{"slug": "everything-openai-announced-at-the-devday-2026-keynote", "title": "Everything OpenAI announced at the DevDay 2026 keynote", "summary": "OpenAI announced more than 20 updates at its DevDay 2026 keynote in San Francisco on September 29th, led by Dots, persistent always-on agents powered by GPT-6 Astra that each get a cloud computer and roll out to Pro and Business Premium users in eligible markets. OpenAI also launched GPT-6.1 Sol, which it says approaches Astra's performance on coding, computer use and professional tasks at one-fifth of Astra's standard token prices ($2 per million input tokens, $0.10 cached input, $10 output), and introduced Astra Ultrafast, a faster inference tier at up to eight times faster token generation in Codex and up to six times faster in the API, priced at six times the standard rate. A $500 Pro subscription was also announced, and GPT-6.1 Sol is available via the API as gpt-6.1-sol and in ChatGPT Work and Codex but not yet in ordinary Chat.", "body_md": "# Everything OpenAI announced at the DevDay 2026 keynote\n\n**OpenAI introduced dots, GPT-6.1 Sol, new agent APIs and a $500 Pro subscription, while opening more of ChatGPT to developers and their businesses.**\n\n        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)\n        · Published \n\nOpenAI announced more than 20 major updates at [DevDay in San Francisco](https://openai.com/devday/) on September 29th. The keynote covered always-on agents, model pricing, cloud coding and distribution. Some products are available today; others are entering previews or rolling out over the coming weeks.\n\nHere is the rundown, with availability checked against OpenAI's launch materials and product documentation.\n\n### Dots: always-on agents with their own computers\n\n[Dots](https://runtimewire.com/article/openai-launches-dots-always-on-agents) are persistent agents powered by GPT-6 Astra. Each gets a cloud computer and can work across connected apps, carry context between conversations and handle several ongoing projects.\n\nUsers can reach their dot through ChatGPT, Slack and Microsoft Teams, including voice calls. Texting is coming later. With permission, a dot can also connect to a user's laptop.\n\nOpenAI demonstrated delegating Slack requests, investigating bugs and preparing pull requests. Its background “proactive research” uses read-only connected tools; actions follow permissions and approval rules.\n\n[OpenAI's launch materials](https://openai.com/index/introducing-dots/) say dots are rolling out to Pro and Business Premium users in eligible markets. Enterprise, Edu and Healthcare workspaces can enable the beta through an administrator. A first dot is included without an additional subscription charge, although Work and Codex tasks still consume the usual plan allowance.\n\n#### Specialist dots and Microsoft Agent 365\n\nOpenAI also previewed specialist dots for organizational responsibilities, with their own identities, credentials and system access. Initial enterprise pilots cover defined workflows.\n\nThe company is working with Microsoft to integrate them with Agent 365's governance and security controls.\n\n### GPT-6.1 Sol: lower-cost intelligence for coding and work\n\n[GPT-6.1 Sol](https://runtimewire.com/article/openai-gpt-6-1-sol-cuts-frontier-model-pricing) upgrades GPT-6 Sol. OpenAI says it approaches Astra's performance on coding, computer use and professional tasks at one-fifth of Astra's standard input and output token prices.\n\n[OpenAI's published API pricing](https://openai.com/index/introducing-gpt-6-1-sol/) is:\n\n| Token type | Price per million tokens | \n|---|---|\n| Input | $2 | \n| Cached input | $0.10 | \n| Output | $10 | \n\nThe 95% discount discussed onstage applies to cached input relative to standard input pricing. Reusing context therefore costs substantially less than sending fresh input.\n\nThe model is available through the API as `gpt-6.1-sol` and in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users. OpenAI says it is **not yet available in ordinary Chat**.\n\n### Astra Ultrafast: a premium speed tier\n\nOpenAI introduced [Ultrafast](https://developers.openai.com/api/docs/guides/ultrafast-mode), a faster inference tier for GPT-6 Astra, following the [eight-times speed announcement RuntimeWire covered during the keynote](https://runtimewire.com/article/openai-ultra-fast-eight-times-speed-devday-2026). The keynote described speeds of 300 tokens per second and pricing at six times the standard rate.\n\nOpenAI's launch recap specifies up to eight times faster token generation in Codex and up to six times faster in the API. Those figures describe generation speed; a task's overall completion time also depends on tools and other work.\n\nAstra Ultrafast launches today in the API and in ChatGPT Work and Codex on Pro 500 and Enterprise plans. **GPT-6.1 Sol Ultrafast is coming soon.