OpenAI Models

GPT-4.1 nano is an artificial intelligence model provided by OpenAI. gpt-4.1-nano: Features a larger context window—supporting up to 1 million context tokens and capable of better utilizing that context through improved long-context understanding. Has an updated knowledge cutoff time of June 2024. This model supports a maximum context length of 1,047,576 tokens.

Version of GPT-5.4 that produces smarter and more precise responses.

OpenAI's most capable image generation model, featuring near-perfect text rendering across multiple languages, up to 4K resolution, and reasoning-powered Thinking Mode. Built for production workflows that demand accuracy, speed, and on-brand visual output.

OpenAI's smartest and most intuitive flagship model, designed for complex coding, agentic workflows, computer use, data analysis, and in-depth research. Delivers frontier-level intelligence with the same low latency as GPT-5.4, while completing tasks with greater token efficiency. The go-to model for demanding professional and enterprise workloads.

OpenAI's most capable model, engineered for the hardest tasks and long-running agentic workflows. GPT-5.5 Pro excels at complex coding, computer use, deep research, data analysis, and scientific reasoning — delivering frontier-level intelligence at GPT-5.4 latency with greater token efficiency. Ideal for enterprise and professional use cases demanding the highest standard of accuracy and autonomous task execution.

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Sora 2 Pro is our most advanced and powerful media generation model, capable of generating videos with synchronized Audio. It can create detailed, dynamic video clips from natural language or images.

gpt-5.2-pro is the highest-capability, production-oriented member of OpenAI’s GPT-5.2 family, exposed through the Responses API for workloads that demand maximal fidelity, multi-step reasoning, extensive tool use and the largest context/throughput budgets OpenAI offers.

GPT-5.4 nano is designed for tasks where speed and cost matter most like classification, data extraction, ranking, and sub-agents.

GPT-5.4 mini brings the strengths of GPT-5.4 to a faster, more efficient model designed for high-volume workloads.

GPT-5.4 is the frontier model for complex professional work. Reasoning.effort supports: none (default), low, medium, high and xhigh.

GPT-5.3 Instant model used in ChatGPT

Super powerful video generation model, with sound effects, supports chat format.

The best voice model for audio in, audio out with Chat Completions.

The best voice model for audio in, audio out.

GPT-5.3-Codex is optimized for agentic coding tasks in Codex or similar environments. GPT-5.3-Codex supports low, medium, high, and xhigh reasoning effort settings.

GPT-5.2-Codex is an upgraded version of GPT-5.2 optimized for agentic coding tasks in Codex or similar environments. GPT-5.2-Codex supports low, medium, high, and xhigh reasoning effort settings.

GPT-Image-1.5 is OpenAI’s image model in the GPT Image family . It is a natively multimodal GPT model designed to generate images from text prompts and to perform high-fidelity edits of input images while following user instructions closely.

gpt-5.2-chat-latest is the Chat-optimized snapshot of OpenAI’s GPT-5.2 family (branded in ChatGPT as GPT-5.2 Instant). It is the model for interactive/chat use cases that need a blend of speed, long-context handling, multimodal inputs and reliable conversational behaviour.

GPT-5.1-Codex-Max is OpenAI’s purpose-built agentic coding model in the GPT-5.1 family, optimized to execute long-running software engineering workflows (refactors, multi-hour agent loops, terminal automation, test runs and code review) with higher reliability and token efficiency than its predecessors.

GPT-5.1-Codex is a high-performance large language model focused on code generation and understanding, with enhanced capabilities for complex programming tasks, code reasoning, and production-level applications.

GPT-5.1 Chat is an instruction-tuned conversational language model for general-purpose chat, reasoning, and writing. It supports multi-turn dialogue, summarization, drafting, knowledge-base QA, and lightweight code assistance for in-app assistants, support automation, and workflow copilots. Technical highlights include chat-optimized alignment, controllable and structured outputs, and integration paths for tool invocation and retrieval workflows when available.

GPT-5.1 is a general-purpose instruction-tuned language model focused on text generation and reasoning across product workflows. It supports multi-turn dialogue, structured output formatting, and code-oriented tasks such as drafting, refactoring, and explanation. Typical uses include chat assistants, retrieval-augmented QA, data transformation, and agent-style automation with tools or APIs when supported. Technical highlights include text-centric modality, instruction following, JSON-style outputs, and compatibility with function calling in common orchestration frameworks.

Cost-optimized version of GPT Image 1. It is a native Multimodal language model that accepts both text and image input and generates image output.

GPT-5-Codex is a high-performance large language model focused on code generation and understanding, with enhanced capabilities for complex programming tasks, code reasoning, and production-level applications.

GPT-5 is OpenAI's most powerful coding model to date. It shows significant improvements in complex front-end generation and debugging large codebases. It can transform ideas into reality with intuitive and aesthetically pleasing results, creating beautiful and responsive websites, applications, and games with a keen sense of aesthetics, all from a single prompt. Early testers have also noted its design choices, with a deeper understanding of elements like spacing, typography, and white space.

GPT-5 Nano is an artificial intelligence model provided by OpenAI.

