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AI Agent is an advanced software program designed to autonomously perform tasks or make decisions based on predefined goals and environmental inputs. Unlike standard AI models, AI Agents are capable of interacting with their environment, learning from new information, and adapting their behaviors to achieve a specified goal. With the power of modern technology, AI Agents can automate complex workflows, boost productivity, and enhance decision-making across various domains. These intelligent systems can perform intricate functions autonomously, filling skill gaps, improving efficiency, and reducing manual effort, allowing businesses and individuals to get more done in less time.
AI Agent is an advanced software program designed to autonomously perform tasks or make decisions based on predefined goals and environmental inputs. Unlike standard AI models, AI Agents are capable of interacting with their environment, learning from new information, and adapting their behaviors to achieve a specified goal. With the power of modern technology, AI Agents can automate complex workflows, boost productivity, and enhance decision-making across various domains. These intelligent systems can perform intricate functions autonomously, filling skill gaps, improving efficiency, and reducing manual effort, allowing businesses and individuals to get more done in less time.
AI Agent is an advanced software program designed to autonomously perform tasks or make decisions based on predefined goals and environmental inputs. Unlike standard AI models, AI Agents are capable of interacting with their environment, learning from new information, and adapting their behaviors to achieve a specified goal. With the power of modern technology, AI Agents can automate complex workflows, boost productivity, and enhance decision-making across various domains. These intelligent systems can perform intricate functions autonomously, filling skill gaps, improving efficiency, and reducing manual effort, allowing businesses and individuals to get more done in less time.
Gemini 2.5 Pro is Google DeepMind’s advanced hybrid-reasoning AI model, designed to think deeply before responding. With support for multimodal inputs—text, images, audio, video, and code—it offers lightning-fast inference performance, up to 2 million tokens of context, and top-tier results in math, science, and coding benchmarks.
Gemini 2.5 Pro is Google DeepMind’s advanced hybrid-reasoning AI model, designed to think deeply before responding. With support for multimodal inputs—text, images, audio, video, and code—it offers lightning-fast inference performance, up to 2 million tokens of context, and top-tier results in math, science, and coding benchmarks.
Gemini 2.5 Pro is Google DeepMind’s advanced hybrid-reasoning AI model, designed to think deeply before responding. With support for multimodal inputs—text, images, audio, video, and code—it offers lightning-fast inference performance, up to 2 million tokens of context, and top-tier results in math, science, and coding benchmarks.
Gemini 2.5 Flash is Google DeepMind’s cost-efficient, low-latency hybrid-reasoning model. Designed for large-scale, real-time tasks that require thinking—like classification, translation, conversational AI, and agent behaviors—it supports text, image, audio, and video input, and offers developer control over its reasoning depth. It balances high speed with strong multimodal intelligence.
Gemini 2.5 Flash is Google DeepMind’s cost-efficient, low-latency hybrid-reasoning model. Designed for large-scale, real-time tasks that require thinking—like classification, translation, conversational AI, and agent behaviors—it supports text, image, audio, and video input, and offers developer control over its reasoning depth. It balances high speed with strong multimodal intelligence.
Gemini 2.5 Flash is Google DeepMind’s cost-efficient, low-latency hybrid-reasoning model. Designed for large-scale, real-time tasks that require thinking—like classification, translation, conversational AI, and agent behaviors—it supports text, image, audio, and video input, and offers developer control over its reasoning depth. It balances high speed with strong multimodal intelligence.
Gemini 2.0 Flash is Google DeepMind’s next-gen workhorse model designed for real-time, multimodal reasoning. It delivers twice the speed of the previous Pro-tier model with support for text, image, video, and audio inputs. Flash also outputs native images and steerable text-to-speech audio, and can call tools such as search, code execution, and third-party functions—all within a massive 1 million token context window.
Gemini 2.0 Flash is Google DeepMind’s next-gen workhorse model designed for real-time, multimodal reasoning. It delivers twice the speed of the previous Pro-tier model with support for text, image, video, and audio inputs. Flash also outputs native images and steerable text-to-speech audio, and can call tools such as search, code execution, and third-party functions—all within a massive 1 million token context window.
Gemini 2.0 Flash is Google DeepMind’s next-gen workhorse model designed for real-time, multimodal reasoning. It delivers twice the speed of the previous Pro-tier model with support for text, image, video, and audio inputs. Flash also outputs native images and steerable text-to-speech audio, and can call tools such as search, code execution, and third-party functions—all within a massive 1 million token context window.
Gemini 2.0 Flash‑Lite is Google DeepMind’s most cost-efficient, low-latency variant of the Gemini 2.0 Flash model, now publicly available in preview. It delivers fast, multimodal reasoning across text, image, audio, and video inputs, supports native tool use, and processes up to a 1 million token context window—all while keeping latency and cost exceptionally low .
Gemini 2.0 Flash‑Lite is Google DeepMind’s most cost-efficient, low-latency variant of the Gemini 2.0 Flash model, now publicly available in preview. It delivers fast, multimodal reasoning across text, image, audio, and video inputs, supports native tool use, and processes up to a 1 million token context window—all while keeping latency and cost exceptionally low .
Gemini 2.0 Flash‑Lite is Google DeepMind’s most cost-efficient, low-latency variant of the Gemini 2.0 Flash model, now publicly available in preview. It delivers fast, multimodal reasoning across text, image, audio, and video inputs, supports native tool use, and processes up to a 1 million token context window—all while keeping latency and cost exceptionally low .
Gemini 1.5 Flash is Google DeepMind’s high-speed, multimodal AI model distilled from the 1.5 Pro variant. It supports text, images, audio, video, PDFs, and large context windows up to 1 million tokens. Designed for real-time, large-scale use, it delivers sub-second first-token latency and retains strong reasoning, summarization, and multimodal understanding capabilities.
