Gemini 1.0 Pro Deprecated
Handles both text and image inputs for content generation and problem-solving.
Aigur is a free and open-source (MIT) library designed to compose and invoke fully typed Generative AI pipelines. It simplifies the process of building multi-user Generative AI-based applications by managing requests, user plans, and security. Aigur provides tools for defining backend logic using a visual editor, creating frontends with prebuilt AI-focused components, and integrating with popular Generative AI engines.
Use Aigur to build Generative AI applications by defining backend logic with a visual editor, creating frontends using prebuilt components, and integrating with AI engines through predefined integrations. Manage user plans and security through Aigur's built-in features.
Aigur is a free, open-source library used to compose and invoke fully typed Generative AI pipelines, helping you build multi-user Generative AI applications.
Aigur provides features including plan management, a visual editor for backend definition, prebuilt components for frontend development, predefined integrations with AI engines, and security enforcement tools.
Aigur is currently free during its Beta phase and intends to remain free for personal and hobbyist use with a generous free tier.
Use these comparison pages to understand the trade-offs between the models most relevant to Aigur.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.