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December 15, 2025

This major release introduces GPT-6 Astra, a highly capable new model for complex reasoning, coding, and computer use, featuring new async tool calling and mid-turn steering controls for dynamic workflows. The Agents API is now in public beta, offering a managed harness for building agents with durable sessions and flexible sandboxes. Additionally, new image generation models like Sunburst and Flare, alongside GPT Transcribe and GPT Live Transcribe, enhance multimodal and real-time audio applications. Platform improvements include a Terraform provider, comprehensive API key governance, hard spend limits, and a Prompt Caching dashboard for better efficiency.

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Added API key creation governance controls at the organization and project levels. Administrators can allow only service-account keys, allow only user-owned project keys, or disable all new API key creation. Organization restrictions take precedence over project settings, and existing API keys are unaffected. See production best practices for details.
Released the Agents API in public beta. Build agents with a managed Codex harness while OpenAI handles session orchestration, context compaction, and recovery.
Released GPT Image 2.5 Sunburst and GPT Image 2.5 Flare for image generation and editing through the Image API and the Responses API image generation tool.
Use Sunburst for workflows where editing precision matters most, or Flare for fast, high-quality everyday image generation. Both models support the new xhigh and max quality settings and use GPT Image 2 token rates. See the image generation guide and pricing.
Released GPT-6 Astra, our most capable model, built for the hardest end-to-end work.
Added new controls for long-running work with GPT-6 Astra in the Responses API:
Released the Prompt Caching dashboard on the OpenAI API platform. Track your cache hit rate over time, cache reads per write, and the breakdown of cache-read, cache-write, and uncached tokens to understand your caching efficiency and identify opportunities to improve. Filter metrics by model and service tier.
Announced Ultrafast mode, a new API service tier for GPT-5.6 Sol that runs up to 14x faster than Standard processing. Available in limited preview to select customers. Sign up to receive updates on Ultrafast mode here.
Released the official OpenAI Terraform provider for managing OpenAI API Platform resources as infrastructure as code.
Released GPT Transcribe for accurate file transcription and final transcripts of committed Realtime turns, along with GPT Live Transcribe for low-latency streaming transcription.
Added hard spend limits for organizations and projects on the OpenAI API platform. Set a monthly cap that causes affected API requests to return a 429 error when tracked spend reaches the limit. Use spend alerts for notification before traffic is interrupted. Read more in the spend limits guide.
Released the GPT-5.6 model family, including GPT-5.6 Sol for frontier capability, GPT-5.6 Terra for a balance of intelligence and cost, and GPT-5.6 Luna for efficient, high-volume workloads. The gpt-5.6 alias routes requests to gpt-5.6-sol.
Released GPT-Realtime-2.1, an updated realtime reasoning model with improved alphanumeric recognition, silence and noise handling, and interruption behavior. Also released GPT-Realtime-2.1 mini, a faster, lower-cost distilled reasoning model for realtime voice applications.
Released the Safety Usage Dashboard on the OpenAI API platform. The Safety dashboard shows blocked Responses requests based on safety_identifier values sent on requests to identify end users. Visit the Safety dashboard.
Released a redesigned navigation for the OpenAI API platform, visit here.
Added moderation scores to the Responses API and Chat Completions API. Pass a moderation object in a generation request to receive moderation results for both the model input and generated output in the same response.
Released chat-latest snapshot which points to the latest Instant model currently used in ChatGPT. We recommend leveraging GPT-5.5 for production API usage, but feel free to use this model to test the latest improvements for chat use cases. The underlying model snapshot will be regularly updated. Read more here.
Released workload identity federation. Trusted workloads can exchange externally issued identity tokens for short-lived OpenAI access tokens without storing long-lived API keys.
Added new Admin API capabilities for managing spend alerts, model allowlists, data retention settings, and hosted tool permissions, plus querying granular billing line items.
Released Secure MCP Tunnel for enterprise customers. Secure MCP Tunnel lets supported OpenAI products including ChatGPT web, Codex, Responses API, and AgentKit connect to private or on-prem MCP servers through a customer-hosted tunnel-client without exposing those servers to the public internet.
Added return_token_budget for the Responses API web search tool. Use it to opt in to longer GPT-5+ reasoning web search runs for high-effort research and evaluation workloads.
