Ernie Bot vs SWE-agent

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Ernie Bot Agents	SWE-agent Agents
Tagline	Baidu's Mandarin-first ChatGPT rival, powered by the ERNIE model family	Open-source autonomous agent framework that lets LLMs fix GitHub issues and find security vulnerabilities by using a custom agent-computer interface.
Category	Agents	Agents
Pricing	Freemium· Free tier for Ernie 3.5 access; Ernie 4.0 and premium features require a paid subscription (approximately CNY 59.9/month for individual plans); enterprise API pricing via Baidu AI Cloud Qianfan platform is metered per 1K tokens.	Free· Free and open-source; you pay your own LLM API costs
Model	Baidu ERNIE 4.0 / ERNIE X1 / ERNIE Turbo (in-house)	Multi-model (GPT-4o, Claude Sonnet, DeepSeek, local via LiteLLM)
Editorial score	8.7 / 10	7.0 / 10
Use cases	Mandarin content writing and marketing copyChinese-language document Q&A and summarisationBaidu-search-grounded research briefsCustom agents built on the Qianfan platformRetrieval-augmented chat over internal Chinese corporaCode generation and explanation in ChineseImage generation from Chinese promptsCustomer-service chatbots for mainland usersFine-tuning ERNIE models on domain data	github-issue-fixingautonomous-codingswe-benchctf-securityagent-research
Pros	Best-in-class Mandarin fluency and Chinese cultural/idiomatic understanding among major LLMs Deep integration with Baidu Search, Wenku, Netdisk and Maps for grounded Chinese-language answers Full agent/plugin platform (Qianfan) with function calling, RAG, and fine-tuning for enterprise developers Multiple model tiers (Ernie 4.0, X1 reasoning, Turbo) covering quality-vs-cost trade-offs Native image generation and document/PDF understanding built into the chat UI Compliant, in-country hosting that satisfies Chinese data-residency and regulatory requirements Very large free tier makes it accessible for individual and small-team experimentation	Open-source under MIT with a strong research pedigree (Princeton/Stanford) Model-agnostic via LiteLLM - swap GPT-4o, Claude, or local models freely Reproducible SWE-bench harness makes it a credible baseline for agent research EnIGMA mode extends the same loop to CTF-style security tasks
Cons	Subject to Chinese government censorship; refuses politically sensitive topics and self-censors on sovereignty issues Web app and most documentation are Chinese-only, with a steep onboarding curve for non-Mandarin teams Requires a mainland Chinese phone number for sign-up, which blocks most international users English-language performance and reasoning lag Western frontier models (GPT-4o, Claude, Gemini) Data submitted may be processed under PRC data laws, which is a non-starter for many Western enterprises Ecosystem lock-in to Baidu AI Cloud for serious production use	Officially in maintenance mode; team now recommends mini-swe-agent No hosted product, GUI, or managed service - CLI and YAML only LLM API costs on long-horizon tasks can be significant Setup requires Docker and comfort with Python tooling
Website	yiyan.baidu.com	swe-agent.com

Pick Ernie Bot if

✅ Best-in-class Mandarin fluency and Chinese cultural/idiomatic understanding among major LLMs
✅ Deep integration with Baidu Search, Wenku, Netdisk and Maps for grounded Chinese-language answers
✅ Full agent/plugin platform (Qianfan) with function calling, RAG, and fine-tuning for enterprise developers
✅ Multiple model tiers (Ernie 4.0, X1 reasoning, Turbo) covering quality-vs-cost trade-offs

Pick SWE-agent if

✅ Open-source under MIT with a strong research pedigree (Princeton/Stanford)
✅ Model-agnostic via LiteLLM - swap GPT-4o, Claude, or local models freely
✅ Reproducible SWE-bench harness makes it a credible baseline for agent research
✅ EnIGMA mode extends the same loop to CTF-style security tasks

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