Google just dropped Gemini 3 FLASH! ⚡⚡⚡

Model Performance & Cost - Gemini 3 Flash is presented as a highly competitive model, achieving near parity with Gemini 3 Pro in various benchmarks while being significantly cheaper and faster [1][6][18] - The model excels in coding, even surpassing Gemini 3 Pro in the SweetBench verified benchmark [1][8] - Industry analysis indicates Gemini 3 Flash demonstrates efficient token usage, requiring fewer tokens on average to achieve comparable results [19] - Benchmarks show Gemini 3 Flash achieving high scores in areas like multimodal understanding and reasoning (MMU Pro) and code execution [7] Economic Viability & Market Impact - The input price for Gemini 3 Flash is $0.50 per million tokens, a quarter of the price of Gemini 3 Pro ($2 per million tokens) and a fraction of the cost compared to GPT 5.2% and Claude Sonnet 4.5% [6] - Google is positioning Gemini 3 Flash as the default model in its Gemini app and AI mode in Google search, making it widely accessible at no cost to users [14][15] - The industry views Gemini 3 Flash as potentially the most economically viable model due to its balance of performance, speed, and cost-effectiveness [14] - The model's speed and efficiency are particularly beneficial for computer use models, addressing previous slowness issues [20] Strategic Positioning - Google's strategic advantage lies in its combination of high-performing, cost-effective models, extensive distribution channels, vast data resources, and custom silicon [16] - The company's decision to offer Gemini 3 Flash for free is seen as a critical competitive move, potentially disrupting the market for agentic coding and AI applications [15][17] - Industry experts suggest Gemini 3 Flash is becoming the new default for vibe coding and is being rapidly adopted across Google's product suite [16][13]