Released GPT-Realtime-2, a new realtime voice model with configurable reasoning for speech-to-speech agents, along with GPT-Realtime-Translate for streaming speech translation and GPT-Realtime-Whisper for streaming speech-to-text.
Released the OpenAI Developers plugin for Codex. This helps you build AI applications and agents in Codex with OpenAI Platform access and OpenAI API setup guidance.
Released chat-latest snapshot which points to the latest Instant model currently used in ChatGPT. We recommend leveraging GPT-5.5 for production API usage, but feel free to use this model to test our latest improvements for chat use cases. The underlying model snapshot will be regularly updated. Read more here.
Released GPT-5.5, a new frontier model for complex professional work, to the Chat Completions and Responses API, and released GPT-5.5 Pro for Responses API requests for tougher problems that benefit from more compute.
Released GPT Image 2, a state-of-the-art image generation model for image generation and editing. GPT Image 2 supports flexible image sizes, high-fidelity image inputs, token-based image pricing, and Batch API support with a 50% discount.
Updated the Agents SDK with new capabilities, including:
Released GPT-5.4 mini and GPT-5.4 nano to the Chat Completions and Responses API. GPT-5.4 mini brings GPT-5.4-class capabilities to a faster, more efficient model for high-volume workloads, while GPT-5.4 nano is optimized for simple high-volume tasks where speed and cost matter most.
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-5.4, our newest frontier model for professional work, to the Chat Completions and Responses API, and released GPT-5.4 Pro to the Responses API for tougher problems that benefit from more compute.
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.
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.
Released GPT-Realtime-1.5 to the Realtime API.
Released gpt-audio-1.5 to the Chat Completions API. Read more here.
Launched server-side compaction in the Responses API.
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.
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.
Added gpt-image-1.5 and chatgpt-image-latest to the Responses API image generation tool.
Released gpt-image-1.5 and chatgpt-image-latest, our latest and most advanced models for image generation. Read more here.
Released four new dated audio snapshots. These updates deliver reliability, quality, and voice fidelity improvements for real-time, voice-driven applications. Read more here.
Released GPT-5.2, the newest flagship model in the GPT-5 model family. GPT-5.2 shows improvements over the previous GPT-5.1 in:
What's new in 5.2 is a new xhigh reasoning effort level, concise reasoning summaries, and new context management using compaction.
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, the newest flagship model in the GPT-5 model family. GPT-5.1 is trained to be especially proficient in:
Note that GPT-5.1 defaults to a new none reasoning setting for faster responses when less thinking's required—different from the previous medium default setting in GPT-5.
Released enhanced role-based access controls (RBAC). Role-based access control (RBAC) lets you decide who can do what across your organization and projects—both through the API and in the Dashboard.
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.
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 UK data residency.
Released several new features at OpenAI DevDay:
Released GPT-5 Pro, a version of GPT-5 that uses more compute to think harder and provide consistently better answers.
Released GPT-Realtime mini and gpt-audio-mini for more cost-efficient speech to speech performance.
Released gpt-image-1-mini for more cost-efficient image generation and editing.
Launched v1/videos for rich, detailed, and dynamic video generation and remixing with our latest Sora 2 and Sora 2 Pro models.
Launched Agent Builder for visually creating custom multi-agent workflows.
Launched ChatKit, an embeddable chat interface for deploying agents.
Released Trace Evals, Datasets, and Prompt Optimization tools.
Launched Service health dashboard.
Released IP allowlist. IP allowlisting restricts API access to only the IP addresses or ranges you specify.
Added support for image and file as a tool call output in Responses API.
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.
Released GPT-5 family of models in the API, including gpt-5, gpt-5-mini, and gpt-5-nano.
Introduced the minimal reasoning effort value to optimize for fast responses in GPT-5 models (which support reasoning).
Introduced custom tool call type, which allows for freeform inputs to and outputs from the model when tool calling.
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.
Released o3-deep-research and o4-mini-deep-research, deep research variants of our o-series reasoning models optimized for deep analysis and research tasks. Learn more in the deep research guide.
Added support for async event handling with webhooks. Reduced and simplified pricing for the web search tool. Added support for the web search tool.
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.
