Google: Gemini 2.5 Flash

Gemini 2.5 Flash is Google's multimodal model accepting text, images, files, audio, and video as input, with a context window of roughly one million tokens. It supports tool use and reasoning, making it usable for agentic workflows and multi-step tasks. Structured output support is unconfirmed in available data. The output cap sits at 65,535 tokens per response, which covers most practical workloads without issue. At $0.30 per million input tokens and $2.50 per million output tokens, it sits at the budget end of capable multimodal models, which makes it worth shortlisting for cost-sensitive pipelines that need broad input format support. Its blended benchmark score of 48.3 across only three benchmarks leaves meaningful gaps in the performance picture, so treat that figure as preliminary rather than comprehensive. Teams processing mixed-media content at scale will find the pricing attractive, but those prioritizing well-documented accuracy should wait for broader benchmark coverage before committing.