Google just released updated preview builds of Gemini 2.5 Flash and Flash-Lite on Google AI Studio and Vertex AI. Manus reported a 15% leap in performance on long-horizon agentic tasks using the new model. Google also rolled out new -latest aliases so developers can always run the newest checkpoint without updating their code.
Google just released the stable, generally available version of Gemini 2.5 Flash-Lite, its fastest and lowest-cost model in the 2.5 family. Priced at $0.10 per million input tokens with a 1M context window, it cuts audio pricing and brings native controllable reasoning. It is essentially built for developers who need rock-bottom latency and costs without giving up output quality.
Google just released Gemini 2.5 Pro and Flash as stable models while introducing a preview of 2.5 Flash-Lite. Flash-Lite is pitched as the fastest and most cost-effective 2.5 model yet, packing a 1M-token context window, adjustable thinking budgets, and lower latency for high-volume tasks. Why it matters: Google is aggressively undercutting API costs for high-throughput production workloads.