New model snapshots available for gpt-4o-audio-preview and gpt-4o-realtime-preview. Released Agents SDK for TypeScript.
Added support for new built-in tools in the Responses API, including remote MCP servers and code interpreter. Learn more about tools.
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.
Launched codex-mini-latest in the API, optimized for use with the Codex CLI.
Launched support for reinforcement fine-tuning. Learn about available fine-tuning methods. gpt-4.1-nano is now available for fine-tuning.
Launched support for Enhanced API Budget Alerts & Auto-recharge Limits.
Added a new image generation model, gpt-image-1. This model sets a new standard for image generation, with improved quality and instruction following.
Updated the Image Generation and Edit endpoints to support new parameters specific to the gpt-image-1 model.
Added two new o-series reasoning models, o3 and o4-mini. They set a new standard for math, science, and coding, visual reasoning tasks, and technical writing.
Launched Codex, our code generation CLI tool.
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.
Released several new models and tools and a new API for agentic workflows:
Released the Responses API, a new API for creating and using agents and tools.
Released a set of built-in tools for the Responses API: web search, file search, and computer use.
Released the Agents SDK, an orchestration framework for designing, building, and deploying agents.
Announced new models: gpt-4o-search-preview, gpt-4o-mini-search-preview, computer-use-preview.
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.
Launched Admin API Key Rotations, enabling customers to programmatically rotate their admin api keys.
Added new models for o1, gpt-4o-realtime, gpt-4o-audio and more.
Added WebRTC connection method for the Realtime API.
Added reasoning_effort parameter for o1 models.
Added developer message role for o1 model. Note that o1-preview and o1-mini do not support system or developer messages.
Launched Preference Fine-tuning using Direct Preference Optimization (DPO).
Launched beta SDKs for Go and Java. Learn more.
Added Realtime API support in the Python SDK.
Launched Usage API, enabling customers to programmatically query activities and spending across OpenAI APIs.
Released gpt-4o-2024-11-20, our newest model in the gpt-4o series.
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.
Added five new voice types in the Realtime API and Chat Completions API.
Released new gpt-4o-audio-preview model for chat completions, which supports both audio inputs and outputs. Uses the same underlying model as the Realtime API.
Released several new features at OpenAI DevDay in San Francisco:
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.
Released dynamic model for chatgpt-4o-latest—this model will point to the latest GPT-4o model used by ChatGPT.
Launched Structured Outputs—model outputs now reliably adhere to developer supplied JSON Schemas.
Released gpt-4o-2024-08-06, our newest model in the gpt-4o series.
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.
Launched fine-tuning for GPT-4o mini, enabling even higher performance for specific use cases.
Released GPT-4o mini, our affordable an intelligent small model for fast, lightweight tasks.
Released Uploads to upload large files in multiple parts.
Added support for file search customizations.
Added support for archiving projects . Only organization owners can access this functionality.
Added support for setting cost limits on a per-project basis for pay as you go customers.
Released GPT-4o in the API. GPT-4o is our fastest and most affordable flagship model.
Added support for image inputs to the Assistants API.
Added support for fine-tuned models to the Batch API .
Added stream_options: {"include_usage": true} parameter to the Chat Completions and Completions APIs. Setting this gives developers access to usage stats when using streaming.
Added a new endpoint to delete a message from a thread in the Assistants API.
Added a new function calling option tool_choice: "required" to the Chat Completions and Assistants APIs.
Added a guide for the Batch API and Batch API support for embeddings models
Introduced a series of updates to the Assistants API , including a new file search tool allowing up to 10,000 files per assistant, new token controls, and support for tool choice.
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).
