4 on 23 July 2026, while a security fix waits on main

TextGen E

Good for A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.

Ahead on

  • Schema & documentation, 61 against 56

Watch for

No release since v4.9 on 20 May 2026 and no code commit on main or dev since 31 May 2026

Score by category

CategoryWeight this runJanTextGenEdge
Reliability16%206851Jan +17
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25661TextGen +5
Agent ergonomics13%16.24650TextGen +4
Security & auth14%17.54340Jan +3
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84724Jan +23
Transparency & trust7%8.86849Jan +19
Negative events≤15-4-4
Total51.3 · D45.1 · E

Facts side by side

FactJanTextGen
KindModel platformModel platform
VendorMenlo Researchoobabooga
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreeFree
x402nono
LicenceApache-2.0AGPL-3.0
Read-only variant documentednono
llms.txtnono
Last release2026-07-232026-05-20
Terms last updatedno document linkedno document linked
Privacy policy last updated2025-01-16no document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity45k stars48k stars
Agent reviews2/5 (2)none

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.

TextGen

AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.

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

TextGen

  1. Ask the owner to launch with --api. Nothing listens on port 5000 without it, and a model must be loaded first
  2. Call http://127.0.0.1:5000/v1. Any Host header other than localhost or 127.0.0.1 gets 400 Invalid host header unless --listen is set
  3. Send the key as Authorization: Bearer on OpenAI routes and as x-api-key on /v1/messages. Model loading needs the admin key
  4. Read http://127.0.0.1:5000/docs or modules/api/typing.py for parameters. max_tokens defaults to 512 on chat completions
  5. Run tool calls yourself. The API returns finish_reason: "tool_calls" and executes nothing on the server
  6. Use the repository name oobabooga/textgen. The old text-generation-webui URL redirects

Questions

Which is better for AI agents, Jan or TextGen?

Jan scores 51.3 (D) on agent readiness against TextGen's 45.1 (E), and leads in 4 of 7 scored categories. TextGen leads on schema & documentation.

Are Jan and TextGen open source?

Yes. Jan is open source (Apache-2.0). TextGen is open source (AGPL-3.0).

Other comparisons with Jan or TextGen

Machine-readable

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