3 6 Ke·2025-12-18 03:09Core Insights - Google has launched Gemini 3 Flash, a cost-effective AI model that aims to provide cutting-edge intelligence at a lower price point compared to its predecessors, achieving performance levels that meet or exceed flagship models like Claude Sonnet 4.5 and GPT-5.2 [1][5] Pricing and Performance - Gemini 3 Flash offers a price of $0.50 per million tokens, which is only 20% of Claude Sonnet 4.5's cost and 21% of GPT-5.2's cost, while outperforming these models in benchmark tests [1][9] - Compared to Gemini 3 Pro, Flash is priced at 25% of Pro's cost, yet it surpasses Pro in key benchmarks such as MMMU-Pro and SWE-bench Verified [1][5] Features and Capabilities - Designed for iterative development, Gemini 3 Flash combines the reasoning capabilities of Gemini 3 Pro with lower latency and cost, making it suitable for real-time applications [5][6] - The model excels in multimodal reasoning, allowing it to analyze images and videos quickly, providing actionable insights and enhancing user interaction [6][7] - It can convert unstructured ideas into functional applications using voice input, demonstrating its versatility in application development [7] Benchmark Performance - In various benchmark tests, Gemini 3 Flash achieved scores such as 90.4% in GPQA Diamond and 81.2% in MMMU-Pro, outperforming Gemini 2.5 Pro and matching Gemini 3 Pro [8][9] - The model also shows significant improvements in coding tasks, scoring 78% in SWE-bench Verified, which is higher than both Gemini 2.5 series and Gemini 3 Pro [8][9] Efficiency and Cost-Effectiveness - Gemini 3 Flash is designed to optimize efficiency, achieving 30% less token usage on average compared to Gemini 2.5 Pro while maintaining high performance [11] - The model's development aims to push the boundaries of quality, cost, and speed, making it a competitive option in the AI landscape [11] Conclusion - The introduction of Gemini 3 Flash fills a gap in the Gemini 3 family by offering a lightweight, cost-effective solution that meets the demands of developers in real-world applications [12] - Its enhanced performance and affordability are expected to facilitate broader integration of AI into everyday applications and business systems [12]