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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-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.


GPT-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.


GPT-Image-1 is OpenAI's state-of-the-art vision model designed to understand and interpret images with human-like perception. It enables developers and businesses to analyze, summarize, and extract detailed insights from images using natural language. Whether you're building AI agents, accessibility tools, or image-driven workflows, GPT-Image-1 brings powerful multimodal capabilities into your applications with impressive accuracy. Optimized for use via API, it can handle diverse image types—charts, screenshots, photographs, documents, and more—making it one of the most versatile models in OpenAI’s portfolio.

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-transcribe is a lightweight, high-speed speech-to-text model from OpenAI, built on the GPT-4o-mini architecture. It converts spoken language into text with exceptional speed and surprising accuracy for its size—making it ideal for real-time transcription in resource-constrained environments. Whether you're building voice-enabled apps, smart assistants, meeting transcription tools, or captioning systems, GPT-4o-mini-transcribe offers responsive, multilingual transcription that balances cost, performance, and ease of integration.


GPT-4o-mini-transcribe is a lightweight, high-speed speech-to-text model from OpenAI, built on the GPT-4o-mini architecture. It converts spoken language into text with exceptional speed and surprising accuracy for its size—making it ideal for real-time transcription in resource-constrained environments. Whether you're building voice-enabled apps, smart assistants, meeting transcription tools, or captioning systems, GPT-4o-mini-transcribe offers responsive, multilingual transcription that balances cost, performance, and ease of integration.


GPT-4o-mini-transcribe is a lightweight, high-speed speech-to-text model from OpenAI, built on the GPT-4o-mini architecture. It converts spoken language into text with exceptional speed and surprising accuracy for its size—making it ideal for real-time transcription in resource-constrained environments. Whether you're building voice-enabled apps, smart assistants, meeting transcription tools, or captioning systems, GPT-4o-mini-transcribe offers responsive, multilingual transcription that balances cost, performance, and ease of integration.


GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.


GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.


GPT-4o Search Preview is a powerful experimental feature of OpenAI’s GPT-4o model, designed to act as a high-performance retrieval system. Rather than just generating answers from training data, it allows the model to search through large datasets, documents, or knowledge bases to surface relevant results with context-aware accuracy. Think of it as your AI assistant with built-in research superpowers—faster, smarter, and surprisingly precise. This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.


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.


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.


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.


DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.


DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.


DeepSeek R1 Distill Qwen‑32B is a 32-billion-parameter dense reasoning model released in early 2025. Distilled from the flagship DeepSeek R1 using Qwen 2.5‑32B as a base, it delivers state-of-the-art performance among dense LLMs—outperforming OpenAI’s o1‑mini on benchmarks like AIME, MATH‑500, GPQA Diamond, LiveCodeBench, and CodeForces rating.

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.


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.
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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