Best AI Models for ChatGPT

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

Our models are designed to comprehend and produce natural language effectively. We provide four primary models, each tailored for varying levels of complexity and speed to address diverse tasks. Among these, Davinci stands out as the most powerful, while Ada excels in speed. The core GPT-3 models are primarily intended for use with the text completion endpoint, but we also have specific models optimized for alternative endpoints. Davinci is not only the most capable within its family but also adept at executing tasks with less guidance compared to its peers. For scenarios that demand deep content understanding, such as tailored summarization and creative writing, Davinci consistently delivers superior outcomes. However, its enhanced capabilities necessitate greater computational resources, resulting in higher costs per API call and slower response times compared to other models. Overall, selecting the appropriate model depends on the specific requirements of the task at hand.

GPT-4, or Generative Pre-trained Transformer 4, is a highly advanced unsupervised language model that is anticipated for release by OpenAI. As the successor to GPT-3, it belongs to the GPT-n series of natural language processing models and was developed using an extensive dataset comprising 45TB of text, enabling it to generate and comprehend text in a manner akin to human communication. Distinct from many conventional NLP models, GPT-4 operates without the need for additional training data tailored to specific tasks. It is capable of generating text or responding to inquiries by utilizing only the context it creates internally. Demonstrating remarkable versatility, GPT-4 can adeptly tackle a diverse array of tasks such as translation, summarization, question answering, sentiment analysis, and more, all without any dedicated task-specific training. This ability to perform such varied functions further highlights its potential impact on the field of artificial intelligence and natural language processing.

The GPT-3.5 series represents an advancement in OpenAI's large language models, building on the capabilities of its predecessor, GPT-3. These models excel at comprehending and producing human-like text, with four primary variations designed for various applications. The core GPT-3.5 models are intended to be utilized through the text completion endpoint, while additional models are optimized for different endpoint functionalities. Among these, the Davinci model family stands out as the most powerful, capable of executing any task that the other models can handle, often requiring less detailed input. For tasks that demand a deep understanding of context, such as tailoring summaries for specific audiences or generating creative content, the Davinci model tends to yield superior outcomes. However, this enhanced capability comes at a cost, as Davinci requires more computing resources, making it pricier for API usage and slower compared to its counterparts. Overall, the advancements in GPT-3.5 not only improve performance but also expand the range of potential applications.

The GPT-4 model represents a significant advancement in AI, being a large multimodal system capable of handling both text and image inputs while producing text outputs, which allows it to tackle complex challenges with a level of precision unmatched by earlier models due to its extensive general knowledge and enhanced reasoning skills. Accessible through the OpenAI API for subscribers, GPT-4 is also designed for chat interactions, similar to gpt-3.5-turbo, while proving effective for conventional completion tasks via the Chat Completions API. This state-of-the-art version of GPT-4 boasts improved features such as better adherence to instructions, JSON mode, consistent output generation, and the ability to call functions in parallel, making it a versatile tool for developers. However, it is important to note that this preview version is not fully prepared for high-volume production use, as it has a limit of 4,096 output tokens. Users are encouraged to explore its capabilities while keeping in mind its current limitations.

GPT-4o, with the "o" denoting "omni," represents a significant advancement in the realm of human-computer interaction by accommodating various input types such as text, audio, images, and video, while also producing outputs across these same formats. Its capability to process audio inputs allows for responses in as little as 232 milliseconds, averaging 320 milliseconds, which closely resembles the response times seen in human conversations. In terms of performance, it maintains the efficiency of GPT-4 Turbo for English text and coding while showing marked enhancements in handling text in other languages, all while operating at a much faster pace and at a cost that is 50% lower via the API. Furthermore, GPT-4o excels in its ability to comprehend vision and audio, surpassing the capabilities of its predecessors, making it a powerful tool for multi-modal interactions. This innovative model not only streamlines communication but also broadens the possibilities for applications in diverse fields.

