Gemini 2.5 Flash is Google’s high-performance workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. Includes built-in "thinking" capabilities and is configurable through a "max tokens for reasoning" parameter for fine-tuned performance.
Gemini 3 Flash Preview is a high-speed, cost-effective reasoning model built for agent-driven workflows, multi-turn conversation, and coding support. Offering near-Pro level performance in both reasoning and tool use, it stands out by delivering significantly lower latency than larger Gemini versions—making it ideal for interactive development, long-running agent loops, and collaborative programming. Compared to Gemini 2.5 Flash, it features notable improvements in reasoning ability, multimodal comprehension, and overall reliability. The model supports a 1M token context window and handles multimodal inputs—text, images, audio, video, and PDFs—with text-based output. Features like configurable reasoning levels, structured outputs, tool integration, and automatic context caching make it a strong choice for users seeking powerful agentic capabilities without the high cost or lag of more extensive models.
Gemini 2.5 Flash is Google’s high-performance workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. Includes built-in "thinking" capabilities and is configurable through a "max tokens for reasoning" parameter for fine-tuned performance.
Gemini 3 Pro Preview is Google’s most advanced AI model, setting new records on leading benchmarks like LMArena (1501 Elo), GPQA Diamond (91.9%), and MathArena Apex (23.4%). With powerful reasoning and deep multimodal understanding across text, images, code, video, and audio, Gemini 3 Pro Preview delivers nuanced, context-aware responses and excels at complex problem-solving, scientific analysis, and creative coding tasks.
Gemini 2.5 Pro is Google’s state-of-the-art AI model, designed for advanced reasoning, coding, mathematics, and scientific tasks. Employs “thinking” capabilities for nuanced context handling and achieves top-tier performance on multiple benchmarks, including first-place on the LMArena leaderboard.
Gemini 3 Pro Image Preview (Nano Banana Pro) is Google’s most advanced image generation and editing model, built on Gemini 3 Pro. Building on the original Nano Banana, it offers much improved multimodal reasoning, real-world grounding, and high-fidelity visual synthesis. The model produces context-rich visuals—from infographics and diagrams to cinematic composites—and can incorporate up-to-the-minute information through Search grounding. It leads the industry with sophisticated text rendering in images, handles consistent multi-image blending, and maintains accurate identity preservation for up to five subjects. Nano Banana Pro gives users fine-grained creative controls like localized edits, lighting and focus adjustments, camera transformations, 2K/4K output, and flexible aspect ratios. Tailored for professional design, product visualization, storyboarding, and complex compositions, it remains efficient for everyday image creation needs.
Gemini 2.5 Flash Preview September 2025 Checkpoint is Google’s high-performance model, built for advanced reasoning, code generation, mathematical tasks, and scientific applications. This version introduces faster, more efficient output and smarter tool use for complex, multi-step workflows.
Gemini Flash 2.0 offers significantly faster time to first token (TTFT) compared to previous versions, while maintaining quality on par with larger models. Introduces enhancements in multimodal understanding, coding, complex instruction following, and function calling for robust agentic experiences.
Gemini-Embedding-001 is Google’s top-ranked multilingual embedding model, supporting over 100 languages and flexible output dimensions (3072, 1536, or 768). It is optimized for semantic search, clustering, and recommendations, and leverages Matryoshka Representation Learning for efficient, high-quality embeddings.
Gemini 2.5 Flash Image, also known as "Nano Banana" is a state-of-the-art image generation model with strong contextual understanding. It supports image generation, editing, and multi-turn conversational interactions.
Gemini 2.5 Flash-Lite Preview September 2025 Checkpoint is a lightweight, high-throughput model from the Gemini 2.5 family, focused on ultra-low latency and cost efficiency. It delivers even faster token generation, concise output, and improved performance on standard benchmarks compared to earlier Flash-Lite models, making it ideal for large-scale, real-time applications.
Gemini 2.0 Flash Lite is optimized for extremely fast response times and low cost, while maintaining the quality of larger models. Ideal for real-time and large-scale applications.
Imagen-4 is Google’s latest text-to-image model, engineered for photorealistic quality, improved fine details, advanced spelling and typography rendering, and high accuracy across diverse art styles. It includes SynthID watermarking for AI-generated content identification and is benchmarked as a leader in human preference evaluations.
Gemini 2.5 Flash Image Preview is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations.
Google’s latest open-source multimodal model, Gemma 3 27B, supports vision-language input and text outputs, handles context windows up to 128k tokens, and understands over 140 languages. Offers improved math, reasoning, and chat capabilities, including structured outputs and function calling.
Imagen-3 is Google’s high-quality text-to-image model, producing highly detailed images with rich lighting and minimal visual distractions. It is optimized for overall image quality and creative visual generation.
Gemini Flash 2.0 offers significantly faster time to first token (TTFT) compared to previous versions, while maintaining quality on par with larger models. Introduces enhancements in multimodal understanding, coding, complex instruction following, and function calling for robust agentic experiences.