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o1 is a fast, highly capable language model developed by OpenAI, optimized for performance, cost-efficiency, and general-purpose use. It represents the entry point into OpenAI’s GPT-4 class of models, delivering high-quality natural language generation, comprehension, and interaction at lower latency and cost than GPT-4 Turbo. Despite being a newer and smaller variant, o1 is robust enough for most AI applications—from content generation to customer support—making it a reliable choice for developers looking to build intelligent and responsive systems.


o1 is a fast, highly capable language model developed by OpenAI, optimized for performance, cost-efficiency, and general-purpose use. It represents the entry point into OpenAI’s GPT-4 class of models, delivering high-quality natural language generation, comprehension, and interaction at lower latency and cost than GPT-4 Turbo. Despite being a newer and smaller variant, o1 is robust enough for most AI applications—from content generation to customer support—making it a reliable choice for developers looking to build intelligent and responsive systems.


o1 is a fast, highly capable language model developed by OpenAI, optimized for performance, cost-efficiency, and general-purpose use. It represents the entry point into OpenAI’s GPT-4 class of models, delivering high-quality natural language generation, comprehension, and interaction at lower latency and cost than GPT-4 Turbo. Despite being a newer and smaller variant, o1 is robust enough for most AI applications—from content generation to customer support—making it a reliable choice for developers looking to build intelligent and responsive systems.


o3 is OpenAI's next-generation language model, representing a significant leap in performance, reasoning ability, and efficiency. Positioned between GPT-4 and GPT-4o in terms of evolution, o3 is engineered for advanced language understanding, content generation, multilingual communication, and code-related tasks—while maintaining faster speeds and lower latency than earlier models. As part of OpenAI’s GPT-4 Turbo family, o3 delivers high-quality outputs at scale, supporting both chat and completion endpoints. It’s currently used in various commercial and developer-facing tools for streamlined and intelligent interactions.


o3 is OpenAI's next-generation language model, representing a significant leap in performance, reasoning ability, and efficiency. Positioned between GPT-4 and GPT-4o in terms of evolution, o3 is engineered for advanced language understanding, content generation, multilingual communication, and code-related tasks—while maintaining faster speeds and lower latency than earlier models. As part of OpenAI’s GPT-4 Turbo family, o3 delivers high-quality outputs at scale, supporting both chat and completion endpoints. It’s currently used in various commercial and developer-facing tools for streamlined and intelligent interactions.


o3 is OpenAI's next-generation language model, representing a significant leap in performance, reasoning ability, and efficiency. Positioned between GPT-4 and GPT-4o in terms of evolution, o3 is engineered for advanced language understanding, content generation, multilingual communication, and code-related tasks—while maintaining faster speeds and lower latency than earlier models. As part of OpenAI’s GPT-4 Turbo family, o3 delivers high-quality outputs at scale, supporting both chat and completion endpoints. It’s currently used in various commercial and developer-facing tools for streamlined and intelligent interactions.


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 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.


GPT-4.1 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.


GPT-4.1 Mini is a lightweight version of OpenAI’s advanced GPT-4.1 model, designed for efficiency, speed, and affordability without compromising much on performance. Tailored for developers and teams who need capable AI reasoning and natural language processing in smaller-scale or cost-sensitive applications, GPT-4.1 Mini brings the power of GPT-4.1 into a more accessible form factor. Perfect for chatbots, content suggestions, productivity tools, and streamlined AI experiences, this compact model still delivers impressive accuracy, fast responses, and a reliable understanding of nuanced prompts—all while using fewer resources.


GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.


GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.


GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.


LM Studio is a local AI toolkit that empowers users to discover, download, and run Large Language Models (LLMs) directly on their personal computers. It provides a user-friendly interface to chat with models, set up a local LLM server for applications, and ensures complete data privacy as all processes occur locally on your machine.


LM Studio is a local AI toolkit that empowers users to discover, download, and run Large Language Models (LLMs) directly on their personal computers. It provides a user-friendly interface to chat with models, set up a local LLM server for applications, and ensures complete data privacy as all processes occur locally on your machine.


LM Studio is a local AI toolkit that empowers users to discover, download, and run Large Language Models (LLMs) directly on their personal computers. It provides a user-friendly interface to chat with models, set up a local LLM server for applications, and ensures complete data privacy as all processes occur locally on your machine.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.


LLM Gateway is a unified API gateway designed to simplify working with large language models (LLMs) from multiple providers by offering a single, OpenAI-compatible endpoint. Whether using OpenAI, Anthropic, Google Vertex AI, or others, developers can route, monitor, and manage requests—all without altering existing code. Available as an open-source self-hosted option (MIT-licensed) or hosted service, it combines powerful features for analytics, cost optimization, and performance management—all under one roof.

TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.

TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.

TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.
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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