惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 叶小钗
Microsoft Azure Blog
Microsoft Azure Blog
Stack Overflow Blog
Stack Overflow Blog
Jina AI
Jina AI
Vercel News
Vercel News
H
Help Net Security
Martin Fowler
Martin Fowler
美团技术团队
云风的 BLOG
云风的 BLOG
Y
Y Combinator Blog
阮一峰的网络日志
阮一峰的网络日志
MyScale Blog
MyScale Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 三生石上(FineUI控件)
博客园 - 司徒正美
人人都是产品经理
人人都是产品经理
Engineering at Meta
Engineering at Meta
G
Google Developers Blog
Blog — PlanetScale
Blog — PlanetScale
MongoDB | Blog
MongoDB | Blog
宝玉的分享
宝玉的分享
小众软件
小众软件
T
Tailwind CSS Blog
WordPress大学
WordPress大学

VentureBeat

Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth OpenAI voice models get GPT-5-class reasoning Vibe coding exposed 380,000 corporate apps — 5,000 held sensitive data AI agent identity: how to govern agentic AI in 6 stages Anthropic wants to own your agent's memory, evals, and orchestration — and that should make enterprises nervous Enterprise GPU utilization: why 95% of AI infrastructure spend is wasted Governance, not gatekeeping: How SAP brings enterprise‑grade safety to AI connectivity Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes RL orchestration: how a 7B model routes tasks across GPT-5, Claude, and Gemini Meet ZAYA1-8B, a super efficient open reasoning model trained on AMD Instinct MI300 GPUs Anthropic Skill scanners passed every check. The malicious code rode in on a test file. Why AI breaks without context — and how to fix it Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly The app store for robots has arrived: Hugging Face launches open-source Reachy Mini App Store with 200+ apps Scaling AI into production is forcing a rethink of enterprise infrastructure Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model; researchers demand independent proof. GPT-5.5 Instant shows you what it remembered — just not all of it One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it AI agents are missing all the discussions your team is having. SageOX has an answer: agentic context infrastructure OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next Salesforce Agentforce Operations fixes workflows breaking enterprise AI MCP command execution flaw: what security teams need to know The scaffolding era is over. LlamaIndex says context is the new moat xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite Hidden IT problems are quietly creating risk, shadow IT, and lost productivity Alibaba's HDPO cuts AI agent tool overuse from 98% to 2% One tool call to rule them all? New open source Python tool Runpod Flash eliminates containers for faster AI dev
OpenAI introduces ChatGPT Pro $100 tier with 5X usage lim...
Carl Franzen · 2026-04-10 · via VentureBeat

OpenAI is making moves to try and court more developers and vibe coders (those who build software using AI models and natural language) away from rivals like Anthropic.

Today, the firm arguably most synonymous with the generative AI boom announced it will begin offering a new, more mid-range subscription tier — a $100 ChatGPT Pro plan — which joins its free, Go ($8 monthly), Plus ($20 monthly) and existing Pro ($200 monthly) plans for individuals using ChatGPT and related OpenAI products.

OpenAI also currently offers Edu, Business ($25 per user monthly, formerly known as Team) and Enterprise (variably priced) plans for organizations in said sectors.

Why offer a $100 monthly ChatGPT Pro plan?

So why introduce a new $100 ChatGPT Pro plan, then?

The big selling point from OpenAI is that the new plan offers five times greater usage limits on Codex, the company's agentic vibe coding application/harness (the name is shared by both, as well as a lineup of coding-specific language models), than the existing, $20 monthly Plus plan, which seems fair given the math ($20x5=$100).

As OpenAI co-founder and CEO Sam Altman wrote in a post on X: "It is very nice to see Codex getting so much love. We are launching a $100 ChatGPT Pro tier by very popular demand."

However, alongside this, OpenAI's official company account on X noted that "we’re rebalancing Codex usage in [ChatGPT] Plus to support more sessions throughout the week, rather than longer sessions in a single day."

That sounds a lot like OpenAI is also simultaneously reducing how much ChatGPT Plus users can use its Codex harness and application per day.

What are the new usage limits for the new $100 ChatGPT Pro plan vs. the $20 Plus?