GPT-4.5 represents a significant advancement in AI technology, building on previous models by expanding its unsupervised learning techniques, refining its reasoning skills, and enhancing its collaborative features. This model is crafted to better comprehend human intentions and engage in more natural and intuitive interactions, resulting in greater accuracy and reduced hallucination occurrences across various subjects. Its sophisticated functions allow for the creation of imaginative and thought-provoking content, facilitate the resolution of intricate challenges, and provide support in various fields such as writing, design, and even space exploration. Furthermore, the model's enhanced ability to interact with humans paves the way for practical uses, ensuring that it is both more accessible and dependable for businesses and developers alike. By continually evolving, GPT-4.5 sets a new standard for how AI can assist in diverse applications and industries.

We have developed a model known as ChatGPT that engages users in dialogue. This conversational structure allows ChatGPT to effectively respond to follow-up inquiries, acknowledge errors, question faulty assumptions, and decline unsuitable requests. InstructGPT, a related model, focuses on adhering to specific instructions given in prompts and delivering comprehensive answers. ChatGPT Plus is a premium subscription service designed for ChatGPT, the conversational AI. The subscription costs $20 per month, offering subscribers several advantages: - Uninterrupted access to ChatGPT, even during high-demand periods - Accelerated response times - Access to GPT-4 - Integration of ChatGPT plugins - Capability for web-browsing with ChatGPT - Priority for new features and enhancements Currently, ChatGPT Plus is accessible to users in the United States, with plans to gradually invite individuals from our waitlist in the upcoming weeks. We also aim to broaden access and support to more countries and regions in the near future, ensuring that a wider audience can experience its benefits.

OpenAI's o1-pro represents a more advanced iteration of the initial o1 model, specifically crafted to address intricate and challenging tasks with increased dependability. This upgraded model showcases considerable enhancements compared to the earlier o1 preview, boasting a remarkable 34% decline in significant errors while also demonstrating a 50% increase in processing speed. It stands out in disciplines such as mathematics, physics, and programming, where it delivers thorough and precise solutions. Furthermore, the o1-pro is capable of managing multimodal inputs, such as text and images, and excels in complex reasoning tasks that necessitate profound analytical skills. Available through a ChatGPT Pro subscription, this model not only provides unlimited access but also offers improved functionalities for users seeking sophisticated AI support. In this way, users can leverage its advanced capabilities to solve a wider range of problems efficiently and effectively.

The latest advancement, GPT-4 with vision (GPT-4V), allows users to direct GPT-4 to examine image inputs that they provide, marking a significant step in expanding its functionalities. Many in the field see the integration of various modalities, including images, into large language models (LLMs) as a crucial area for progress in artificial intelligence. By introducing multimodal capabilities, these LLMs can enhance the effectiveness of traditional language systems, creating innovative interfaces and experiences while tackling a broader range of tasks. This system card focuses on assessing the safety features of GPT-4V, building upon the foundational safety measures established for GPT-4. Here, we delve more comprehensively into the evaluations, preparations, and strategies aimed at ensuring safety specifically concerning image inputs, thereby reinforcing our commitment to responsible AI development. Such efforts not only safeguard users but also promote the responsible deployment of AI innovations.

OpenAI's o1 series introduces a new generation of AI models specifically developed to enhance reasoning skills. Among these models are o1-preview and o1-mini, which utilize an innovative reinforcement learning technique that encourages them to dedicate more time to "thinking" through various problems before delivering solutions. This method enables the o1 models to perform exceptionally well in intricate problem-solving scenarios, particularly in fields such as coding, mathematics, and science, and they have shown to surpass earlier models like GPT-4o in specific benchmarks. The o1 series is designed to address challenges that necessitate more profound cognitive processes, representing a pivotal advancement toward AI systems capable of reasoning in a manner similar to humans. As it currently stands, the series is still undergoing enhancements and assessments, reflecting OpenAI's commitment to refining these technologies further. The continuous development of the o1 models highlights the potential for AI to evolve and meet more complex demands in the future.