**\n\nRuntimeWire previously covered [the August GPT-5.6 Sol Ultrafast preview on Cerebras hardware](https://runtimewire.com/article/openai-gpt-5-6-sol-ultrafast-cerebras-preview), which carried a different, up-to-14-times speed claim. That earlier preview concerned a different model and rollout.\n\n### Pro 500 launches, and Pro 200 reopens\n\nThe new [Pro 500 subscription](https://help.openai.com/en/articles/9793128-about-chatgpt-pro-tiers) costs **$500 a month**, includes Astra Ultrafast and offers an allowance OpenAI describes as 25 times Plus usage. Eligible usage can also be spent in participating partner apps.\n\nOpenAI reopened the $200-a-month Pro tier to new subscribers. The updated terms matter: new subscriptions without grandfathering receive a lower allowance than the previous Pro 200 offering. Eligible existing subscribers retain their earlier allowance through October 29th, 2026, before moving to the reduced allowance at the same monthly price.\n\n### Decisions API: fast answers from a fixed set of choices\n\nThe Decisions API focuses Luna on questions with predefined possible answers. Developers supply text or images and receive decisions they can use for classification, request routing or an agent's next action.\n\nOnstage, OpenAI described responses arriving in a fraction of a second and discussed using vision inputs to help hardware react quickly.\n\nIt enters **limited preview today**, with broader availability planned in the coming days.\n\n### Agents API: OpenAI's managed Codex harness\n\nThe new [Agents API](https://developers.openai.com/api/docs/guides/agents-api/overview) gives developers access to the Codex harness through a managed service. OpenAI handles sessions, orchestration, context compaction and recovery; developers supply tools and choose execution environments.\n\nAgents can execute code, edit files, connect to MCP servers and delegate work to other agents. OpenAI presented the API as a public beta.\n\n#### Computer use in the Agents API\n\n[Computer use](https://developers.openai.com/api/docs/guides/agents-api/tools/computer-use) lets agents navigate websites and operate applications through an OpenAI-hosted browser. Developers can follow the session's events while the agent observes the interface and decides what to do next.\n\nOpenAI also listed computer use in ChatGPT Work and Codex for Pro 500 and Enterprise.\n\n### Bedrock Managed Agents: OpenAI agents running inside AWS\n\nOpenAI and Amazon introduced [Bedrock Managed Agents](https://aws.amazon.com/bedrock/managed-agents-openai/), combining OpenAI's harness with AWS infrastructure and integrations.\n\nAmazon says agents run in the customer's environment, inference runs on Bedrock and data stays within AWS. The service handles inference, memory and skills and works with Bedrock AgentCore.\n\n### Codex in the cloud gets reusable environments\n\n[Codex Cloud](https://learn.chatgpt.com/docs/cloud) lets developers run tasks remotely and continue from desktop, web or mobile.\n\nReusable development environments hold a project's repositories, dependencies, tools and access settings. Each task gets its own workspace, allowing teams to reuse an approved setup while work continues with a laptop asleep.\n\nRuntimeWire [identified the new Codex Cloud path in desktop build 9922 on September 20th](https://runtimewire.com/article/openai-is-preparing-a-new-codex-cloud-with-tailscale-and-azure-workload-identity), nine days before the keynote. The investigation traced agent-led environment setup alongside Tailscale, proxy-delivered secrets and cloud-identity controls. Those findings described gated client code; the keynote announced reusable cloud environments.\n\n### The Codex CLI gets voice and a new agents view\n\nThe refreshed [Codex CLI](https://learn.chatgpt.com/docs/codex/cli) lets users start and steer tasks by voice.\n\nA new `/agents` view helps track delegated work and multiple tasks. OpenAI also announced improvements to prompt editing, session resumption, Git worktrees and the terminal interface.\n\n### Code review moves into the desktop app\n\nA new [Code Review experience](https://learn.chatgpt.com/docs/code-review?surface=app) in the ChatGPT desktop app brings pull request summaries, changed files, comments and checks into one interface.\n\nUsers can inspect diffs and ask Codex to investigate issues before posting feedback. Automatic cloud reviews can run while a developer is away. GitHub support is generally available; GitLab merge request support is in preview.\n\n### Codex Security Cloud scans repositories and prepares fixes\n\n[Codex Security Cloud](https://learn.chatgpt.com/docs/security/setup) scans connected GitHub repositories on demand or on a schedule and monitors new commits.