Gemini is Google's frontier model family built natively multimodal from the ground up. Gemini 2.0 Flash ($0.10/$0.40 /M tokens) is the fastest and cheapest frontier model. Gemini 1.5 Pro has a 2M token context window — largest available. Key differentiators: native multimodal (video, audio, image, text), code execution sandbox, Grounding with Google Search for real-time facts, and Vertex AI integration for enterprise Google Cloud workloads.
Each stage in order — click any step to read what it does.
Gemini models by speed, cost, and capability.
The trade-offs worth knowing before you build this.
Gemini 2.0 Flash at $0.10/M input tokens is 15-25x cheaper than GPT-4o or Claude Sonnet. For high-volume classification, extraction, or summarisation tasks, Flash often provides equivalent quality at a fraction of the cost.
Gemini 1.5 Pro can analyze a 1-hour video in a single API call — extracting timestamps, transcribing audio, identifying objects. No other frontier model offers native video understanding at this scale.
For tasks requiring current facts (prices, news, sports scores, software versions), enable Google Search grounding. Gemini fetches live search results and cites sources — turning a knowledge-cutoff limitation into a strength.
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