Released Batch API
Released GPT-4 Turbo with Vision in general availability in the API
Added support for seed in the fine-tuning API
Added support for checkpoints in the fine-tuning API
Added support for adding Messages when creating a Run in the Assistants API
Added support for filtering Messages by run_id in the Assistants API
Added support for temperature and assistant message creation in the Assistants API
Added support for streaming in the Assistants API
Added timestamp_granularities parameter to the Audio API
Released gpt-3.5-turbo-0125, an updated GPT-3.5 Turbo model
Released embedding V3 models and an updated GPT-4 Turbo preview
Added dimensions parameter to the Embeddings API
Added additional_instructions parameter to run creation in the Assistants API
Added logprobs and top_logprobs parameters to the Chat Completions API
Released OpenAI Deno SDK
Released GPT-4 Turbo Preview, updated GPT-3.5 Turbo, GPT-4 Turbo with Vision, Assistants API, DALL·E 3 in the API, and text-to-speech API
Released OpenAI Python SDK V1.0
Added encoding_format parameter to the Embeddings API
Added max_tokens to the Moderation models
Added function calling support to the Fine-tuning API

Improved

Optimization cycle
Optimize Metadata
Improving the threat model
Optimization

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You can now set expiration dates when creating project API keys. Administrators can also enforce a maximum key lifetime at the organization or project level in Platform settings, requiring newly created keys to expire within the configured limit. See production best practices for guidance on key expiration and rotation.
Use durable sessions to continue work across turns, stream progress, and connect your own tools and MCP servers. Run agents in OpenAI-hosted sandboxes or connect a sandbox from your own infrastructure or a supported provider.
Start with the Agents API quickstart.
GPT-Live 1 is now generally available in the API. Build full-duplex voice conversations that can continue while a backend model or agent handles reasoning and tools.
Use Responses delegation with an OpenAI model, or client delegation to connect your own backend. Voice sessions cost $0.05 per minute, billed per second; backend model and tool usage is charged separately.
Start with GPT-Live, prompting, and migration guidance. See pricing for details.
Prompt Cache Diagnostics is now generally available in the Responses API for GPT-5.6 and later supported models.
Compare cache reuse against a previous response, identify reasons for cache misses, and follow troubleshooting guidance to improve cache reuse.
GPT-Rosalind (gpt-rosalind-research) is now generally available through the trusted-access program for approved internal life sciences research.
Standard pricing is $5 per 1M input tokens, $0.50 per 1M cached input tokens, and $25 per 1M output tokens. Billing begins on October 5, 2026. See pricing for details.
Use GPT-6 Astra for reasoning, coding, computer use, research, and document creation. It combines these capabilities to carry complex tasks from an initial request to a finished result, using the context and tools you provide.
Key changes to consider when migrating:
GPT-6 Astra does not support the none reasoning effort level.
GPT-6 Astra does not support custom temperature or top_p values or log probabilities (logprobs).
Tool calling requires the Responses API. If you use tools with Chat Completions, follow the Responses migration guide.
Misalignment monitoring asynchronously checks for potential issues during agent work in supported Responses API requests. Checks can trigger safety alerts or stop a conversation for review.
Start with Using GPT-6 Astra for capabilities, prompting, and migration guidance. Explore computer use for browser and desktop workflows, and see pricing for available inference tiers.
Async tool calling: Let the model continue working while your application runs function or custom tools, then return results as they become available.
Mid-turn steering: Send additional instructions while a response is in progress over WebSockets, so the model can incorporate corrections or changing requirements.
Change reasoning effort mid-conversation: Increase effort for difficult work or reduce it for routine follow-ups while preserving the cached prompt prefix.
Updated API errors so applications can distinguish traffic that increases too quickly from temporary model overload.
Traffic that increases too quickly can return a 429 error with the slow_down code. Temporary model overload returns a 503 error with the server_is_overloaded code. Both responses may include Retry-After. When the header is present, wait at least as long as it specifies before retrying. If it's missing, use exponential backoff. See the error codes guide and rate limits guide.
Connections to api.openai.com can now use IPv6.
Mutual TLS (mTLS) and X.509 workload identity federation are now generally available for the OpenAI API. Configure certificates and X.509 identity providers directly in the Platform console, with access controlled by your organization's roles and permissions.
Announced the deprecation of whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe, and gpt-4o-transcribe-diarize. These models will shut down on February 26, 2027. Migrate to gpt-live-transcribe or gpt-transcribe. See the transcription guide and deprecations page.
The Assistants API shut down on August 26, 2026. Migrate to the Responses API and Conversations API using the migration guide.
API customers can now select regional processing for an individual request by using a prefixed domain with an API key from a project having Global geography. Existing eligibility, data retention control, endpoint, and model support requirements continue to apply. Learn more in the data controls guide.