So, what are the current limits on the $20 Plus plan? The new Pro plan gives you 5X greater than...what?

Turns out, this is trickier than you'd think to calculate, because it actually varies depending on which underlying AI model you are using to power the Codex application or harness, and whether you are working on code stored in the cloud or locally on your machine or servers.

OpenAI’s Developer website underwent several updates today, so we've only reflected the latest pricing structure and offerings below as of Thursday, April at 10:45 pm ET. It notes that for individual users, Codex usage is categorized by “Local Messages” (tasks run on the user’s machine) and “Cloud Tasks” (tasks run on OpenAI’s infrastructure), and those limits share a five-hour rolling window.

It also says additional weekly limits may apply. The current Codex pricing page now shows lower displayed usage ranges than the older version, and it measures Code Reviews in a five-hour window rather than per week. For Pro 5x specifically, OpenAI says the currently shown limits include a temporary 2x usage boost that ends May 31, 2026.

ChatGPT Plus ($20/month)

  • GPT-5.4: 20–100 local messages every 5 hours.

  • GPT-5.4-mini: 60–350 local messages every 5 hours.

  • GPT-5.3-Codex: 30–150 local messages and 10–60 cloud tasks every 5 hours.

  • Code Reviews: 20–50 every 5 hours.

ChatGPT Pro 5x ($100/month)

  • GPT-5.4: 200–1,000 local messages every 5 hours.

  • GPT-5.4-mini: 600–3,500 local messages every 5 hours.

  • GPT-5.3-Codex: 300–1,500 local messages and 100–600 cloud tasks every 5 hours.

  • Code Reviews: 200–500 every 5 hours.

Note: The limits shown for Pro 5x include a temporary 2x usage boost that ends May 31, 2026.

ChatGPT Pro 20x ($200/month)

  • GPT-5.4: 400–2,000 local messages every 5 hours.

  • GPT-5.4-mini: 1,200–7,000 local messages every 5 hours.

  • GPT-5.3-Codex: 600–3,000 local messages and 200–1,200 cloud tasks every 5 hours.

  • Code Reviews: 400–1,000 every 5 hours.

  • Exclusive access: Includes GPT-5.3-Codex-Spark in research preview for ChatGPT Pro users only. OpenAI says it has its own separate usage limit, which may adjust based on demand.

And as OpenAI's Help documentation states:

"The number of Codex messages you can send within these limits varies based on the size and complexity of your coding tasks, and where you execute tasks. Small scripts or simple functions may only consume a fraction of your allowance, while larger codebases, long running tasks, or extended sessions that require Codex to hold more context will use significantly more per message."

The larger strategic implications and context

OpenAI’s sudden move toward the $100 price point and expanded agentic capacity comes amid the unprecedented financial ascent of its chief rival, Anthropic.

Just days ago, Anthropic revealed its annualized run-rate revenue (ARR) has topped $30 billion, surpassing OpenAI's last reported ARR of approximately $24–$25 billion.

This growth has been fueled by the massive adoption of Claude Code and Claude Cowork, products that have set the benchmark for enterprise-grade autonomous coding.

The competitive friction intensified on April 4, 2026, when Anthropic officially blocked Claude subscriptions from being used to provide the intelligence for third-party agentic AI harnesses like OpenClaw.

To be clear, Anthropic Claude models themselves can still be used with OpenClaw, users just must now pay for access to Claude models through Anthropic's application programming interface (API) or extra usage credits, rather than as part of the monthly Claude subscription tiers (which some have likened to an "all-you-can eat" buffet, making the economics challenging for Anthropic when power users and third-party harnesses like OpenClaw consume more than the $20 or $200 monthly user spend on the plans in tokens).

OpenClaw’s creator, Peter Steinberger, was notably hired by OpenAI in February 2026 to lead their personal agent strategy, and has, since joining, actively spoken out against Anthropic's limitations — advising that OpenAI's Codex and models generally don't have the same restrictions as Anthropic is now imposing.

By hiring Steinberger and subsequently launching a Pro tier that provides the high-volume capacity Anthropic recently restricted, OpenAI is effectively courting the displaced OpenClaw community to reclaim the professional developer market.