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GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.


GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.


GPT-4o Realtime Preview is OpenAI’s latest and most advanced multimodal AI model—designed for lightning-fast, real-time interaction across text, vision, and audio. The "o" stands for "omni," reflecting its groundbreaking ability to understand and generate across multiple input and output types. With human-like responsiveness, low latency, and top-tier intelligence, GPT-4o Realtime Preview offers a glimpse into the future of natural AI interfaces. Whether you're building voice assistants, dynamic UIs, or smart multi-input applications, GPT-4o is the new gold standard in real-time AI performance.


GPT-4o-mini-tts is OpenAI's lightweight, high-speed text-to-speech (TTS) model designed for fast, real-time voice synthesis using the GPT-4o-mini architecture. It's built to deliver natural, expressive, and low-latency speech output—ideal for developers building interactive applications that require instant voice responses, such as AI assistants, voice agents, or educational tools. Unlike larger TTS models, GPT-4o-mini-tts balances performance and efficiency, enabling responsive, engaging voice output even in environments with limited compute resources.


GPT-4o-mini-tts is OpenAI's lightweight, high-speed text-to-speech (TTS) model designed for fast, real-time voice synthesis using the GPT-4o-mini architecture. It's built to deliver natural, expressive, and low-latency speech output—ideal for developers building interactive applications that require instant voice responses, such as AI assistants, voice agents, or educational tools. Unlike larger TTS models, GPT-4o-mini-tts balances performance and efficiency, enabling responsive, engaging voice output even in environments with limited compute resources.


GPT-4o-mini-tts is OpenAI's lightweight, high-speed text-to-speech (TTS) model designed for fast, real-time voice synthesis using the GPT-4o-mini architecture. It's built to deliver natural, expressive, and low-latency speech output—ideal for developers building interactive applications that require instant voice responses, such as AI assistants, voice agents, or educational tools. Unlike larger TTS models, GPT-4o-mini-tts balances performance and efficiency, enabling responsive, engaging voice output even in environments with limited compute resources.


Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.


Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.


Gemini 2.0 Flash Preview Image Generation is Google’s experimental vision feature built into the Flash model. It enables developers to generate and edit images alongside text in a conversational manner and supports multi-turn, context-aware visual workflows via the Gemini API or Vertex AI.


Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks


Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks


Gemini Embedding is Google DeepMind’s state-of-the-art text embedding model, built on the powerful Gemini family. It transforms text into high-dimensional numerical vectors (up to 3,072 dimensions) with exceptional accuracy and generalization across over 100 languages and multiple modalities—including code. It achieves state-of-the-art results on the Massive Multilingual Text Embedding Benchmark (MMTEB), outperforming prior models across multilingual, English, and code-based tasks


Gemini 2.0 Flash Live is Google DeepMind’s real-time, multimodal chatbot variant powered by the Live API. It supports simultaneous streaming of voice, video, and text inputs, and responds in both spoken audio and text, enabling rich, bidirectional live interactions with low latency and tool integration.


Gemini 2.0 Flash Live is Google DeepMind’s real-time, multimodal chatbot variant powered by the Live API. It supports simultaneous streaming of voice, video, and text inputs, and responds in both spoken audio and text, enabling rich, bidirectional live interactions with low latency and tool integration.


Gemini 2.0 Flash Live is Google DeepMind’s real-time, multimodal chatbot variant powered by the Live API. It supports simultaneous streaming of voice, video, and text inputs, and responds in both spoken audio and text, enabling rich, bidirectional live interactions with low latency and tool integration.


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.


DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.


DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.


Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.


Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.


Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.

Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.

Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.

Mistral Nemotron is a preview large language model, jointly developed by Mistral AI and NVIDIA, released on June 11, 2025. Optimized by NVIDIA for inference using TensorRT-LLM and vLLM, it supports a massive 128K-token context window and is built for agentic workflows—excelling in instruction-following, function calling, and code generation—while delivering state-of-the-art performance across reasoning, math, coding, and multilingual benchmarks.


Gemma is a family of lightweight, state-of-the-art open models from Google DeepMind, built using the same research and technology that powers the Gemini models. Available in sizes from 270M to 27B parameters, they support multimodal understanding with text, image, video, and audio inputs while generating text outputs, alongside strong multilingual capabilities across over 140 languages. Specialized variants like CodeGemma for coding, PaliGemma for vision-language tasks, ShieldGemma for safety classification, MedGemma for medical imaging and text, and mobile-optimized Gemma 3n enable developers to create efficient AI apps that run on devices from phones to servers. These models excel in tasks like summarization, question answering, reasoning, code generation, and translation, with tools for fine-tuning and deployment.


Gemma is a family of lightweight, state-of-the-art open models from Google DeepMind, built using the same research and technology that powers the Gemini models. Available in sizes from 270M to 27B parameters, they support multimodal understanding with text, image, video, and audio inputs while generating text outputs, alongside strong multilingual capabilities across over 140 languages. Specialized variants like CodeGemma for coding, PaliGemma for vision-language tasks, ShieldGemma for safety classification, MedGemma for medical imaging and text, and mobile-optimized Gemma 3n enable developers to create efficient AI apps that run on devices from phones to servers. These models excel in tasks like summarization, question answering, reasoning, code generation, and translation, with tools for fine-tuning and deployment.


