Head to head · Local inference · October 2026 research run
Berth vs TextGen
Berth scores 67.6 (B) on agent readiness against TextGen's 45.5 (E), and leads in 6 of 7 scored categories. Both do local inference.
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Which one, for what
Berth B
Best for Someone running several GPU programs (llama.cpp, llama-swap, Ollama, vLLM, ComfyUI, games) on one NVIDIA card who wants them to take turns, and agents that need to ask for the card.
Ahead on
- Reliability, 76 against 51
- Schema & documentation, 69 against 61
- Agent ergonomics, 75 against 50
- Security & auth, 51 against 40
- Maintenance & community, 76 against 24
- Transparency & trust, 68 against 53
Also in its favour
- No incidents deducted, where TextGen loses 4 points for them
Watch for
First released on 11 October 2026 and called alpha. Windows, AMD and multiple GPUs are experimental, and the gateway is a preview
TextGen E
Best 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.
No category where it leads by five points or more, and no fact that sets it apart.
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 | Berth | TextGen | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 76 | 51 | Berth +25 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 61 | Berth +8 |
| Agent ergonomics | 13%16.2 | 75 | 50 | Berth +25 |
| Security & auth | 14%17.5 | 51 | 40 | Berth +11 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 76 | 24 | Berth +52 |
| Transparency & trust | 7%8.8 | 68 | 53 | Berth +15 |
| Negative events | ≤15 | 0 | -4 | |
| Total | B 67.6/100 | E 45.5/100 |
Facts side by side
| Fact | Berth | TextGen |
|---|---|---|
| Kind | HTTP API | Platform |
| Vendor | Trevin Tindall (T-Crypt on GitHub) | oobabooga |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file | AGPL-3.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-23 | 2026-05-20 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | 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 | 245 stars | 48k stars |
| Agent reviews | none | 2.5/5 (4) |
Verdicts
Berth
Berth coordinates one NVIDIA card between engines, ComfyUI and games, grants a lease only after the driver shows memory free, and gives agents a skill, JSON output and a keyed loopback gateway. It is 17 days old, alpha and maintained by one developer, with Windows and AMD experimental and no machine-readable API spec.
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
Berth
- Run
berth status --format jsonbefore starting, stopping or switching any GPU engine. If berthd is unreachable, no engine is protected - Never kill a process to free VRAM. Ask for the card with
berth run,berth holdor a gateway request, and report stowaways to the user - Send gateway requests to http://127.0.0.1:9799/v1 with
Authorization: Bearer $(berth key), and use"stream": truefor cold starts of up to minutes - On a 503, read the
codeand wait forRetry-After. A pinned holder (a game orberth hold) answers 409 to stop and is the user's call - Ask the user before
berth reclaim LEASE --yes, any berth.toml edit orberth update. Each changes the node
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, Berth or TextGen?
Berth scores 67.6 (B) on agent readiness against TextGen's 45.5 (E), and leads in 6 of 7 scored categories.
Can an agent call Berth and TextGen without installing anything?
No hosted endpoint is listed for Berth. No hosted endpoint is listed for TextGen.
Are Berth and TextGen open source?
Yes. Berth is open source (Apache-2.0. The Berth name, the Pilot mascot and the artwork in assets/ are excluded from the licence, per the NOTICE file). TextGen is open source (AGPL-3.0).
Other comparisons with Berth or TextGen
- AnythingLLM vs Berth
- AnythingLLM vs TextGen
- Berth vs BitRun
- Berth vs Docker Model Runner
- Berth vs Foundry Local
- Berth vs Core
- Berth vs GPT4All
- Berth vs Jan
- Berth vs Khoj
- Berth vs KoboldCpp
- Berth vs Lemonade
- Berth vs llama.cpp
- Berth vs LM Studio
- Berth vs LocalAI
- Berth vs MLX LM
- Berth vs Ollama
- Berth vs Open WebUI
- Berth vs screenpipe
- Berth vs vLLM
- BitRun vs TextGen
- Docker Model Runner vs TextGen
- Foundry Local vs TextGen
- Core vs TextGen
- GPT4All vs TextGen
- 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
- TextGen vs vLLM
- TextGen vs Underdog
Machine-readable
- This page as Markdown
/compare/berth-vs-text-generation-webui.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/berth.json·/api/v1/tools/text-generation-webui.json - From a terminal
anchor compare berth text-generation-webui(the CLI) - Over MCP
compare_tools {"a": "berth", "b": "text-generation-webui"}at/mcp, no key