Compare AI tools

	Devin A	Ollama S	OpenRouter S	GitHub Copilot B
Tagline	Cognition Labs' autonomous coding engineer.	Run LLMs locally. One-line install, GUI optional.	One API, every model. Pay-as-you-go, no subscriptions.	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.
Category	Agents	Dev Platform	Dev Platform	Coding
Pricing	$500/mo	Free + open source	Pay per token — model-dependent	Free (limited) + $10/mo Pro + $19/mo Business
Best for	Engineering teams offloading tickets. Ops/platform work.	Devs wanting offline/local LLMs for privacy or experimentation.	Developers experimenting across models. Apps that want fallback logic.	Teams with GitHub already. Devs who don't want to change IDEs.
Strengths	Works like an engineer — takes Slack tasks, opens PRs Handles multi-hour engineering work Reports back with what it did	Run Llama, Mistral, Qwen, etc. on your laptop Simple CLI + API Hardware-aware (picks the right quant)	300+ models from one endpoint Automatic fallbacks between providers No subscription — just pay what you use	Great enterprise story Works in your existing IDE Chat + autocomplete
Weaknesses	Expensive Best for well-scoped tasks Not for solo hobbyists	Needs beefy laptop for larger models Speed way behind cloud APIs	Slight markup over direct API Some provider features not exposed	Less agentic than Cursor/Claude Code Model quality varies
Kai's verdict	A-tier for the right use case. Not for solo devs. If you manage engineers, try one license.	S-tier for local inference. If you care about privacy or want to tinker, install this today.	S-tier for model-shopping. I use this for every prototype before committing.	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.
Link	Open →	Open →	Open →	Open →