Google: Gemini 3.5 Flash

Gemini 3.5 Flash is a multimodal model from Google that accepts text, images, video, audio, and file inputs, making it one of the broader intake options available. Its context window reaches roughly one million tokens, and it supports both tool use and reasoning, giving it range across retrieval-heavy, agentic, and multi-step tasks. Maximum output is capped at 65,536 tokens per call. At $1.50 per million input tokens and $9.00 per million output tokens, it sits in a mid-range price band where output costs in particular deserve attention for high-volume workloads. Its blended benchmark score of 84.5 is drawn from only three benchmarks, so treat that figure as directional rather than definitive. The coding sub-score is notably strong at 100.0, while the agentic score of 61.8 is more modest, so teams prioritizing autonomous, multi-step pipelines should weigh that gap against alternatives before committing.