head to head · open source
gpt-load vs RWKV-Runner
gpt-load has 7,199 GitHub stars, 798 forks, 21 open issues and last shipped 2 days ago. RWKV-Runner has 6,500 stars, 594 forks, 178 open issues and last shipped 3 days ago. gpt-load leads on adoption by 11% (7,199 vs 6,500 stars). gpt-load is written in Go under MIT; RWKV-Runner is written in TypeScript under MIT. gpt-load has attracted 11% as many forks as stars, RWKV-Runner 9%. gpt-load was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| gpt-load | RWKV-Runner | |
|---|---|---|
| GitHub stars | ★ 7.2K | ★ 6.5K |
| License | MIT | MIT |
| Written in | Go | TypeScript |
| Last push | 2026-11-03 | 2026-11-02 |
| Forks | ⑂ 798 | ⑂ 594 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick gpt-load if
- You weight community size — 7.2K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick RWKV-Runner if
- You want the RWKV-Runner feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and RWKV-Runner fits your workflow better
About gpt-load
GPT Load A self hosted AI gateway for multi channel, multi credential setups API keys, subscription accounts, traffic scheduling, failure handling, request logs, and usage accounting — behind a single entry point. English · 中文 · 日本語 Official Website Sponsors Become a sponsor Sponsor details (collapsible) OfoxAI: Text, image, and video AI in one platform OfoxAI is a unified AI API platform bringing together text, image, and video models from multiple providers. With OpenAI compatible endpoints and native Anthropic and Gemini interfaces, developers can access models for AI applications, agents, and content…
read the full gpt-load overview →
About RWKV-Runner
RWKV Runner This project aims to eliminate the barriers of using large language models by automating everything for you. All you need is a lightweight executable program of just a few megabytes. Additionally, this project provides an interface compatible with the OpenAI API, which means that every ChatGPT client is an RWKV client. [![license][license image]][license url] [![release][release image]][release url] [![py version][py version image]][py version url] English 简体中文 日本語 Install [![Windows][Windows image]][Windows url] [![MacOS][MacOS image]][MacOS url] [![Linux][Linux image]][Linux url] FAQs Preview…
read the full RWKV-Runner overview →
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Frequently asked questions
Is gpt-load or RWKV-Runner more popular?
gpt-load has 7,199 GitHub stars and RWKV-Runner has 6,500. gpt-load has the larger community by that measure.
Are gpt-load and RWKV-Runner free?
Both are open source. gpt-load is licensed under MIT and RWKV-Runner under MIT. Neither carries a licence fee.
What is the difference between gpt-load and RWKV-Runner?
gpt-load is written in Go and RWKV-Runner in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, gpt-load or RWKV-Runner?
Choose gpt-load if you want the larger community (7,199 stars) or its MIT licence terms. Choose RWKV-Runner if its feature set, stack or MIT licence fits better. Both are self-hostable.