GPT-5.6 Sol now costs $4 per million input tokens and $20 per million output tokens, representing 20% lower input pricing and 33% lower output pricing. GPT-5.6 Sol’s promotional pricing is available at least through November 21, 2026. See pricing details.
Transparent backgrounds are now available in preview for gpt-image-2 and gpt-image-2-2026-04-21 in the Images API and the Responses API image generation tool. Set background to transparent and use png or webp output; jpeg does not support transparent backgrounds. Learn more in the image generation guide.
Start with Daybreak Blue for most defensive security work. It provides access to general-purpose models such as GPT-5.6 Sol for vulnerability discovery, secure code review, detection engineering, incident response, malware analysis, and patch validation. Read more here.
Daybreak Red provides separately approved access to purpose-trained models such as GPT-5.6 Cyber for authorized vulnerability reproduction, exploit validation, penetration testing, red teaming, and complex system analysis.
These models require separate approval and provisioning. You can apply to join the Daybreak program here. More details on pricing here.
Updated the chat-latest snapshot, which points to the latest model available in ChatGPT for Plus and Pro users. We recommend leveraging GPT-5.6 Sol for production API usage, but feel free to use this model to test the latest improvements for chat use cases. The underlying model snapshot will be regularly updated. Read more here.
Fast mode now supports long-context requests for GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna. As of today, long-context prompts exceeding 272K tokens can run in Fast mode, delivering speeds up to 2.5× faster than the Standard tier. See pricing details.
Customers can now filter and group data by API key in the Usage and Costs dashboards. The Usage API and Costs API also support the API key dimension for programmatic reporting and analysis.
Starting July 30, GPT-5.6 Luna costs 80% less, while GPT-5.6 Terra costs 20% less. See pricing details.
We're also introducing Fast mode in the API, which replaces our Priority Processing offering. For GPT-5.6 Sol, Fast mode now delivers up to 2.5× faster speeds than standard processing at twice the price. This change is backward compatible: requests tagged priority will automatically use Fast mode.
Provision and manage projects, users, groups, roles, access assignments, service accounts, certificates, invitations, and project-level rate limits. Use standard Terraform workflows to review and apply changes, import existing resources, and detect and reconcile configuration drift. Install the provider from the Terraform Registry.
Both models support free-form transcription context, keyword hints, and multiple expected input languages. Compare supported outputs and workflows in the transcription guide.
GPT-5.6 adds Programmatic Tool Calling, explicit prompt caching controls, persisted reasoning, max reasoning effort, and Pro mode, and Multi-agent orchestration in beta for the Responses API. GPT-5.6 also accepts images at their original dimensions with original or auto image detail.
Updated the chat-latest snapshot, which points to the latest Instant model currently used in ChatGPT. We recommend leveraging GPT-5.5 for production API usage, but feel free to use this model to test the latest improvements for chat use cases. The underlying model snapshot will be regularly updated. Read more here.
Web search can now return image results alongside regular text results. Use image search when your application needs current or web-grounded visuals, such as product photos, landmarks, places, events, or visual references. Read more in the web search guide.
Learn more in the Moderation guide.
Announced the deprecation of reusable prompt objects, the Evals platform, and Agent Builder. See the deprecations page for shutdown timelines and migration guidance.
Starting June 2, 2026, eligible container sessions will be billed per minute with a 5-minute minimum, instead of being billed at the full 20-minute session rate. The underlying per-minute rate will remain the same.
This update is intended to make billing more granular for shorter sessions and will lower effective cost for customers.
You can find current built-in tool pricing in our API pricing docs.
OpenAI models are now available in Amazon Bedrock through an OpenAI-compatible Responses API endpoint. Supported models and features vary by AWS Region. Learn more.
For organizations without ZDR enabled, prompt_cache_retention now defaults to 24h instead of in_memory, enabling extended prompt caching by default. Learn more.
You can now manage multiple IP allowlists and apply each one at the project level or across the whole organization. To configure them, go to Settings > Security > IP allowlist.
DALL·E model snapshots dall-e-2 and dall-e-3 were deprecated and removed from the API on May 12, 2026. We recommend using gpt-image-2, gpt-image-1, or gpt-image-1-mini instead.