GPT-5 mini is OpenAI’s cost- and latency-optimized member of the GPT-5 family, intended to deliver much of GPT-5’s multimodal and instruction-following strengths at substantially lower cost for large-scale production use. It targets environments where throughput, predictable per-token pricing, and fast responses are the primary constraints while still providing strong general-purpose capabilities.

GPT-5 Chat (latest) is an artificial intelligence model provided by OpenAI.

coming soon

gpt-4o-image generate images as output, optionally using images as input

GPT-5.2 is a multi-flavored model suite (Instant, Thinking, Pro) engineered for better long-context understanding, stronger coding and tool use, and materially higher performance on professional “knowledge-work” benchmarks.

OpenAI o3‑pro is a “pro” variant of the o3 reasoning model engineered to think longer and deliver the most dependable responses by employing private chain‑of‑thought reinforcement learning and setting new state‑of‑the‑art benchmarks across domains like science, programming, and business—while autonomously integrating tools such as web search, file analysis, Python execution, and visual reasoning within API.

An economical version of the real-time GPT—capable of responding to Audio and text input in real-time via WebRTC, WebSocket, or SIP connections.

OpenAI Text-to-Speech

Speech to text, creating translations

GPT-4o mini TTS is a neural text-to-speech model designed for natural, low-latency voice generation in user-facing applications. It converts text to natural-sounding speech with selectable voices, multi-format output, and streaming synthesis for responsive experiences. Typical uses include voice assistants, IVR and contact flows, product read-aloud, and media narration. Technical highlights include API-based streaming and export to common audio formats such as MP3 and WAV.

GPT-4o Transcribe is an audio-to-text model for multilingual, low-latency speech recognition. It supports real-time streaming and batch transcription from common audio formats with punctuation and sentence segmentation. Typical uses include live captions, voice assistant input, meeting notes, and media or call recording transcription. Technical highlights include audio modality support, long-form processing, and APIs suited for interactive and server-side workflows.

GPT-4o mini Audio Preview is a compact multimodal model for building conversational audio applications. It supports speech input and output alongside text, enabling speech recognition, speech synthesis, and mixed text-audio dialogs with tool/function calling for structured actions. Typical uses include voice assistants, streaming transcription with summarization, IVR and call-bot workflows, and audio-enabled in-app helpers. Technical highlights include audio I/O, streaming responses, instruction following, and integration via chat and tools APIs.

GPT-4o mini Realtime Preview is a real-time multimodal model for interactive voice and visual experiences. It handles speech, text, and images with streaming input and output, plus tool/function calling for grounded actions. Typical uses include voice assistants, live call handling, real-time captioning, and visual question answering over camera or screen content. Technical highlights include bidirectional audio, vision understanding, streaming responses, and structured outputs via functions.

GPT-4o mini Audio is a multimodal model for speech and text interactions. It performs speech recognition, translation, and text-to-speech, follows instructions, and can call tools for structured actions with streaming responses. Typical uses include real-time voice assistants, live captioning and translation, call summarization, and voice-controlled applications. Technical highlights include audio input and output, streaming responses, function calling, and structured JSON output.

The Realtime API allows developers to build low-latency, Multimodal experiences, including speech-to-speech functionality. Text and Audio processed by the Realtime API are priced separately. This model supports a maximum context length of 128,000 tokens.

This model supports a maximum context length of 128,000 tokens.

An Ada-based text embedding model optimized for various NLP tasks.

A small text embedding model for efficient processing.

A large text embedding model for a wide range of natural language processing tasks.

An advanced AI model for generating images from text descriptions.

New version of DALL-E for image generation.

O4-mini is an artificial intelligence model provided by OpenAI.

O3-mini is an artificial intelligence model provided by OpenAI.

O3 is an artificial intelligence model provided by OpenAI.

O1-pro is an artificial intelligence model provided by OpenAI.

O1-mini is an artificial intelligence model provided by OpenAI.

O1 is an artificial intelligence model provided by OpenAI.

gpt-oss-20b is an artificial intelligence model provided by cloudflare-workers-ai.

gpt-oss-120b is an artificial intelligence model provided by cloudflare-workers-ai.

GPT-4o mini is an artificial intelligence model provided by OpenAI.

GPT-4o is OpenAI's most advanced Multimodal model, faster and cheaper than GPT-4 Turbo, with stronger visual capabilities. This model has a 128K context and a knowledge cutoff of October 2023. Models in the 1106 series and above support tool_calls and function_call. This model supports a maximum context length of 128,000 tokens.

GPT-4.1 mini is an artificial intelligence model provided by OpenAI. gpt-4.1-mini: A significant leap in small model performance, even beating GPT-4o in many benchmarks. It meets or exceeds GPT-4o in intelligence evaluation while reducing latency by nearly half and cost by 83%. This model supports a maximum context length of 1,047,576 tokens.

GPT-4.1 is an artificial intelligence model provided by OpenAI. gpt-4.1-nano: Features a larger context window—supporting up to 1 million context tokens and capable of better utilizing that context through improved long-context understanding. Has an updated knowledge cutoff time of June 2024. This model supports a maximum context length of 1,047,576 tokens.

GPT-3.5 Turbo 0125 is an artificial intelligence model provided by OpenAI. A pure official high-speed GPT-3.5 series, supporting tools_call. This model supports a maximum context length of 4096 tokens.

coming soon