The complete Google Gemini model lineup: 29 models spanning from the lightweight Gemini Flash series to the flagship Gemini Pro. Google's Gemini family is known for industry-leading context windows (up to 1.0M tokens), strong multimodal capabilities, and competitive free-tier pricing. Scores updated hourly from live data.
29 models from Google, sorted by composite score
Google is known for massive context windows -- here is how each Gemini model compares
Gemini Pro models are Google's flagship offerings, optimized for maximum capability and accuracy on complex tasks including reasoning, code generation, and multimodal analysis. Gemini Flash models trade a small amount of quality for significantly faster inference and lower pricing, making them ideal for high-volume production workloads.
Google leads the industry in context window size. Gemini models offer up to 1.0M tokens of context, enabling use cases like full-codebase analysis, processing entire books, or ingesting hundreds of documents in a single prompt without chunking or RAG.
22 of 29 Gemini models support vision (image understanding), and 13 support function calling. Gemini was built from the ground up as a multimodal architecture, allowing it to natively process text, images, audio, and video within the same model.
Google offers 5 free Gemini models through the API, making it one of the most accessible providers for developers to experiment with. Combined with generous rate limits on the free tier, Gemini is often the first choice for prototyping and small-scale applications.
Google offers Gemini 2.0 Flash, Gemini 2.0 Pro, Gemini 1.5 Pro, and Gemini 1.5 Flash. The Flash variants prioritize speed and cost, while Pro models deliver maximum capability for complex tasks.
Google offers generous free tiers for Gemini models. Gemini 2.0 Flash has free API access with rate limits, making it one of the most accessible advanced AI models available.
Gemini 2.0 Flash is competitive with GPT-4o on most benchmarks at significantly lower prices. Gemini excels at multimodal tasks with native image understanding. Check our benchmarks for the latest head-to-head results.