Gemini Flash 2.0 and its Lite counterpart are optimized for high-speed inference and efficient instruction-following, positioned between lightweight models and flagship variants like Gemini Ultra. Gemini Flash 2.0 balances reasoning depth with high-throughput generation, performing well in structured environments requiring logic, planning, or contextual retention. It is ideal for applications that require fast generation, strict adherence to input prompts, and consistent latency, such as interactive agents, retrieval-augmented generation pipelines, instruction-heavy copilots, task runners, and chat agents. Gemini Flash 2.0 Lite is a lightweight variant designed for cost-efficiency, fast response times, and low-resource deployment, suitable for streamlined reasoning tasks and scaled inference where latency and affordability are critical. It is well-suited for chatbots, high-speed document parsing, lightweight RAG systems, instruction-driven generation tools, and task runners, offering a very low cost-to-performance ratio, handling structured prompts with clarity and determinism, and efficient in latency-critical production systems. However, both models have limitations, including lower capacity for open-ended reasoning, abstraction, or ambiguity resolution, outputs only text, and may struggle with high-ambiguity or abstract tasks.