Google's Gemini 2.5 Pro has successfully beaten the 1996 classic Pokémon Blue after a run spanning hundreds of hours. An independent developer built an emulator harness that fed the model visual grids and memory stats while delegating tricky puzzles to sub-agents. It relied on custom scaffolding, but it's a telling milestone for how reasoning models handle massive, open-world planning.
Perplexity's Sonar-Reasoning-Pro just tied Google's Gemini 2.5 Pro for first place on LM Arena's new Search Arena leaderboard. Perplexity models locked down the top ranks by outperforming OpenAI's search models and citing two to three times more sources, winning 53% of direct head-to-head battles against Gemini.
Google just made its Veo 2 video generation model production-ready in the Gemini API, alongside launching the low-latency Live API into public preview. Following the debut of Gemini 2.5 Pro, the team also teased an upcoming 2.5 Flash model that brings adaptive reasoning to its low-cost, fast workhorse. It gives developers an end-to-end multimodal stack from real-time voice agents to video synthesis.
Google just brought its experimental Gemini 2.5 Pro model to free web users, rolling it out uncharacteristically fast after its paid debut. The model features visible step-by-step reasoning and tops the LMSYS Chatbot Arena leaderboard, though free users miss out on file uploads and get a reduced context window.
Google just released Gemini 2.5 Pro Experimental, its newest flagship model that reasons through thoughts before answering. The model immediately took the #1 spot on LMArena, boasts a 1-million-token context window, and hits new highs on math and coding benchmarks like SWE-bench. It is available right now in Google AI Studio and for Gemini Advanced subscribers.
