Multimodal AI with million-token context windows
Google's Gemini family represents the company's most capable AI models, built natively multimodal from the ground up. Gemini 2.5 Pro and Flash lead on long-context tasks with their 1M-token context windows, enabling analysis of entire codebases, lengthy documents, and extensive conversations. Google's TPU infrastructure provides competitive pricing at frontier capability levels.
11 Models
Gemini 2.5 Flash Lite is Google's most cost-effective model, retaining a 1M-token context window while delivering rapid responses at the lowest price point in the Gemini family.
1M ctxVisionTool use
Nano Banana 2 is the image-generating member of the Gemini 3.1 Flash family. It takes text and reference images and returns generated images alongside text, at the price and latency of a Flash model rather than a flagship.
131k ctxImage generationVision
Nano Banana 2 Lite trades context and refinement for price, at half the cost of Nano Banana 2. It suits high-volume generation and quick drafts where you expect to iterate rather than accept the first result.
66k ctxImage generationVision