\n\nOpenAI says it investigates findings, removes duplicates and prepares fixes in the cloud. It also includes access to models offered through Daybreak Blue without a separate Daybreak application.\n\n### Private Intelligence adds protected safety processing\n\nOpenAI announced Private Intelligence for businesses handling sensitive data.\n\n[Zero Data Retention with Private Safety Processing](https://developers.openai.com/api/docs/guides/private-safety-processing) supports automated safety reviews without human access to protected content. Encrypted safety records are kept in customer-controlled storage and reviewed in a hardware-attested runtime.\n\nOpenAI separately previewed **Private Inference**, coming this fall, which combines confidential computing with verifiable controls.\n\n### Plugin extensions let developers build fuller apps inside ChatGPT\n\n[Plugin extensions](https://developers.openai.com/plugins/build/extensions) let developers add sidebar destinations, interactive panels and file viewers to ChatGPT.\n\nThe keynote showed Figma designs and comments alongside a conversation, Photoshop functionality inside ChatGPT, and OpenAI's own Meetings app.\n\nDevelopers can build editors, dashboards and workspaces using the same platform OpenAI uses for its features. Documentation notes that web extensions for Free and Go users are coming soon; composer mentions currently require the desktop app.\n\n### Plugin creation, submission and discovery are changing\n\n[Plugin Creator](https://learn.chatgpt.com/docs/build-plugins) helps users describe a workflow, add instructions and reference files, then build and refine a reusable plugin through conversation.\n\nOpenAI also announced a simpler submission process: developers can track reviews, see what needs fixing, request human review and update tools without restarting the entire submission.\n\nPlugins can be recommended within conversations when ChatGPT identifies a relevant capability, alongside discovery through the directory.\n\n### ChatGPT Sites can host connected plugins\n\nSites can now use supported ChatGPT plugins and connected data. Team members can use the same app with their own accounts, data access and permissions.\n\nOpenAI is also improving how developers add and manage automations so Sites can keep shared information current.\n\n### MCP events can trigger automations\n\nSupport for the proposed [MCP Events specification](https://developers.openai.com/plugins/build/mcp-events) lets connected apps notify ChatGPT when something changes.\n\nA new task, message or content update can trigger an automation while the user is away. Users choose what ChatGPT should monitor and what it should do when an event arrives.\n\nThe integration uses webhooks and requires developer implementation; connecting an app alone does not establish an automation.\n\n### ChatGPT Space creates a shared home for team work\n\n[ChatGPT Space](https://chatgpt.com/features/space/) brings teammates, ChatGPT and dots together around shared knowledge and documents.\n\nThe keynote demonstrated tagging colleagues and agents, building interactive visualizations and using connected Slack context to update work. Space is available on Pro, Business and Enterprise, with desktop and web support.\n\n#### Pages\n\nPages are a new document format for collaboration between people and agents. They can contain writing, research, charts, images and interactive work, with comments and real-time editing.\n\nConnected tools can help keep pages updated.\n\nRuntimeWire's August 28th investigation [found a gated document-review system that turned selected Excel cells and PowerPoint elements into assignments for ChatGPT](https://runtimewire.com/article/openai-built-a-hidden-task-system-for-chatgpt-inside-excel-and-powerpoint-files). That earlier reporting documented threaded agent replies and edits to the underlying Office files.\n\n#### Collaborative slides\n\nOpenAI previewed slides that teammates and agents can edit together, including comments and support for starting from a conversation or an existing template.\n\nUsers will be able to present in ChatGPT or export to PowerPoint and Google Slides. Availability on Pro, Business and Enterprise is planned for the coming weeks. The Space product page also lists collaborative spreadsheets as coming soon.\n\nThe presentation tools extend OpenAI's push into document creation. RuntimeWire covered [ChatGPT's September 17th arrival in Microsoft Word](https://runtimewire.com/article/openai-chatgpt-word-office-add-in-free-plans), which completed its add-in lineup across Word, Excel and PowerPoint.\n\n### Teams and shared tasks support recurring work\n\n[Teams and Team Tasks](https://learn.chatgpt.com/docs/enterprise/teams) let coworkers organize shared work and jointly manage recurring instructions.