OpenAI introduces ChatGPT Pro $100 tier with 5X usage limits for Codex compared to Plus

· Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

OpenAI introduced a new $100 ChatGPT Pro subscription tier on April 9, 2026, designed to attract developers and "vibe coders" by offering five times the usage limits for its Codex agentic coding application compared to the existing $20 monthly Plus plan. This new tier joins OpenAI's existing free, Go ($8), Plus ($20), and Pro ($200) individual plans, as well as Edu, Business ($25 per user), and Enterprise organizational plans. The company also adjusted Codex usage for ChatGPT Plus, rebalancing it for more frequent, shorter sessions. The usage limits for the $100 Pro plan, which include a temporary 2x boost until May 31, 2026, vary by underlying AI model (GPT-5.4, GPT-5.4-mini, GPT-5.3-Codex) and task type (local messages, cloud tasks, code reviews), all measured within a five-hour rolling window.

Key takeaway

For CTOs and VP of Engineering evaluating AI coding assistants, the new $100 ChatGPT Pro tier offers significantly higher Codex usage, potentially making it a cost-effective alternative if your teams require extensive agentic coding capabilities. You should assess your current and projected Codex usage against the detailed limits for GPT-5.4, GPT-5.4-mini, and GPT-5.3-Codex to determine if this mid-range plan optimizes your operational costs, especially considering the temporary 2x usage boost until May 31, 2026.

Key insights

OpenAI's new $100 ChatGPT Pro tier targets developers with increased Codex usage amid intense competition.

Principles

Method

OpenAI categorizes Codex usage by "Local Messages" and "Cloud Tasks" within a five-hour rolling window, with additional weekly limits and varying allowances based on task complexity.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Engineer, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.