Gemini 1.5 Flash is Google DeepMind’s high-speed, multimodal AI model distilled from the 1.5 Pro variant. It supports text, images, audio, video, PDFs, and large context windows up to 1 million tokens. Designed for real-time, large-scale use, it delivers sub-second first-token latency and retains strong reasoning, summarization, and multimodal understanding capabilities.
Gemini 1.5 Flash is Google DeepMind’s high-speed, multimodal AI model distilled from the 1.5 Pro variant. It supports text, images, audio, video, PDFs, and large context windows up to 1 million tokens. Designed for real-time, large-scale use, it delivers sub-second first-token latency and retains strong reasoning, summarization, and multimodal understanding capabilities.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
Gemini 1.5 Pro is Google DeepMind’s mid-size multimodal model, using a mixture-of-experts (MoE) architecture to deliver high performance with lower compute. It supports text, images, audio, video, and code, and features an experimental context window up to 1 million tokens—the longest among widely available models. It excels in long-document reasoning, multimodal understanding, and in-context learning.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
GenFuse AI is a powerful no-code AI automation platform that enables users to build, manage, and deploy intelligent AI agents without writing a single line of code. Designed for professionals, teams, and businesses of all sizes. GenFuse AI automates complex workflows—combining text, images, and logic—into seamless, goal-oriented agents. Whether you are creating task bots, automating internal processes, or building customer-facing assistants. GenFuseAI makes advanced AI accessible to everyone.
GenFuse AI is a powerful no-code AI automation platform that enables users to build, manage, and deploy intelligent AI agents without writing a single line of code. Designed for professionals, teams, and businesses of all sizes. GenFuse AI automates complex workflows—combining text, images, and logic—into seamless, goal-oriented agents. Whether you are creating task bots, automating internal processes, or building customer-facing assistants. GenFuseAI makes advanced AI accessible to everyone.
GenFuse AI is a powerful no-code AI automation platform that enables users to build, manage, and deploy intelligent AI agents without writing a single line of code. Designed for professionals, teams, and businesses of all sizes. GenFuse AI automates complex workflows—combining text, images, and logic—into seamless, goal-oriented agents. Whether you are creating task bots, automating internal processes, or building customer-facing assistants. GenFuseAI makes advanced AI accessible to everyone.
Google Workspace AI (also known as "Gemini in Workspace") is Google’s integrated suite of AI-powered features embedded throughout Gmail, Docs, Sheets, Slides, Meet, Chat, Drive, Vids, Forms, and more. Introduced fully in early 2025, it brings Gemini 2.5 Pro, NotebookLM Plus, agentic workflows via Workspace Flows, and domain-specific video editing to help businesses and educators work smarter and faster.
Google Workspace AI (also known as "Gemini in Workspace") is Google’s integrated suite of AI-powered features embedded throughout Gmail, Docs, Sheets, Slides, Meet, Chat, Drive, Vids, Forms, and more. Introduced fully in early 2025, it brings Gemini 2.5 Pro, NotebookLM Plus, agentic workflows via Workspace Flows, and domain-specific video editing to help businesses and educators work smarter and faster.
Google Workspace AI (also known as "Gemini in Workspace") is Google’s integrated suite of AI-powered features embedded throughout Gmail, Docs, Sheets, Slides, Meet, Chat, Drive, Vids, Forms, and more. Introduced fully in early 2025, it brings Gemini 2.5 Pro, NotebookLM Plus, agentic workflows via Workspace Flows, and domain-specific video editing to help businesses and educators work smarter and faster.
Reka is an AI research and product company specializing in multimodal AI systems. Founded by former DeepMind and Meta FAIR scientists, Reka develops advanced AI models and applications that integrate text, images, audio, and video inputs. The company focuses on creating efficient, scalable, and deployable AI solutions for enterprises and developers.
Reka is an AI research and product company specializing in multimodal AI systems. Founded by former DeepMind and Meta FAIR scientists, Reka develops advanced AI models and applications that integrate text, images, audio, and video inputs. The company focuses on creating efficient, scalable, and deployable AI solutions for enterprises and developers.
Reka is an AI research and product company specializing in multimodal AI systems. Founded by former DeepMind and Meta FAIR scientists, Reka develops advanced AI models and applications that integrate text, images, audio, and video inputs. The company focuses on creating efficient, scalable, and deployable AI solutions for enterprises and developers.
Dotlane is an all-in-one AI assistant platform that brings together multiple leading AI models under a single, user-friendly interface. Instead of subscribing to or switching between different providers, users can access models from OpenAI, Anthropic, Grok, Mistral, Deepseek, and others in one place. It offers a wide range of features including advanced chat, file understanding and summarization, real-time search, and image generation. Dotlane’s mission is to make powerful AI accessible, fair, and transparent for individuals and teams alike.
Dotlane is an all-in-one AI assistant platform that brings together multiple leading AI models under a single, user-friendly interface. Instead of subscribing to or switching between different providers, users can access models from OpenAI, Anthropic, Grok, Mistral, Deepseek, and others in one place. It offers a wide range of features including advanced chat, file understanding and summarization, real-time search, and image generation. Dotlane’s mission is to make powerful AI accessible, fair, and transparent for individuals and teams alike.
Dotlane is an all-in-one AI assistant platform that brings together multiple leading AI models under a single, user-friendly interface. Instead of subscribing to or switching between different providers, users can access models from OpenAI, Anthropic, Grok, Mistral, Deepseek, and others in one place. It offers a wide range of features including advanced chat, file understanding and summarization, real-time search, and image generation. Dotlane’s mission is to make powerful AI accessible, fair, and transparent for individuals and teams alike.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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