\n\nTasks can run on a schedule or respond to events such as an email or Slack message. Company-managed connections let teams use shared external accounts.\n\n### ChatGPT can join Slack and Microsoft Teams conversations\n\nUsers can mention [@ChatGPT in Slack or Microsoft Teams](https://chatgpt.com/features/chatgpt-in-slack-and-teams/) to request work in a channel, thread or direct message.\n\nChatGPT can use authorized connected tools, and teammates can contribute context and refine the result within the conversation. OpenAI says colleagues can participate without each needing an individual ChatGPT license.\n\n### Meetings turns conversations into notes and follow-up work\n\nThe [Meetings plugin](https://help.openai.com/en/articles/20001546-the-meetings-plugin-in-chatgpt) captures online or in-person meetings and saves personalized summaries and action items in Space.\n\nUsers can connect a calendar, share notes and ask ChatGPT to perform follow-up work. Audio is deleted once notes are ready.\n\nThe beta launches in the macOS desktop app for Pro and Business. Enterprise is in limited testing, with wider support coming later; Windows, iOS and Android support is also planned.\n\n### Shareable profiles showcase what users build\n\n[Shareable profiles](https://help.openai.com/en/articles/20001539-shareable-profiles-in-chatgpt) let users display their Sites and activity through a profile that can be kept private or shared.\n\nThe help center says profiles are rolling out gradually and Enterprise support is coming soon.\n\n### Sign in with ChatGPT lets subscriptions travel to other apps\n\n[Sign in with ChatGPT](https://help.openai.com/en/articles/20001542-using-your-chatgpt-plan-in-other-apps-and-sites) lets Plus and Pro customers use their existing Work and Codex allowance in participating products.\n\nOpenAI announced 16 participating tools, including Devin, Notion, Vercel, T3, OpenClaw and Dactyl. Users can set per-app limits, and eligible requests count against their overall plan allowance.\n\nThe partner's own subscription or infrastructure charges may still apply. Identity sign-in and access to ChatGPT plan usage are separate capabilities: some products support the login without token sharing.\n\n### OpenAI Marketplace lets enterprises buy partner software\n\n[OpenAI Marketplace](https://openai.com/business/marketplace/) lets eligible enterprise customers apply part of their existing OpenAI spending commitment toward approved partner products.\n\nOpenAI announced 32 initial partners, including Adobe, Figma, Sierra, Decagon, Salesforce, ServiceNow, Harvey, Legora, Palo Alto Networks, CrowdStrike and Baseten.\n\nFor participating vendors, that creates a sales channel tied to budgets customers have already committed to OpenAI. Enterprise customers can express interest, and vendors can join a partner waitlist.\n\n### An AI research intern and faster computer use\n\nOpenAI repeated its claim that it had reached its September goal of an automated research intern: a system that can take on a clearly defined task requiring substantial effort from a skilled researcher. As [RuntimeWire's research-intern coverage explains](https://runtimewire.com/article/openai-research-intern-devday), the milestone had already appeared in OpenAI's September 6th research report; the keynote restated it.\n\nThe company said its models can handle more than a third of day-long research tasks. Researchers also described using models to optimize the computer-use harness and improve safety monitoring. Those were OpenAI's keynote claims, rather than independently verified results.\n\n*Reporting draws on [RuntimeWire's live keynote coverage](https://runtimewire.com/article/devday-2026-live-updates), [OpenAI's DevDay recap](https://openai.com/index/devday-2026-recap/) and the product documentation linked above. Availability reflects September 29th release information and varies by plan, market and rollout stage.*", "url": "https://wpnews.pro/news/everything-openai-announced-at-the-devday-2026-keynote", "canonical_source": "https://runtimewire.com/article/everything-openai-announced-at-the-devday-2026-keynote", "published_at": "2026-09-29 18:48:40+00:00", "updated_at": "2026-09-29 19:22:14.953008+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-products", "ai-tools", "artificial-intelligence"], "entities": ["OpenAI", "GPT-6.1 Sol", "GPT-6 Astra", "Dots", "ChatGPT", "Microsoft", "Agent 365", "Codex"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/everything-openai-announced-at-the-devday-2026-keynote", "markdown": "https://wpnews.pro/news/everything-openai-announced-at-the-devday-2026-keynote.md", "text": "https://wpnews.pro/news/everything-openai-announced-at-the-devday-2026-keynote.txt", "jsonld": "https://wpnews.pro/news/everything-openai-announced-at-the-devday-2026-keynote.jsonld"}}