GPT Image 2.6 Sunburst is OpenAI's image generation and editing model optimized for detail: dense compositions, text-heavy layouts, and edits that keep details consistent from one edit to the next at medium or high quality, generating about 50% faster than GPT Image 2.5. It takes text and image inputs and produces imag…
GPT Image 2.6 Flare is OpenAI's image generation and editing model optimized for speed: fast iteration and interactive text-to-image and image-to-image workflows, generating about 50% faster than GPT Image 2.5. It takes text and image inputs and produces images, with quality tiers from low to max, transparent backgroun…
TTS-1 HD is OpenAI's text-to-speech model optimized for high quality audio, converting text to natural sounding spoken audio.
TTS-1 is OpenAI's text-to-speech model optimized for real-time, low-latency use, converting text to natural sounding spoken audio.
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compare…
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks t…
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software enginee…
OpenAI's precision-focused image model, built for detailed visual work, with extra fidelity on intricate detail in exchange for longer generation times.
OpenAI's default image model for most applications. Fast, high-quality generation with natural lighting, rich textures, and support for complex layouts including transparent backgrounds.
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
GPT Transcribe is a high-accuracy speech-to-text model from OpenAI. It is suited for recorded audio, streamed file transcription, and committed Realtime turns, with free-form context, keyword hints, and multiple language hints for specialized terms and multilingual speech.
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.
A cost-efficient variant of GPT Image 1 for high-quality image generation at reduced latency and cost via OpenAI's dedicated Images API.
GPT Chat Latest points to OpenAI's stable API alias chat-latest that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates in the future, they are routed behind this slug automatically.
GPT-4o Mini Transcribe is OpenAI's smaller, cost-efficient speech-to-text model built on GPT-4o Mini audio capabilities. It's priced per token (input and output), making it suitable for high-volume transcription workflows that benefit from token-level billing transparency at a lower cost point.
Whisper is OpenAI's open-source automatic speech recognition model, available via API as whisper-1. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats including mp3, mp4, wav, and webm. Priced per minute of audio duration, billed to the nearest second.
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, and is designed for long-horizon problem solving, agentic coding, and precise execution acro…
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reas…
GPT Image 2 is OpenAI’s model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.
GPT-5.4 Image 2 combines OpenAI's GPT-5.4 model with leading image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to smoothly move between reasoning, coding, and visual generation within the same interaction.
GPT-5.4 nano is the lightest and most cost-efficient model in the GPT-5.4 family, built for speed-sensitive and high-volume workloads. It supports both text and image inputs and is designed for low-latency tasks such as classification, data extraction, ranking, and sub-agent execution. The model is focused on responsi…
GPT-5.4 mini brings the main capabilities of GPT-5.4 to a faster and more efficient model optimized for high-volume workloads. It supports both text and image inputs, offering strong performance in reasoning, coding, and tool use while lowering latency and cost for large-scale deployment. The model is built for produc…
GPT-5.4 Pro is OpenAI’s most capable model, extending GPT-5.4’s unified architecture with stronger reasoning for complex, high-stakes tasks. It includes a 1M+ token context window (922K input, 128K output) and supports both text and image inputs. Tuned for step-by-step reasoning, instruction following, and high accurac…
GPT-5.4 is OpenAI’s frontier model that merges the Codex and GPT families into one system. It has a 1M+ token context window (922K input, 128K output) and accepts text and image input, for high-context reasoning, coding, and multimodal analysis in one workflow. It improves coding, document understanding, tool use, and…
GPT-5.3-Codex is OpenAI’s agentic coding model. It pairs the software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge of GPT-5.2. It scored at the top of SWE-Bench Pro and does well on Terminal-Bench 2.0 and OSWorld-Verified, which reflects better multi-language coding, te…
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced at $32 per million input tokens and $64 per million output tokens.
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million tokens and output is priced at $2.40 per million tokens.
GPT-5.2-Codex is an enhanced version of GPT-5.1-Codex, optimized for software engineering and coding tasks in interactive sessions and longer independent runs. It builds projects, develops features, debugs, refactors at large scale, and reviews code. Compared to its predecessor, it follows developer instructions more c…
GPT-Image-1.5 is OpenAI’s flagship image generation and editing model, designed for precise, natural, and fast creation. It follows user instructions down to fine details and preserves lighting, composition, and facial likeness across edits and generations. It handles addition, removal, stylization, combination, and ad…
GPT-5.2 Pro is a model from OpenAI with major upgrades in agentic coding and long-context work compared to GPT-5 Pro. It is optimized for complex tasks that need step-by-step reasoning, precise instruction following, and accuracy in critical scenarios. It supports test-time routing and understands user cues such as ask…
GPT-5.2 is the newest frontier-level model in the GPT-5 line, providing enhanced agentic abilities and better long-context performance than GPT-5.1. It employs adaptive reasoning to dynamically distribute computational resources, enabling quick responses to simple requests and deeper analysis for complex challenges. De…
GPT-5.1-Codex-Max is OpenAI’s newest agentic coding model, created for extended, high-context software development tasks. Built on an enhanced 5.1 reasoning stack, it’s been trained with agentic workflows covering software engineering, mathematics, and research. GPT-5.1-Codex-Max offers faster performance, better reas…
GPT-5.1 is a top model in OpenAI’s GPT-5 series, with better general reasoning, better instruction following, and a more natural conversational tone than GPT-5. Adaptive reasoning adjusts its computational effort: it responds quickly to simple queries and works longer on complex tasks. Explanations are clearer and use…
GPT-5.1-Codex is a version of GPT-5.1 optimized for software engineering and coding workflows, both in interactive sessions and in long, independent runs on complex tasks. It supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5.1, it is mor…
GPT-5.1-Codex-Mini is a more compact and faster variant of GPT-5.1-Codex.
