We’ve spent the last two articles going deep on both Genkit Dart and Firebase AI Logic. Today, I will be giving a comparison so we can finally decide which one (or both) to use in your projects. Real use cases, pros/cons, pricing, performance, developer experience, and the exact decision framework I use on this series. By the end, you’ll know exactly when to pick Firebase AI Logic for speed, when to use Genkit Dart for full-stack, and how the two actually work together. Let’s settle this once and for all. QUICK RECAP — WHAT EACH ACTUALLY IS  Firebase AI Logic is Google’s client-side SDK. It lets your Flutter app talk directly to Gemini models with App Check and Firebase Auth protecting everything. No raw keys in your code. This is perfect for quick, secure client-side AI. Genkit Dart is Google’s full-stack AI framework. You write production AI flows in pure Dart — backend logic (tools, memory, agents) plus a clean Flutter client. Everything stays in the language you’re already familiar with. Both use the same Gemini models under the hood. The difference is where the intelligence lives. SIDE-BY-SIDE: USE CASES  Firebase AI Logic is perfect for: Simple text/image generation Multimodal (screenshot → feedback, error log → fix) Quick chat or summarization You want to ship a feature this week Genkit Dart is perfect for: You need real tool calling (query Firestore, send emails, update DB) Persistent memory across sessions Complex agentic workflows You must keep prompts, costs, and sensitive logic on the backend Real example: A “Smart Recipe Helper” can be built in both — but only Genkit lets the AI safely read your user’s subscription status from Firestore without exposing anything to the client. PROS & CONS + DEVELOPER EXPERIENCE  Firebase AI Logic  Pros: Fast setup, great developer experience for simple stuff, built-in streaming, multimodal out of the box.  Cons: Everything runs client-side → harder to do complex tool calling securely, you pay per token even for simple calls. Genkit Dart  Pros: Full type safety across client + backend; powerful tools and memory; you control costs and prompts; scales beautifully.  Cons: Slightly more setup (you need a backend flow), one extra moving part. PRICING & PERFORMANCE Both are billed the same way on the underlying Gemini models (Flash is cheapest, Pro is smarter and more expensive). Firebase AI Logic: Free SDK. You only pay for Gemini usage (Blaze plan). Great for low-traffic apps.  Genkit Dart: Same Gemini costs, plus a tiny Cloud Functions/Cloud Run hosting cost. But you can cache and optimize much better on the backend. Performance: Firebase AI Logic = lower latency for simple calls (direct from device) Genkit Dart = better for complex flows because the backend can chain tools without round-tripping to the client Keep in mind: If your feature is < 5 tokens per call, Firebase AI Logic wins on cost and speed. If it’s an agent doing multiple steps, Genkit saves you money fast. Demo 1 — Firebase AI Logic (client-side) Simple caption generator from an image: final model = FirebaseAI.instance.generativeModel(model: 'gemini-3.1-flash'); final response = await model.generateContent([ Content.multi([TextPart("Describe this Flutter screen"), DataPart('image/jpeg', bytes)]) ]); Demo 2 — Genkit Dart (full-stack) Same feature but with a tool that checks the user's subscription first: final smartCaption = ai.defineFlow( name: 'smartCaption', tools: [getUserSubscriptionTool], fn: (input) async { ... } ); From Flutter → backend loads user data securely → Gemini gives personalized advice. You see the Firestore call and the final response side-by-side. WHEN TO CHOOSE ONE OVER THE OTHER  My personal decision framework (you can use this checklist): Is the feature simple and mostly client-side? → Firebase AI Logic Do you need tools, memory, or to hide logic? → Genkit Dart Are you okay with a tiny backend? → Genkit Dart Do you need to ship tomorrow? → Start with Firebase AI Logic Is this going into production with real users and costs? → Genkit Dart (or combine both) Although you can use both, Firebase AI Logic for lightweight client features + Genkit Dart for anything that touches data or needs agents. MY PERSONAL RECOMMENDATION (FINAL WORD)  If you’re a solo dev or small team and just want to add AI fast, start with Firebase AI Logic. If you’re building anything production-grade, need security, or plan to scale → go straight to Genkit Dart. My strongest recommendation: Learn both. Help me create better content for you ❤️ Fill this short feedback form: https://form.typeform.com/to/xUTMJvZ5 There you have it! Full comparison between Genkit Dart and Firebase AI Logic. Drop a comment and tell me: Which one are you going to try first in your app — Firebase AI Logic or Genkit Dart? Or are you already using both? Thanks for reading, Flutter fam. See you in the next one — peace! ✌️ Samuel Adekunle Tech With Sam https://youtube.com/@techwithsam