Models/Vendor
OpenAI
Subscription plans
updated 2026-05-11Free
individual$0/ month
GPT-5 mini access with strict rate limits.
- ✓Limited GPT-5 messages
- ✓Standard voice mode
- ✓Image generation (limited)
Plus
individual$20/ month
The standard consumer tier — GPT-5.5 with higher message caps and Codex/Operator/voice access.
- ✓GPT-5.5 access
- ✓Codex CLI
- ✓Operator browser agent
- ✓Advanced voice mode
- +2 more
Pro
individual$200/ month
GPT-5.5 Pro with extended reasoning and effectively unlimited usage. Aimed at heavy power users.
- ✓Unlimited GPT-5.5 access
- ✓GPT-5.5 Pro (extended reasoning)
- ✓Higher Codex quotas
- ✓Priority access during peak load
Team
team$30/ seat / mo (2+ seats)
For small teams. Shared workspace, no data training on your conversations.
- ✓Everything in Plus
- ✓Admin console
- ✓Shared GPTs
- ✓No data training
Enterprise
enterpriseContact sales
Custom-priced. SSO, audit logs, dedicated capacity.
- ✓Custom data residency
- ✓SSO + SCIM
- ✓Audit logs
- ✓Dedicated capacity
Infrastructure intelligence
Full feed →Compute deals, data centers, silicon, and capex that shape OpenAI's training and inference economics.
- GPU supplyverified
NVIDIA GB300 ships at volume Q2 2026, replacing GB200 in hyperscaler deals
GB300 NVL72 began volume shipments in April 2026, six months ahead of original schedule. Each rack delivers 1.4x the FP8 throughput of GB200 NVL72 with the same power envelope. Microsoft, Oracle, and xAI are the largest Q2 2026 takers. CoreWeave disclosed first GB300 deployment May 7.
Accelerators: GB300 - Data centerreported
Microsoft Fairwater Wisconsin: dedicated 1.5GW OpenAI training campus
Microsoft's Mount Pleasant, WI "Fairwater" campus — disclosed as a dedicated OpenAI training facility — reached 1.5GW configuration by Q1 2026 with NVIDIA GB200 NVL72 racks. The site uses closed-loop water cooling to reduce evaporative loss. Total Microsoft AI capex run-rate for FY26 is ~$110B.
Accelerators: GB200Power: 1.50 GWLocation: Mount Pleasant, WI - Data centerverified
Stargate Abilene: OpenAI + Oracle + SoftBank $500B compute pact, first 1.2GW campus
Stargate is a 4-year, $500B compute commitment announced January 2025, jointly funded by OpenAI, Oracle, SoftBank, and MGX. The flagship 1.2GW Abilene, TX campus came online in phases through 2025–2026, anchored by Oracle Cloud. Additional sites in Wisconsin and New Mexico are under construction. Powers OpenAI's training fleet for GPT-5.5 and beyond.
Power: 1.20 GWCapex: $500BLocation: Abilene, TX
Models
Filter on /models →GPT-5.5
released 2026-04-23
OpenAI's smartest and most intuitive model — successor to GPT-5, with major coding, research, and document workflow gains. GPT-5.5 Pro variant also available for heavier reasoning.
- Context
- 400,000
- License
- proprietary
GPT-5
released 2025-08-07
OpenAI's flagship general-purpose model. Superseded by GPT-5.5 in April 2026.
- Context
- 400,000
- License
- proprietary
o3
released 2025-04-16
Reasoning-focused model in the o-series.
- Context
- 200,000
- License
- proprietary
GPT-4.1
released 2025-04-14
- Context
- 1,000,000
- License
- proprietary
Agents
Recent news
OpenAI reveals its first AI processor: Jalapeño
OpenAI revealed its first AI server chip, Jalapeño, an “intelligence processor” built with Broadcom and designed as an ASIC for AI inference in current and future large language models. It matters because it marks OpenAI’s move into custom silicon for serving products like ChatGPT and Codex, following its chip partnership announcement just nine months earlier.
How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery
GPT-5 Pro helped immunologist Derya Unutmaz solve a three-year-old mystery about T cell behavior. The result matters because it could advance cancer and autoimmune research by providing new insights into immune system regulation.