The o1-mini from OpenAI is an innovative and budget-friendly AI model that specializes in improved reasoning capabilities, especially in STEM areas such as mathematics and programming. As a member of the o1 series, it aims to tackle intricate challenges by allocating more time to analyze and contemplate solutions. Although it is smaller in size and costs 80% less than its counterpart, the o1-preview, the o1-mini remains highly effective in both coding assignments and mathematical reasoning. This makes it an appealing choice for developers and businesses that seek efficient and reliable AI solutions. Furthermore, its affordability does not compromise its performance, allowing a wider range of users to benefit from advanced AI technologies.

As artificial intelligence continues to evolve, its ability to tackle more intricate and vital challenges will expand, necessitating a greater computational power to support these advancements. The ChatGPT Pro subscription, priced at $200 per month, offers extensive access to OpenAI's premier models and tools, including unrestricted use of the advanced OpenAI o1 model, o1-mini, GPT-4o, and Advanced Voice features. This subscription also grants users access to the o1 pro mode, an enhanced version of o1 that utilizes increased computational resources to deliver superior answers to more challenging inquiries. Looking ahead, we anticipate the introduction of even more robust, resource-demanding productivity tools within this subscription plan. With ChatGPT Pro, users benefit from a variant of our most sophisticated model capable of extended reasoning, yielding the most dependable responses. External expert evaluations have shown that o1 pro mode consistently generates more accurate and thorough responses, particularly excelling in fields such as data science, programming, and legal case analysis, thereby solidifying its value for professional use. In addition, the commitment to ongoing improvements ensures that subscribers will receive continual updates that enhance their experience and capabilities.

OpenAI's advanced research tool utilizes artificial intelligence to independently carry out intricate, multi-step research tasks across a range of fields, including science, programming, and mathematics. By processing user inputs—such as questions, textual documents, images, PDFs, or spreadsheets—the tool creates a detailed research strategy, collects pertinent information, and provides thorough answers in just a few minutes. Additionally, it offers summaries of the research process with citations, enabling users to verify the sources of the information. Although this tool greatly enhances research efficiency, it can sometimes yield errors or have difficulty distinguishing between credible sources and false information. Currently, it is accessible to ChatGPT Pro users, marking a significant advancement in AI-assisted knowledge exploration, and further enhancements for accuracy and response speed are in the pipeline. This ongoing development reflects a commitment to refining the tool's capabilities and ensuring users receive the most reliable information.

InstructGPT is a publicly available framework that enables the training of language models capable of producing natural language instructions based on visual stimuli. By leveraging a generative pre-trained transformer (GPT) model alongside the advanced object detection capabilities of Mask R-CNN, it identifies objects within images and formulates coherent natural language descriptions. This framework is tailored for versatility across various sectors, including robotics, gaming, and education; for instance, it can guide robots in executing intricate tasks through spoken commands or support students by offering detailed narratives of events or procedures. Furthermore, InstructGPT's adaptability allows it to bridge the gap between visual understanding and linguistic expression, enhancing interaction in numerous applications.

Utilize sophisticated coding and language models across a diverse range of applications. Harness the power of expansive generative AI models that possess an intricate grasp of both language and code, paving the way for enhanced reasoning and comprehension skills essential for developing innovative applications. These advanced models can be applied to multiple scenarios, including writing support, automatic code creation, and data reasoning. Moreover, ensure responsible AI practices by implementing measures to detect and mitigate potential misuse, all while benefiting from enterprise-level security features offered by Azure. With access to generative models pretrained on vast datasets comprising trillions of words, you can explore new possibilities in language processing, code analysis, reasoning, inferencing, and comprehension. Further personalize these generative models by using labeled datasets tailored to your unique needs through an easy-to-use REST API. Additionally, you can optimize your model's performance by fine-tuning hyperparameters for improved output accuracy. The few-shot learning functionality allows you to provide sample inputs to the API, resulting in more pertinent and context-aware outcomes. This flexibility enhances your ability to meet specific application demands effectively.

