Changelog | OpenAI API

Updated the gpt-5.3-chat-latest slug to point to the latest model currently used in ChatGPT.

Updated our image encoder to fix a small bug with input_image inputs in GPT-5.4. Some image understanding use cases may now see improved quality. No action is required.

Expanded the Sora API with reusable character references, longer generations up to 20 seconds, 1080p output for sora-2-pro, video extensions, and Batch API support for POST /v1/videos. 1080p generations on sora-2-pro are billed at $0.70 per second. Learn more here.

Added POST /v1/videos/edits for editing existing videos. This will replace POST /v1/videos/{video_id}/remix, which will be deprecated in 6 months. Learn more here.

Released gpt-5.3-chat-latest to the Chat Completions and Responses API. This model points to the GPT-5.3 Instant snapshot currently used in ChatGPT. Read more here.

Expanded input_file support to accept more document, presentation, spreadsheet, code, and text file types. Learn more here.

Released phase to the Responses API. It labels an assistant message as intermediate commentary (commentary) or the final answer (final_answer). Read more here.

Released gpt-5.3-codex to the Responses API. Read more here.

Launched WebSocket mode for the Responses API. Learn more here.

Batch API is now supported for GPT Image models: gpt-image-1.5, chatgpt-image-latest, gpt-image-1, and gpt-image-1-mini.

Updated the gpt-5.2-chat-latest slug to point to the latest model currently used in ChatGPT.

Launched support for Skills in the Responses API. We support Skills across both local execution and hosted container-based execution.

Launched a new Hosted Shell tool, as well as support for networking in containers.

Added support for application/json requests on /v1/images/edits for GPT image models. JSON requests use images (and optional mask) with image_url or file_id references instead of multipart uploads.

We have optimized our inference stack for API customers and GPT-5.2 and GPT-5.2-Codex now run ~40% faster. Model and model weights are unchanged.

Announced Open Responses: an open-source spec for building multi-provider, interoperable LLM interfaces built on top of the original OpenAI Responses API.

Released gpt-5.2-codex to the Responses API. GPT-5.2-Codex is a version of GPT-5.2 optimized for agentic coding tasks in Codex or similar environments. Read more here.

Added dedicated SIP IP ranges for Realtime API. sip.api.openai.com does GeoIP routing, and will direct SIP traffic to the closest region. Learn more.

Updated the gpt-realtime-mini and gpt-audio-mini slugs to point to the 2025-12-15 snapshots. If you need the previous model snapshots, use gpt-realtime-mini-2025-10-06 and gpt-audio-mini-2025-10-06.

Updated the sora-2 slug to point to sora-2-2025-12-08. If you need the previous model snapshot, use sora-2-2025-10-06.

Updated the gpt-4o-mini-tts and gpt-4o-mini-transcribe slugs to point to the 2025-12-15 snapshots. If you need the previous model snapshots, use gpt-4o-mini-tts-2025-03-20 and gpt-4o-mini-transcribe-2025-03-20. We currently recomend using gpt-4o-mini-transcribe over gpt-4o-transcribe for the best results.

Fixed an issue where gpt-image-1.5 and chatgpt-image-latest were incorrectly using high fidelity for image edits through /v1/images/edits, even when fidelity was explicitly set to low (the default).

Added gpt-image-1.5 and chatgpt-image-latest to the Responses API image generation tool.

Released client-side compaction. For long-running conversations with the Responses API, you can use the /responses/compact endpoint to shrink the context you send with each turn.

Released gpt-5.1-codex-max to the Responses API. GPT-5.1-Codex is our most intelligent coding model optimized for long-horizon, agentic coding tasks. Read more here.

Added support for DTMF key presses in the Realtime API. You can now receive DTMF events while using a Realtime sideband connection. See docs here for more information.

Released gpt-5.1-codex and gpt-5.1-codex-mini to the Responses API. GPT-5.1-Codex is a version of GPT-5.1 optimized for agentic coding tasks in Codex or similar environments. Read more here.

Released extended prompt cache retention. Extended prompt cache retention keeps cached prefixes active for longer, up to a maximum of 24 hours. Extended Prompt Caching works by offloading the key/value tensors to GPU-local storage when memory is full, significantly increasing the storage capacity available for caching.

gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are safety reasoning models built-upon gpt-oss. Read more here.

