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GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.
GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.
GPT-4.1 is OpenAI’s newest multimodal large language model, designed to deliver highly capable, efficient, and intelligent performance across a broad range of tasks. It builds on the foundation of GPT-4 and GPT-4 Turbo, offering enhanced reasoning, greater factual accuracy, and smoother integration with tools like code interpreters, retrieval systems, and image understanding. With native support for a 128K token context window, function calling, and robust tool usage, GPT-4.1 brings AI closer to behaving like a reliable, adaptive assistant—ready to work, build, and collaborate across tasks with speed and precision.
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.
GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.
GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.
GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.
Ecommerce AI Website Advisor is a ChatGPT-powered assistant created by PageFly, designed to guide Shopify users through decisions like choosing the right plan, apps, and themes. It's like having an on-demand Shopify expert in chat form—no fluff, just personalized advice to optimize your e-commerce setup.
Ecommerce AI Website Advisor is a ChatGPT-powered assistant created by PageFly, designed to guide Shopify users through decisions like choosing the right plan, apps, and themes. It's like having an on-demand Shopify expert in chat form—no fluff, just personalized advice to optimize your e-commerce setup.
Ecommerce AI Website Advisor is a ChatGPT-powered assistant created by PageFly, designed to guide Shopify users through decisions like choosing the right plan, apps, and themes. It's like having an on-demand Shopify expert in chat form—no fluff, just personalized advice to optimize your e-commerce setup.
Claude 3.7 Sonnet is Anthropic’s first hybrid reasoning AI model, combining fast, near-instant replies with optional step-by-step “extended thinking” in a single model. It’s their most intelligent Sonnet release yet—excelling at coding, math, planning, vision, and agentic tasks—while maintaining the same cost and speed structure .
Claude 3.7 Sonnet is Anthropic’s first hybrid reasoning AI model, combining fast, near-instant replies with optional step-by-step “extended thinking” in a single model. It’s their most intelligent Sonnet release yet—excelling at coding, math, planning, vision, and agentic tasks—while maintaining the same cost and speed structure .
Claude 3.7 Sonnet is Anthropic’s first hybrid reasoning AI model, combining fast, near-instant replies with optional step-by-step “extended thinking” in a single model. It’s their most intelligent Sonnet release yet—excelling at coding, math, planning, vision, and agentic tasks—while maintaining the same cost and speed structure .
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 .
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.
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.
GPT-5 is OpenAI’s smartest and most versatile AI model yet, delivering expert-level intelligence across coding, writing, math, health, and multimodal tasks. It is a unified system that dynamically determines when to respond quickly or engage in deeper reasoning, providing accurate and context-aware answers. Powered by advanced neural architectures, GPT-5 significantly reduces hallucinations, enhances instruction following, and excels in real-world applications like software development, creative writing, and health guidance, making it a powerful AI assistant for a broad range of complex tasks and everyday needs.
GPT-5 is OpenAI’s smartest and most versatile AI model yet, delivering expert-level intelligence across coding, writing, math, health, and multimodal tasks. It is a unified system that dynamically determines when to respond quickly or engage in deeper reasoning, providing accurate and context-aware answers. Powered by advanced neural architectures, GPT-5 significantly reduces hallucinations, enhances instruction following, and excels in real-world applications like software development, creative writing, and health guidance, making it a powerful AI assistant for a broad range of complex tasks and everyday needs.
GPT-5 is OpenAI’s smartest and most versatile AI model yet, delivering expert-level intelligence across coding, writing, math, health, and multimodal tasks. It is a unified system that dynamically determines when to respond quickly or engage in deeper reasoning, providing accurate and context-aware answers. Powered by advanced neural architectures, GPT-5 significantly reduces hallucinations, enhances instruction following, and excels in real-world applications like software development, creative writing, and health guidance, making it a powerful AI assistant for a broad range of complex tasks and everyday needs.
Grok 4 is the latest and most intelligent AI model developed by xAI, designed for expert-level reasoning and real-time knowledge integration. It combines large-scale reinforcement learning with native tool use, including code interpretation, web browsing, and advanced search capabilities, to provide highly accurate and up-to-date responses. Grok 4 excels across diverse domains such as math, coding, science, and complex reasoning, supporting multimodal inputs like text and vision. With its massive 256,000-token context window and advanced toolset, Grok 4 is built to push the boundaries of AI intelligence and practical utility for both developers and enterprises.
Grok 4 is the latest and most intelligent AI model developed by xAI, designed for expert-level reasoning and real-time knowledge integration. It combines large-scale reinforcement learning with native tool use, including code interpretation, web browsing, and advanced search capabilities, to provide highly accurate and up-to-date responses. Grok 4 excels across diverse domains such as math, coding, science, and complex reasoning, supporting multimodal inputs like text and vision. With its massive 256,000-token context window and advanced toolset, Grok 4 is built to push the boundaries of AI intelligence and practical utility for both developers and enterprises.
Grok 4 is the latest and most intelligent AI model developed by xAI, designed for expert-level reasoning and real-time knowledge integration. It combines large-scale reinforcement learning with native tool use, including code interpretation, web browsing, and advanced search capabilities, to provide highly accurate and up-to-date responses. Grok 4 excels across diverse domains such as math, coding, science, and complex reasoning, supporting multimodal inputs like text and vision. With its massive 256,000-token context window and advanced toolset, Grok 4 is built to push the boundaries of AI intelligence and practical utility for both developers and enterprises.
Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.
Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.
Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.
Command A Reasoning is Cohere’s enterprise-grade large language model optimized for complex reasoning, tool use, and multilingual capabilities. It supports extended context windows of up to 256,000 tokens, enabling advanced workflows involving large documents and conversations. Designed to integrate with external APIs, databases, and search engines, Command A Reasoning excels in transforming complex queries into clear, accurate, and actionable responses. It balances efficiency with powerful reasoning, supporting 23 languages and enabling businesses to deploy reliable, agentic AI solutions tailored for document-heavy and knowledge-intensive environments.
Command A Reasoning is Cohere’s enterprise-grade large language model optimized for complex reasoning, tool use, and multilingual capabilities. It supports extended context windows of up to 256,000 tokens, enabling advanced workflows involving large documents and conversations. Designed to integrate with external APIs, databases, and search engines, Command A Reasoning excels in transforming complex queries into clear, accurate, and actionable responses. It balances efficiency with powerful reasoning, supporting 23 languages and enabling businesses to deploy reliable, agentic AI solutions tailored for document-heavy and knowledge-intensive environments.
Command A Reasoning is Cohere’s enterprise-grade large language model optimized for complex reasoning, tool use, and multilingual capabilities. It supports extended context windows of up to 256,000 tokens, enabling advanced workflows involving large documents and conversations. Designed to integrate with external APIs, databases, and search engines, Command A Reasoning excels in transforming complex queries into clear, accurate, and actionable responses. It balances efficiency with powerful reasoning, supporting 23 languages and enabling businesses to deploy reliable, agentic AI solutions tailored for document-heavy and knowledge-intensive environments.
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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