GPT-5 Image combines OpenAI's GPT-5 model with leading image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's better instruction following, text rendering, and detailed image editing.
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understa…
Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3. In other words, it's the exact same model, except that the number of decoding layers have reduced from 32 to 4. As a result, the model is way faster, at the expense of a minor quality degradation.
GPT-5 is a large language model from OpenAI for high-stakes applications that need step-by-step reasoning, precise instruction following, and reliable code generation. It improves factual accuracy and understanding of user intent, and reduces hallucination and sycophancy. It supports test-time routing and user-specifie…
A compact variant of GPT-5, designed for efficient handling of lighter-weight reasoning and conversational tasks. GPT-5 Mini retains the instruction-following and safety features of its larger counterpart, but with reduced latency and cost. It is the direct successor to OpenAI’s o4-mini model, making it ideal for scala…
The smallest and fastest member of the GPT-5 family, optimized for developer tools, rapid user interactions, and ultra-low latency environments. While it offers limited reasoning depth compared to larger models, GPT-5-Nano preserves essential instruction-following and safety mechanisms. It is the successor to GPT-4.1-n…
An open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI, designed for high-reasoning, agentic, and general-purpose production use cases. Activates 5.1B parameters per forward pass and is optimized for single H100 GPU deployment with native MXFP4 quantization. Supports configurable reasoning d…
OpenAI’s 21B-parameter open-weight Mixture-of-Experts (MoE) model, released under the Apache 2.0 license. Features 3.6B active parameters per forward pass, optimized for low-latency inference and deployability on consumer or single-GPU hardware. Trained in OpenAI’s Harmony response format, it supports reasoning level c…
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers.
Omni-Moderation is OpenAI’s newest multimodal content moderation model, available through the Moderation API. It is designed to identify potentially harmful content in both text and images, offering improved accuracy and granular control, especially in non-English languages.
A speech-to-text model using GPT-4o for transcribing audio. It offers improved word error rate, better language recognition, and higher accuracy compared to the original Whisper models. Use it for more precise transcripts.
Text-Embedding-3-Small is OpenAI’s efficient, compact embedding model, designed to convert text into numerical representations for semantic tasks such as search, clustering, and recommendations. It offers improved performance and cost-effectiveness compared to previous models, with low latency and storage requirements.…
Text-Embedding-3-Large is OpenAI’s most capable embedding model, supporting both English and non-English text tasks. It produces high-dimensional embeddings (up to 3072 dimensions) for advanced semantic similarity, search, and clustering, and allows flexible trade-offs between performance and resource usage.
Whisper Large v3 is OpenAI’s open-source model for automatic speech recognition (ASR) and speech translation. Trained on over 5 million hours of labeled data, it demonstrates strong generalization across datasets and domains, excelling in zero-shot transcription and translation tasks. It supports 99+ languages and acce…
A text-to-speech model from OpenAI built on GPT-4o mini, a fast language model. Use it to convert text into natural-sounding spoken audio.
OpenAI’s o3 is a general-purpose reasoning model for math, science, coding, and visual reasoning. It is good at technical writing and following instructions, and is designed for multi-step problem solving across text, code, and images.
A flagship large language model from OpenAI, optimized for advanced instruction following, real-world software engineering, and long-context reasoning. Supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 in coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal…
A mid-sized GPT-4.1 model delivering performance competitive with GPT-4o at substantially lower latency and cost. Retains a 1 million token context window and demonstrates strong coding ability and vision understanding, making it suitable for interactive applications with tight performance constraints.
The November 2024 release of GPT-4o, featuring enhanced creative writing, more natural and engaging responses, and improved file handling. Maintains the intelligence of GPT-4 Turbo while being twice as fast and 50% more cost-effective, with better support for non-English languages and visual tasks.
The August 2024 version of GPT-4o, offering improved structured output capabilities, including support for JSON schema in responses. Maintains high intelligence and efficiency, with enhanced non-English and visual performance.
OpenAI’s most advanced small model, GPT-4o mini, supports both text and image inputs with text outputs. It is highly cost-effective, achieving SOTA intelligence and outperforming larger models on key benchmarks, making it ideal for scalable, interactive applications.
GPT-4o (“o” for “omni”) is OpenAI’s latest multimodal model, supporting both text and image inputs with text outputs. Delivers improved performance in non-English languages and visual understanding, while being faster and more cost-effective than previous models.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