The Realtime API Beta was deprecated and removed from the API on May 12, 2026. If you are still using the beta interface, migrate to the released Realtime API. See the migration guide and the full deprecations page.
Updated the Realtime and audio guide, added a dedicated Realtime translation guide, refreshed Realtime transcription for streaming transcripts, and moved realtime prompting guidance into Using realtime models.
The updated Agents SDK is now available in TypeScript, with support for sandbox agents and an open-source harness built in. Learn more here.
Admin APIs are now supported in the OpenAI SDKs for Node, Python, Go, Ruby, and Java. See the Admin APIs guide for setup instructions and examples.
GPT-5.5 supports a 1M token context window, image input, structured outputs, function calling, prompt caching, Batch, tool search, built-in computer use, hosted shell, apply patch, Skills, MCP, and web search. Key updates include:
Reasoning effort now defaults to medium.
When image_detail is unset or set to auto, the model now uses original behavior.
Caching for GPT-5.5 only works with extended prompt caching. In-memory prompt caching is not supported. Learn more here.
running agents in controlled sandboxes;
inspecting and customizing the open-source harness; and
controlling when memories are created and where they're stored.
GPT-5.4 mini supports tool search, built-in computer use, and compaction. GPT-5.4 nano supports compaction, but does not support tool search or computer use.
Updated the gpt-5.3-chat-latest slug to point to the latest model currently used in ChatGPT.
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.
Also released:
Tool search in the Responses API, which lets models defer large tool surfaces until runtime to reduce token usage, preserve cache performance, and improve latency.
Built-in Computer use support in GPT-5.4 through the Responses API computer tool for screenshot-based UI interaction.
A 1M token context window and native Compaction support for longer-running agent workflows.
Expanded input_file support in the Responses API to accept more document, presentation, spreadsheet, code, and text file types. 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.
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.
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.
gpt-4o-mini-transcribe-2025-12-15
This launch also includes support for Custom voices for eligible customers.
General intelligence
Instruction following
Accuracy and token efficiency
Multimodality—especially vision
Code generation—especially front-end UI creation
Tool calling and context management in the API
Spreadsheet understanding and creation.
Steerability and faster responses when less thinking's required
Code generation and coding use cases
Agentic workflows
gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are safety reasoning models built-upon gpt-oss. Read more here.
Evals: Released Third-Party Model Support.
The OpenAI Realtime API is now generally available. Learn more in our Realtime API guide.
Announced plans to bring all Assistants API features to the easier to use Responses API, with an anticipated sunset date for Assistants in 2026 (after achieving full feature parity).
Expanded access to o1 model. The o1 series of models are trained with reinforcement learning to perform complex reasoning.
Updated Admin API Invites, enabling customers to programmatically invite users to projects at the same time they are invited to organizations.
Realtime API: Build fast speech-to-speech experiences into your applications using a WebSockets interface.
Model distillation: Platform for fine-tuning cost-efficient models with your outputs from a large frontier model.
Image fine-tuning: Fine-tune GPT-4o with images and text to improve vision capabilities.
Evals: Create and run custom evaluations to measure model performance on specific tasks.
Prompt caching: Discounts and faster processing times on recently seen input tokens.
Generate in playground: Easily generate prompts, function definitions, and structured output schemas in the playground using the Generate button.
Assistants API now supports including file search results used by the file search tool, and customizing ranking behavior.
GA release for gpt-4o-2024-08-06 fine-tuning—all API users can now fine-tune the latest GPT-4o model.
Parallel function calling can be disabled in Chat Completions and the Assistants API by passing parallel_tool_calls=false.
.NET SDK launched in Beta.
Changed function parameters argument on a tool call to be optional
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Fixed

Codex Security plugin Quickstart Run a security scan Run a deep scan Review code changes Use the Security workbench Triage a backlog Fix findings Propose security hardening Write vulnerability reports Export and track findings Changelog
Fix findings
Daybreak now offers two access tiers for approved defenders: Daybreak Blue and Daybreak Red. Use them to move from security findings to validated fixes in explicitly authorized engagements.
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.
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).

Removed

Deprecations
Deprecated DALL·E model snapshots and the Realtime API Beta.
Deprecated the Chat Completions functions parameter in favor of tools