Google: Gemini 3.6 Flash

The Gemini 3.6 Flash is a machine learning model developed by Google that supports multiple input modalities, including text, image, video, file, and audio. It has a high context length of 1048576 tokens, allowing for in-depth processing of complex inputs. Considering its price point, the Gemini 3.6 Flash may be worth shortlisting for users who require multi-modal support or need to perform tasks that benefit from reasoning capabilities. With a blended benchmark score of 73.7 across three independent benchmarks, it demonstrates respectable performance at $0.75 per million input tokens and $3.75 per million output tokens. This balance between cost and capability may make it an attractive option for developers who can utilize its tools and structured output features, although its suitability ultimately depends on the specific use case.