Discover JinaChat, an innovative LLM service designed specifically for professional users. This platform heralds a transformative phase in multimodal chat functionality, seamlessly integrating not just text but also images and additional media. Enjoy our complimentary short interactions, limited to 100 tokens, which provide a taste of what we offer. With our robust API, developers can utilize extensive conversation histories, significantly reducing the need for repetitive prompts and facilitating the creation of intricate applications. Step into the future of LLM solutions with JinaChat, where interactions are rich, memory-driven, and cost-effective. Many modern LLM applications rely heavily on lengthy prompts or vast memory, which can lead to elevated costs when similar requests are repeatedly sent to the server with only slight modifications. However, JinaChat's API effectively addresses this issue by allowing you to continue previous conversations without the necessity of resending the entire message. This innovation not only streamlines communication but also leads to significant savings, making it an ideal resource for crafting sophisticated applications such as AutoGPT. By simplifying the process, JinaChat empowers developers to focus on creativity and functionality without the burden of excessive costs.

Chatterbox, an open-source voice cloning AI model created by Resemble AI and distributed under the MIT license, allows users to perform zero-shot voice cloning with just a five-second sample of reference audio, thereby removing the requirement for extensive training. This innovative model provides expressive speech synthesis that features emotion control, enabling users to modify the expressiveness of the voice from a dull tone to a highly dramatic one using a single adjustable parameter. Additionally, Chatterbox allows for accent modulation and offers text-based control, which guarantees a high-quality and human-like text-to-speech output. With its faster-than-real-time inference capabilities, it is well-suited for applications requiring immediate responses, such as voice assistants and interactive media experiences. Designed with developers in mind, the model supports easy installation via pip and comes with thorough documentation. Furthermore, Chatterbox integrates built-in watermarking through Resemble AI’s PerTh (Perceptual Threshold) Watermarker, which discreetly embeds data to safeguard the authenticity of generated audio. This combination of features makes Chatterbox a powerful tool for creating versatile and realistic voice applications. The model's emphasis on user control and quality further enhances its appeal in various creative and professional fields.

OpenAI’s GPT-5 mini is a cost-efficient, faster version of the flagship GPT-5 model, designed to handle well-defined tasks and precise inputs with high reasoning capabilities. Supporting text and image inputs, GPT-5 mini can process and generate large amounts of content thanks to its extensive 400,000-token context window and a maximum output of 128,000 tokens. This model is optimized for speed, making it ideal for developers and businesses needing quick turnaround times on natural language processing tasks while maintaining accuracy. The pricing model offers significant savings, charging $0.25 per million input tokens and $2 per million output tokens, compared to the higher costs of the full GPT-5. It supports many advanced API features such as streaming responses, function calling, and fine-tuning, while excluding audio input and image generation capabilities. GPT-5 mini is compatible with a broad range of API endpoints including chat completions, real-time responses, and embeddings, making it highly flexible. Rate limits vary by usage tier, supporting from hundreds to tens of thousands of requests per minute, ensuring reliability for different scale needs. This model strikes a balance between performance and cost, suitable for applications requiring fast, high-quality AI interaction without extensive resource use.

OpenAI’s GPT-5 nano is the most cost-effective and rapid variant of the GPT-5 series, tailored for tasks like summarization, classification, and other well-defined language problems. Supporting both text and image inputs, GPT-5 nano can handle extensive context lengths of up to 400,000 tokens and generate detailed outputs of up to 128,000 tokens. Its emphasis on speed makes it ideal for applications that require quick, reliable AI responses without the resource demands of larger models. With highly affordable pricing — just $0.05 per million input tokens and $0.40 per million output tokens — GPT-5 nano is accessible to a wide range of developers and businesses. The model supports key API functionalities including streaming responses, function calling, structured output, and fine-tuning capabilities. While it does not support web search or audio input, it efficiently handles code interpretation, image generation, and file search tasks. Rate limits scale with usage tiers to ensure reliable access across small to enterprise deployments. GPT-5 nano offers an excellent balance of speed, affordability, and capability for lightweight AI applications.