Gemma is a family of lightweight, state-of-the-art open models from Google DeepMind, built using the same research and technology that powers the Gemini models. Available in sizes from 270M to 27B parameters, they support multimodal understanding with text, image, video, and audio inputs while generating text outputs, alongside strong multilingual capabilities across over 140 languages. Specialized variants like CodeGemma for coding, PaliGemma for vision-language tasks, ShieldGemma for safety classification, MedGemma for medical imaging and text, and mobile-optimized Gemma 3n enable developers to create efficient AI apps that run on devices from phones to servers. These models excel in tasks like summarization, question answering, reasoning, code generation, and translation, with tools for fine-tuning and deployment.

Gemini CLI is an open-source AI agent from Google that brings the power of Gemini 3 directly into your terminal, enabling developers to build, debug, and deploy apps with natural language commands. It uses a ReAct loop for complex tasks like querying large codebases, generating apps from images or PDFs, fixing bugs, automating workflows, and handling GitHub issues, all while running locally on Mac, Windows, or Linux. Key features include slash commands for quick actions, custom commands for shortcuts, checkpointing to save sessions, headless mode for scripting, sandboxing for secure tool execution, context files like GEMINI.md for project-specific instructions, token caching to cut costs, and integrations with Google Search, MCP servers for extensions like Veo or Imagen, and IDEs like VS Code. Install via npm for free access to powerful coding assistance, research, content generation, and task management right in your command line.

Gemini CLI is an open-source AI agent from Google that brings the power of Gemini 3 directly into your terminal, enabling developers to build, debug, and deploy apps with natural language commands. It uses a ReAct loop for complex tasks like querying large codebases, generating apps from images or PDFs, fixing bugs, automating workflows, and handling GitHub issues, all while running locally on Mac, Windows, or Linux. Key features include slash commands for quick actions, custom commands for shortcuts, checkpointing to save sessions, headless mode for scripting, sandboxing for secure tool execution, context files like GEMINI.md for project-specific instructions, token caching to cut costs, and integrations with Google Search, MCP servers for extensions like Veo or Imagen, and IDEs like VS Code. Install via npm for free access to powerful coding assistance, research, content generation, and task management right in your command line.

Gemini CLI is an open-source AI agent from Google that brings the power of Gemini 3 directly into your terminal, enabling developers to build, debug, and deploy apps with natural language commands. It uses a ReAct loop for complex tasks like querying large codebases, generating apps from images or PDFs, fixing bugs, automating workflows, and handling GitHub issues, all while running locally on Mac, Windows, or Linux. Key features include slash commands for quick actions, custom commands for shortcuts, checkpointing to save sessions, headless mode for scripting, sandboxing for secure tool execution, context files like GEMINI.md for project-specific instructions, token caching to cut costs, and integrations with Google Search, MCP servers for extensions like Veo or Imagen, and IDEs like VS Code. Install via npm for free access to powerful coding assistance, research, content generation, and task management right in your command line.

Gemini 3 is Google's most advanced AI model family, including Gemini 3 Pro and Gemini 3 Flash, excelling in state-of-the-art reasoning, multimodal understanding across text, images, video, audio, and code, with exceptional agentic capabilities for handling complex, multi-step tasks autonomously. Accessible directly in Google AI Studio for developers to experiment, tune prompts, and build apps, it shines in vibe coding, generating interactive experiences from ideas, superior tool use like Google Search integration, and conversational editing for images. With a massive 1M token context window, Deep Think mode for ultra-complex problem-solving, and features like structured outputs and function calling, it powers everything from personal assistants to sophisticated workflows, outperforming predecessors on benchmarks like GPQA and ARC-AGI.

Gemini 3 is Google's most advanced AI model family, including Gemini 3 Pro and Gemini 3 Flash, excelling in state-of-the-art reasoning, multimodal understanding across text, images, video, audio, and code, with exceptional agentic capabilities for handling complex, multi-step tasks autonomously. Accessible directly in Google AI Studio for developers to experiment, tune prompts, and build apps, it shines in vibe coding, generating interactive experiences from ideas, superior tool use like Google Search integration, and conversational editing for images. With a massive 1M token context window, Deep Think mode for ultra-complex problem-solving, and features like structured outputs and function calling, it powers everything from personal assistants to sophisticated workflows, outperforming predecessors on benchmarks like GPQA and ARC-AGI.

Gemini 3 is Google's most advanced AI model family, including Gemini 3 Pro and Gemini 3 Flash, excelling in state-of-the-art reasoning, multimodal understanding across text, images, video, audio, and code, with exceptional agentic capabilities for handling complex, multi-step tasks autonomously. Accessible directly in Google AI Studio for developers to experiment, tune prompts, and build apps, it shines in vibe coding, generating interactive experiences from ideas, superior tool use like Google Search integration, and conversational editing for images. With a massive 1M token context window, Deep Think mode for ultra-complex problem-solving, and features like structured outputs and function calling, it powers everything from personal assistants to sophisticated workflows, outperforming predecessors on benchmarks like GPQA and ARC-AGI.
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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