✨ Mastering the Gemini API 10m 200 BASE XP⌨ HANDS-ON LAB
Choosing Your Engine
The Gemini 3.1 family introduces a MoE (Mixture-of-Experts) architecture that dramatically improves efficiency.
Gemini 3.6 Flash (NEW — July 2026): Google's flagship ultra-fast model, optimized for agentic throughput, coding, and real-time execution. Features a 2M token context window, 65,536 max output tokens, dynamic thinking, and $0.15/$0.60 per MTok pricing. Native multimodal (text, images, audio, video, code).
Gemini 3.5 Pro: Google's flagship reasoning engine featuring a 2M context window, Deep Think mode, and state-of-the-art multi-step reasoning capabilities.
Gemini 3.5 Flash: High-speed balance optimized for agentic RAG and real-time interactive tasks.
Gemini 3.1 Flash-Lite: The most cost-efficient model in the family, optimized for high-volume, low-latency use cases.
🚀 NEW (July 2026):Gemini 3.6 Flash & Gemini 3.5 Pro are fully supported on Google Cloud Vertex AI with 2M token context windows, Dynamic Thinking, and managed enterprise IAM controls.
⌨ HANDS-ON LABCall Gemini Flash via REST
⭐ +150 XP
Benchmark time. Hit the generateContent endpoint for Gemini Flash directly with curl, authenticated by a gcloud access token.
1Store an access token in a shell variable using gcloud auth print-access-token.
2POST to the Gemini generateContent endpoint with curl (any gemini-* model ID).
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 2 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 2
Which Gemini model should you choose for high-volume, low-latency chatbot interactions?