StarCoder and StarCoderBase represent advanced Large Language Models specifically designed for code, developed using openly licensed data from GitHub, which encompasses over 80 programming languages, Git commits, GitHub issues, and Jupyter notebooks. In a manner akin to LLaMA, we constructed a model with approximately 15 billion parameters trained on a staggering 1 trillion tokens. Furthermore, we tailored the StarCoderBase model with 35 billion Python tokens, leading to the creation of what we now refer to as StarCoder. Our evaluations indicated that StarCoderBase surpasses other existing open Code LLMs when tested against popular programming benchmarks and performs on par with or even exceeds proprietary models like code-cushman-001 from OpenAI, the original Codex model that fueled early iterations of GitHub Copilot. With an impressive context length exceeding 8,000 tokens, the StarCoder models possess the capability to handle more information than any other open LLM, thus paving the way for a variety of innovative applications. This versatility is highlighted by our ability to prompt the StarCoder models through a sequence of dialogues, effectively transforming them into dynamic technical assistants that can provide support in diverse programming tasks.

Experience unparalleled security and privacy along with the most advanced iteration of ChatGPT to date. 1. Customer data and prompts are excluded from model training processes. 2. Data is securely encrypted both at rest using AES-256 and during transit with TLS 1.2 or higher. 3. Compliance with SOC 2 standards is ensured. 4. A dedicated admin console simplifies bulk management of members. 5. Features like SSO and Domain Verification enhance security. 6. An analytics dashboard provides insights into usage patterns. 7. Users enjoy unlimited, high-speed access to GPT-4 alongside Advanced Data Analysis capabilities*. 8. With 32k token context windows, you can input four times longer texts and retain memory. 9. Easily shareable chat templates facilitate collaboration within your organization. 10. This comprehensive suite of features ensures that your team operates seamlessly and securely.

OpenAI’s GPT-5 represents the cutting edge in AI language models, designed to be smarter, faster, and more reliable across diverse applications such as legal analysis, scientific research, and financial modeling. This flagship model incorporates built-in “thinking” to deliver accurate, professional, and nuanced responses that help users solve complex problems. With a massive context window and high token output limits, GPT-5 supports extensive conversations and intricate coding tasks with minimal prompting. It introduces advanced features like the verbosity parameter, enabling users to control the detail and tone of generated content. GPT-5 also integrates seamlessly with enterprise data sources like Google Drive and SharePoint, enhancing response relevance with company-specific knowledge while ensuring data privacy. The model’s improved personality and steerability make it adaptable for a wide range of business needs. Available in ChatGPT and API platforms, GPT-5 brings expert intelligence to every user, from casual individuals to large organizations. Its release marks a major step forward in AI-assisted productivity and collaboration.

OpenAI o3 is a cutting-edge AI model that aims to improve reasoning abilities by simplifying complex tasks into smaller, more digestible components. It shows remarkable advancements compared to earlier AI versions, particularly in areas such as coding, competitive programming, and achieving top results in math and science assessments. Accessible for general use, OpenAI o3 facilitates advanced AI-enhanced problem-solving and decision-making processes. The model employs deliberative alignment strategies to guarantee that its outputs adhere to recognized safety and ethical standards, positioning it as an invaluable resource for developers, researchers, and businesses in pursuit of innovative AI solutions. With its robust capabilities, OpenAI o3 is set to redefine the boundaries of artificial intelligence applications across various fields.

The Image Generation API from OpenAI, driven by the gpt-image-1 model, allows developers and businesses to seamlessly incorporate top-tier image creation capabilities into their applications and platforms. This model showcases a remarkable adaptability, enabling it to produce visuals in a variety of styles while adhering to specific instructions, utilizing extensive knowledge, and accurately depicting text, thus opening the door to numerous practical uses across various sectors. Numerous leading companies and emerging startups in fields such as creative software, e-commerce, education, enterprise applications, and gaming are already leveraging image generation in their offerings. It empowers creators with the freedom and versatility to explore diverse aesthetic styles. Users can easily generate and modify images based on straightforward prompts, fine-tuning styles, adding or removing elements, expanding backgrounds, and much more, which enhances the creative process. This capability not only fosters innovation but also encourages collaboration among teams striving for visual excellence.