Superpower ChatGPT vs Yi (01.AI)
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Superpower ChatGPT Agents | Yi (01.AI) Agents | |
|---|---|---|
| Tagline | Chrome extension that bolts folders, prompt libraries, and bulk export onto the ChatGPT web UI. | Foundation models from 01.AI — open-weight Yi family plus frontier Yi-Lightning and Yi-Large |
| Category | Agents | Agents |
| Pricing | Freemium· Free core features; Pro tier for advanced limits | Freemium· Open-source Yi models free under permissive license; hosted API via platform.lingyiwanwu.com with pay-per-token pricing (Yi-Lightning positioned as a low-cost frontier tier; Yi-Large priced higher; exact per-token rates on the platform dashboard). Enterprise custom-training and consulting on quote. |
| Model | GPT (via ChatGPT UI) | Yi-Lightning (MoE), Yi-Large, Yi-1.5 (6B/9B/34B), Yi-VL, Yi-Coder — in-house 01.AI foundation models |
| Editorial score | 7.0 / 10 | 8.4 / 10 |
| Use cases | chatgpt-organizationprompt-managementconversation-exportprompt-libraryworkflow-automation | Self-hosted coding assistantBilingual English-Chinese chatbotRAG pipeline reasoning coreMultimodal document understandingAgent framework backboneFine-tuning on proprietary datasetsLow-cost GPT-4o alternativeOn-prem enterprise LLM deployment |
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| Website | chromewebstore.google.com | www.lingyiwanwu.com |
Pick Superpower ChatGPT if
- ✅ Folders, search, and prompt library that the native ChatGPT UI lacks
- ✅ Bulk export to PDF, Markdown, JSON, and TXT
- ✅ Prompt queue lets you chain sequential prompts unattended
- ✅ Conversation tree map makes branched chats navigable
Pick Yi (01.AI) if
- ✅ Yi-Lightning was the first Chinese LLM to surpass GPT-4o on LMSYS Chatbot Arena, at a fraction of the token cost
- ✅ Open-weight Yi-1.5 (6B/9B/34B) and Yi-VL models under a permissive commercial license make on-prem deployment realistic
- ✅ Yi-Coder covers 52 programming languages and punches above its weight for its parameter count
- ✅ OpenAI-compatible hosted API means minimal code changes to A/B-test against GPT/Claude endpoints