Released Enterprise Key Management (EKM). Enterprise Key Management (EKM) allows you to encrypt your customer content at OpenAI using keys managed by your own external Key Management System (KMS).

Released IP allowlist. IP allowlisting restricts API access to only the IP addresses or ranges you specify.

Launched special-purpose model gpt-5-codex, built and optimized for use with the Codex CLI.

Added support for connectors to the Responses API. Connectors are OpenAI-maintained MCP wrappers for popular services like Google apps, Dropbox, and more that can be used to give model read access to data stored in those services.

Released the Conversations API, which allows you to create and manage long-running conversations with the Responses API. See the migration guide to see a side-by-side comparison and learn how to migrate from an Assistants API integration to Responses and Conversations.

Launched support for Priority processing. Priority processing delivers significantly lower and more consistent latency compared to Standard processing while keeping pay-as-you-go flexibility.

New reusable prompts are now available in the dashboard and Responses API. Via API, you can now reference templates created in the dashboard via the prompt parameter (with a prompt id, optional version) and supply dynamic variables that can include strings, images, or file inputs. Reusable prompts are not available in Chat Completions. Learn more.

Released o3-pro, a version of the o3 reasoning model that uses more compute to answer hard problems with better reasoning and consistency. Prices for the o3 model have also been reduced for all API requests, including batch and flex processing.

Added fine-tuning support with direct preference optimization for the models gpt-4.1-2025-04-14, gpt-4.1-mini-2025-04-14, and gpt-4.1-nano-2025-04-14.

Feature

v1/chat/completions

v1/realtime

Added support for using strict mode for tool schemas when using parallel tool calling with non-fine-tuned models. Added new schema features, including string validation for email and other patterns and specifying ranges for numbers and arrays.

Added gpt-4.1, gpt-4.1-mini, and gpt-4.1-nano models to the API. These new models feature improved instruction following, coding, and a larger context window (up to 1M tokens). gpt-4.1 and gpt-4.1-mini are available for supervised fine-tuning. Announced deprecation of gpt-4.5-preview.

Added gpt-4o-mini-tts, gpt-4o-transcribe, gpt-4o-mini-transcribe, and whisper-1 models to the Audio API.

Released o1-pro, a version of the o1 reasoning model that uses more compute to answer hard problems with better reasoning and consistency.

Added metadata field support to fine-tuning jobs.

Released a research preview of GPT-4.5—our largest and most capable chat model yet. GPT-4.5's high "EQ" and understanding of user intent make it better at creative tasks and agentic planning.

Launched the API Usage Dashboard Update. This update addresses requests for additional data filters, such as project selection, date picker, and fine-grained intervals. There’s also better support for viewing usage across different products and service tiers.

Introducing data residency in Europe. Read more here.

Launched o3-mini, a new small reasoning model that is optimized for science, math, and coding tasks.

Expanded access to o1 model. The o1 series of models are trained with reinforcement learning to perform complex reasoning.

Launched Admin API Key Rotations, enabling customers to programmatically rotate their admin api keys.

Updated Admin API Invites, enabling customers to programmatically invite users to projects at the same time they are invited to organizations.

Launched Usage API, enabling customers to programmatically query activities and spending across OpenAI APIs.

Released Predicted Outputs, which greatly reduces latency for model responses where much of the response is known ahead of time. This is most common when regenerating the content of documents and code files with only minor changes.

Released new omni-moderation-latest moderation model, which supports both images and text (for some categories), supports two new text-only harm categories, and has more accurate scores.

Released o1-preview and o1-mini, new large language models trained with reinforcement learning to perform complex reasoning tasks.

Launched Admin and Audit Log APIs, allowing customers to programmatically administer their organization and monitor changes using the audit logs. Audit logging must be enabled within settings.

Launched self-serve SSO configuration, allowing Enterprise customers on custom and unlimited billing to set up authentication against their desired IDP.

Released GPT-4o mini, our affordable an intelligent small model for fast, lightweight tasks.

Released Uploads to upload large files in multiple parts.

Released GPT-4o in the API. GPT-4o is our fastest and most affordable flagship model.

Added a new endpoint to delete a message from a thread in the Assistants API.

Introduced project based hierarchy for organizing work by projects, including the ability to create API keys and manage rate and cost limits on a per-project basis (cost limits available only for Enterprise customers).

Added support for streaming in the Assistants API

Released embedding V3 models and an updated GPT-4 Turbo preview

Added dimensions parameter to the Embeddings API