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OpenAI o3-mini is a lightweight, efficient AI model from OpenAI’s "o3" series, designed to balance cost, speed, and intelligence. It is optimized for faster inference and lower computational costs, making it an ideal choice for businesses and developers who need AI-powered applications without the high expense of larger models like GPT-4o.


OpenAI o3-mini is a lightweight, efficient AI model from OpenAI’s "o3" series, designed to balance cost, speed, and intelligence. It is optimized for faster inference and lower computational costs, making it an ideal choice for businesses and developers who need AI-powered applications without the high expense of larger models like GPT-4o.


OpenAI o3-mini is a lightweight, efficient AI model from OpenAI’s "o3" series, designed to balance cost, speed, and intelligence. It is optimized for faster inference and lower computational costs, making it an ideal choice for businesses and developers who need AI-powered applications without the high expense of larger models like GPT-4o.


OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.


OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.


OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.

text-embedding-3-large is OpenAI’s most advanced embedding model designed to convert natural language text into high-dimensional vector representations. With 3,072 dimensions per embedding and cutting-edge architecture, it offers best-in-class performance for tasks like semantic search, content recommendations, clustering, classification, and more. Built to deliver top-tier semantic understanding, this model is ideal when accuracy and relevance are mission-critical. It’s the spiritual successor to text-embedding-ada-002, bringing huge improvements in contextual understanding, generalization, and relevance scoring.


text-embedding-3-large is OpenAI’s most advanced embedding model designed to convert natural language text into high-dimensional vector representations. With 3,072 dimensions per embedding and cutting-edge architecture, it offers best-in-class performance for tasks like semantic search, content recommendations, clustering, classification, and more. Built to deliver top-tier semantic understanding, this model is ideal when accuracy and relevance are mission-critical. It’s the spiritual successor to text-embedding-ada-002, bringing huge improvements in contextual understanding, generalization, and relevance scoring.


text-embedding-3-large is OpenAI’s most advanced embedding model designed to convert natural language text into high-dimensional vector representations. With 3,072 dimensions per embedding and cutting-edge architecture, it offers best-in-class performance for tasks like semantic search, content recommendations, clustering, classification, and more. Built to deliver top-tier semantic understanding, this model is ideal when accuracy and relevance are mission-critical. It’s the spiritual successor to text-embedding-ada-002, bringing huge improvements in contextual understanding, generalization, and relevance scoring.


o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.


o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.


o1-pro is a highly capable AI model developed by OpenAI, designed to deliver efficient, high-quality text generation across a wide range of use cases. As part of OpenAI’s GPT-4 architecture family, o1-pro is optimized for low-latency performance and high accuracy—making it suitable for both everyday tasks and enterprise-scale applications. It powers natural language interactions, content creation, summarization, and more, offering developers a solid balance between performance, cost, and output quality.


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.


codex-mini-latest is OpenAI’s lightweight, high-speed AI coding model, fine-tuned from the o4-mini architecture. Designed specifically for use with the Codex CLI, it brings ChatGPT-level reasoning directly to your terminal, enabling efficient code generation, debugging, and editing tasks. Despite its compact size, codex-mini-latest delivers impressive performance, making it ideal for developers seeking a fast, cost-effective coding assistant.


codex-mini-latest is OpenAI’s lightweight, high-speed AI coding model, fine-tuned from the o4-mini architecture. Designed specifically for use with the Codex CLI, it brings ChatGPT-level reasoning directly to your terminal, enabling efficient code generation, debugging, and editing tasks. Despite its compact size, codex-mini-latest delivers impressive performance, making it ideal for developers seeking a fast, cost-effective coding assistant.


codex-mini-latest is OpenAI’s lightweight, high-speed AI coding model, fine-tuned from the o4-mini architecture. Designed specifically for use with the Codex CLI, it brings ChatGPT-level reasoning directly to your terminal, enabling efficient code generation, debugging, and editing tasks. Despite its compact size, codex-mini-latest delivers impressive performance, making it ideal for developers seeking a fast, cost-effective coding assistant.


GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.


GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.


GPT-4 Turbo is OpenAI’s enhanced version of GPT-4, engineered to deliver faster performance, extended context handling, and more cost-effective usage. Released in November 2023, GPT-4 Turbo boasts a 128,000-token context window, allowing it to process and generate longer and more complex content. It supports multimodal inputs, including text and images, making it versatile for various applications.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


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.

Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.

Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.

Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.
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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