Gemini is Google's frontier LLM family, with three tiers: Gemini 2.5 Pro (most capable), Gemini 2.0 Flash (fast and cheap), and Gemini 1.5 Flash (budget). The flagship feature is context length: Gemini 2.5 Pro supports up to 2 million tokens — enough to fit multiple books, codebases, or hours of transcripts in a single request.
Pricing is competitive: Gemini 2.5 Pro at $1.25/$10 per million input/output tokens (with the first million input tokens free per day). Flash variants are even cheaper. This makes Gemini the value play for high-volume workloads.
Where it shines: massive document analysis, video understanding (native multimodal), Google Workspace integration (Docs, Gmail, Drive), and cost-sensitive deployments. Where it lags: reliability of function-calling and structured output has historically been looser than OpenAI or Anthropic, though it's improved significantly through 2025.
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