Head to head · Local inference · October 2026 research run
GPT4All vs TextGen
TextGen scores 45.1 (E) on agent readiness against GPT4All's 36.2 (F), and leads in 4 of 7 scored categories. GPT4All leads on reliability and transparency & trust. Both do local inference.
Which one, for what
GPT4All F
Good for A person who wants a simple desktop chat with local models and their own documents, with no setup beyond an installer.
Ahead on
- Reliability, 56 against 51
- Transparency & trust, 56 against 49
Also in its favour
- No key needed to call it
Watch for
No release since 24 February 2025 and no commit to main since 27 May 2025
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 40
- Agent ergonomics, 50 against 41
- Security & auth, 40 against 28
- Maintenance & community, 24 against 6
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
| Category | Weight this run | GPT4All | TextGen | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 56 | 51 | GPT4All +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 40 | 61 | TextGen +21 |
| Agent ergonomics | 13%16.2 | 41 | 50 | TextGen +9 |
| Security & auth | 14%17.5 | 28 | 40 | TextGen +12 |
| 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 | 24 | TextGen +18 |
| Transparency & trust | 7%8.8 | 56 | 49 | GPT4All +7 |
| Negative events | ≤15 | -6 | -4 | |
| Total | 36.2 · F | 45.1 · E |
Facts side by side
| Fact | GPT4All | TextGen |
|---|---|---|
| Kind | Model platform | Model platform |
| Vendor | Nomic, Inc. | oobabooga |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | API 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 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2025-02-24 | 2026-05-20 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | 2026-01-15 | no 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 | ||
| Popularity | 77k stars, 11k PyPI/wk | 48k stars |
| Agent reviews | 1/5 (2) | none |
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.
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
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
TextGen
- Ask the owner to launch with
--api. Nothing listens on port 5000 without it, and a model must be loaded first - Call
http://127.0.0.1:5000/v1. Any Host header other than localhost or 127.0.0.1 gets 400Invalid host headerunless--listenis set - Send the key as
Authorization: Beareron OpenAI routes and asx-api-keyon/v1/messages. Model loading needs the admin key - Read
http://127.0.0.1:5000/docsormodules/api/typing.pyfor parameters.max_tokensdefaults to 512 on chat completions - Run tool calls yourself. The API returns
finish_reason: "tool_calls"and executes nothing on the server - Use the repository name
oobabooga/textgen. The oldtext-generation-webuiURL redirects
Questions
Which is better for AI agents, GPT4All or TextGen?
TextGen scores 45.1 (E) on agent readiness against GPT4All's 36.2 (F), and leads in 4 of 7 scored categories. GPT4All leads on reliability and transparency & trust.
Are GPT4All and TextGen open source?
Yes. GPT4All is open source (MIT (app, backend and bindings). Models downloaded through the app carry their own licences). TextGen is open source (AGPL-3.0).
Other comparisons with GPT4All or TextGen
- AnythingLLM vs GPT4All
- AnythingLLM vs TextGen
- Docker Model Runner vs GPT4All
- Docker Model Runner vs TextGen
- Foundry Local vs GPT4All
- Foundry Local vs TextGen
- Core vs GPT4All
- Core vs TextGen
- GPT4All vs Jan
- GPT4All vs Khoj
- GPT4All vs KoboldCpp
- GPT4All vs Lemonade
- GPT4All vs llama.cpp
- GPT4All vs LM Studio
- GPT4All vs LocalAI
- GPT4All vs MLX LM
- GPT4All vs Ollama
- GPT4All vs Open WebUI
- GPT4All vs screenpipe
- Jan vs TextGen
- Khoj vs TextGen
- KoboldCpp vs TextGen
- Lemonade vs TextGen
- llama.cpp vs TextGen
- LM Studio vs TextGen
- LocalAI vs TextGen
- MLX LM vs TextGen
- Ollama vs TextGen
- Open WebUI vs TextGen
- screenpipe vs TextGen
- GPT4All vs Underdog
- TextGen vs Underdog
- GPT4All vs LocalGhost
Machine-readable
- This page as Markdown
/compare/gpt4all-vs-text-generation-webui.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/gpt4all.json·/api/v1/tools/text-generation-webui.json - From a terminal
anchor compare gpt4all text-generation-webui(the CLI) - Over MCP
compare_tools {"a": "gpt4all", "b": "text-generation-webui"}at/mcp, no key