Agent-native inference cloud for serverless AI agents. Optimize frontier agentic workloads efficiently.

Test the future of AI-powered search
Gimlet: Agent-native inference cloud for serverless AI agents. Optimize frontier agentic workloads efficiently.. Google Search Labs: Test the future of AI-powered search. Both tools take different approaches to address similar needs.
Google Search Labs offers a free plan, while Gimlet is a paid tool.
The best choice between Gimlet and Google Search Labs depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Gimlet is primarily designed for businesses and professionals, while Google Search Labs is built for individuals.
Gimlet offers: Serverless inference specifically designed for AI agents., Runs custom agents combining LLMs, multimodal models, code sandboxes, and data sources., Models workloads as multi-stage graphs for scalable, high-performance execution., Utilizes a multi-silicon architecture for 10x speed ups and improved power efficiency.. Google Search Labs offers: Search Generative Experience (SGE), AI-powered search overviews, Coding tips and snippets in search, Add to Sheets integration.
Based on our data, Google Search Labs currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.