Daybreak: Tools for securing every organization in the world
OpenAI introduced Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale. The new tools are meant to bring AI-assisted security workflows to every organization, with a focus on faster vulnerability discovery and remediation.
Codex-maxxing for long-running work
Jason Liu describes using Codex to preserve context and manage complex projects so work can continue beyond a single prompt. The key point is that Codex is being used for long-running tasks where retaining state and continuity matters more than one-shot answers.
Samsung Electronics brings ChatGPT and Codex to employees
Samsung Electronics is deploying ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts. This gives Samsung broad access to OpenAI’s tools across its global workforce and signals continued expansion of enterprise AI adoption at major hardware companies.
Who decides when AI is too dangerous?
The Trump administration imposed export controls on Anthropic’s new Fable 5 model and the underlying Mythos model, then Anthropic took both offline because it said it could not reliably block access for foreign nationals, including employees in the U.S. Fable 5 was still unavailable in Claude days later, and the dispute is now a test case for whether U.S. AI regulation will function as a real safety framework or as a political weapon against companies that don’t comply.
Improving health intelligence in ChatGPT
GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context handling, clearer communication, and physician-informed evaluations. The update matters because it is aimed at making health advice in ChatGPT more reliable and easier to understand, which is especially important for sensitive medical and wellness queries.
A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
OpenAI and Molecule.one reported that a near-autonomous AI chemist using GPT-5.4 improved a challenging medicinal-chemistry reaction. The result suggests large models can do more than propose molecules, potentially accelerating optimization of real drug-making steps.
The Week’s 10 Biggest Funding Rounds: NinjaOne Leads With $400M As Large Deals Also Go To Blockchain, Cloud Infrastructure, Biotech And Robotics
NinjaOne led U.S. startup funding rounds with a $400 million Series C extension at a $12.3 billion valuation, followed by Digital Asset’s $355 million raise, TensorWave’s $350 million Series B, and several other large deals in biotech, robotics, and agentic AI. The week’s standout financings were actually in Europe, where Neura Robotics said it secured up to $1.4 billion and Iceye raised $520 million, underscoring that megadeals are still flowing across enterprise software, blockchain, AI infrastructure, and frontier hardware.
How an astrophysicist uses Codex to help simulate black holes
Astrophysicist Chi-kwan Chan uses Codex to help build black hole simulations for studying extreme physics and testing Einstein’s theory of general relativity. It shows how coding assistants can speed scientific simulation work in a domain where accurate models are computationally demanding and physically complex.
OpenAI to acquire Ona
OpenAI plans to acquire Ona to add secure, persistent cloud environments to Codex, enabling long-running AI agents across enterprise workflows. The deal matters because persistent environments are a key missing piece for agentic coding and enterprise automation, where models need stable state and execution over long periods.
Access OpenAI models and Codex through your Oracle cloud commitment
Oracle is offering access to OpenAI models and Codex through Oracle Cloud, allowing customers to use existing cloud commitments to build and deploy AI applications with enterprise security and governance. This matters because it lets enterprises consume OpenAI capabilities without changing procurement, while keeping workloads inside Oracle’s security and governance framework.
How engineers at Nextdoor use Codex to build without limits
Nextdoor engineers are using Codex with GPT-5.5 to investigate hard-to-reproduce issues and build across platforms. The setup is meant to remove engineering bottlenecks so they can spend more time on product outcomes instead of debugging and platform-specific work.
What Codex unlocks for Notion
Notion says it uses Codex to one-shot specs and help build features like AI Voice Input for the web, while multiplying engineering output across small teams. The notable detail is that Codex is being positioned as a practical force multiplier for product and engineering work, not just a coding assistant.
Microsoft’s AI chief says superintelligence is near, but won’t take your job
Microsoft AI CEO Mustafa Suleyman said Microsoft’s October renewal with OpenAI freed it to pursue superintelligence independently, and that he has since assembled a Superintelligence team, built new training clusters, and announced seven new models at Build. He argued the OpenAI partnership remains one of the most successful in history, while framing Microsoft’s move as a shift toward frontier model development rather than a focus on taking people’s jobs.