Gemini 2.5 Flash Preview 09-2025 by Google

Gemini 2.0 Flash

Gemini 2.0 Flash delivers next-gen features and improved capabilities, including superior speed, built-in tool use, multimodal generation, and a 1M token context window.

Gemini 2.0 Flash Lite

Gemini 2.0 Flash delivers next-gen features and improved capabilities, including superior speed, built-in tool use, multimodal generation, and a 1M token context window.

Gemini 2.5 Flash

Gemini 2.5 Flash is a thinking model that offers great, well-rounded capabilities. It is designed to offer a balance between price and performance with multimodal support and a 1M token context window.

Gemini 2.5 Flash Image Preview (Code name: Nano Banana)

Gemini 2.5 Flash Image Preview is our first fully hybrid reasoning model, letting developers turn thinking on or off and set thinking budgets to balance quality, cost, and latency. Upgraded for rapid creative workflows, it can generate interleaved text and images and supports conversational, multi‑turn image editing in natural language. It’s also locale‑aware, enabling culturally and linguistically appropriate image generation for audiences worldwide.

Gemini 2.5 Flash Lite

Gemini 2.5 Flash-Lite is a balanced, low-latency model with configurable thinking budgets and tool connectivity (e.g., Google Search grounding and code execution). It supports multimodal input and offers a 1M-token context window.

Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash-Lite is a balanced, low-latency model with configurable thinking budgets and tool connectivity (e.g., Google Search grounding and code execution). It supports multimodal input and offers a 1M-token context window.

Gemini 2.5 Pro

Gemini 2.5 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. It features a 2M token context window and supports multimodal inputs including text, images, audio, video, and PDF documents.

Gemini Embedding 001

State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.

Gemma 2 9B IT

9 billion parameter open source model by Google fine-tuned for chat purposes. Served by Groq with their custom Language Processing Units (LPUs) hardware to provide fast and efficient inference.

Text Embedding 005

English-focused text embedding model optimized for code and English language tasks.

Text Multilingual Embedding 002

Multilingual text embedding model optimized for cross-lingual tasks across many languages.