SHSelfHostIndex

One API vs Text Generation Inference

A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
ON One API Unified OpenAI-compatible gateway for many LLM providers VS TE Text Generation Inference Archived Hugging Face toolkit for production LLM serving
FeatureOne APIText Generation Inference
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score61 · Good15 · At risk
StatusActively maintainedArchived
CategoryLocal LLM RunnersLocal LLM Runners
LicenseMITApache-2.0
LanguageGoPython
Setup difficultyMediumHard
Min. RAM256 MB16,384 MB
Deploymentdocker, binarydocker, kubernetes
GitHub stars★ 37,009★ 10,884
First released20232022
ReplacesOpenAI API, OpenRouterOpenAI API

What are One API and Text Generation Inference?

One API

One API is an LLM API management and distribution system that exposes a single OpenAI-compatible endpoint while routing to many upstream providers. It adds key management, channel load balancing, usage tracking and multi-user billing.

  • Unified OpenAI-compatible API
  • Channel load balancing
  • Token and quota management
  • Multi-user support

Read the full One API guide →

Text Generation Inference

Text Generation Inference is Hugging Face's production-grade toolkit for deploying and serving large language models. It offers optimized transformers code, continuous batching, and an OpenAI-compatible API.

  • Production LLM serving
  • Continuous batching
  • Tensor parallelism
  • OpenAI-compatible endpoint

One API vs Text Generation Inference: key differences

The biggest difference is maintenance: Text Generation Inference's repository is archived and no longer developed, while One API is actively maintained. One API is written in Go, while Text Generation Inference is built with Python. Licensing differs — MIT for One API versus Apache-2.0 for Text Generation Inference. One API is the lighter option, starting around 256 MB of RAM against 16,384 MB for Text Generation Inference. One API has the considerably larger community, at 37,009 GitHub stars versus 10,884.

Why pick each one

Choose One API if…

  • Single OpenAI-compatible endpoint
  • Built-in usage billing
  • Easy Docker deployment

Watch out for

  • Documentation mostly Chinese
  • Scaling needs external database
One API details

Choose Text Generation Inference if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 10.9k GitHub stars
Text Generation Inference details

Frequently asked questions

Is One API or Text Generation Inference better?

One API is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Text Generation Inference if its specific feature set fits your needs better.

Are One API and Text Generation Inference free and open-source?

Yes. One API is licensed under MIT and Text Generation Inference under Apache-2.0. Both can be self-hosted at no software cost.

Can I run One API and Text Generation Inference with Docker?

One API: yes. Text Generation Inference: yes.

Which is lighter on resources, One API or Text Generation Inference?

One API has the smaller minimum footprint at 256 MB of RAM, compared to about 16,384 MB for Text Generation Inference. Real-world usage depends on library size, user count, and enabled features.

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