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AI & Machine Learning

OpenAI Unveils $500 ChatGPT Pro Max Plan with Faster Codex Capabilities

Laptop on a neutral surface with coding-related items in the background.

OpenAI appears to be preparing a new ChatGPT subscription called Pro Max that could cost $500 per month, and in some local displays shows as $600 after taxes or VAT.

ChatGPT Pro Max listing and advertised features

TestingCatalog detected the unannounced Pro Max tier appearing inside ChatGPT’s subscription interface alongside Plus and existing Pro options. One version of the page lists Pro Max at $500 per month; another shows $600 when local taxes or VAT are included. The listing’s description highlights “Fastest Work and Codex,” access to the company’s “most capable frontier models,” “maximum memory,” 100 GB of file storage, and “early access to new features.” The report also notes that the $200 Pro plan currently promises early access, leaving unclear whether that capability will remain available at lower tiers.

Pricing context and current availability constraints

ChatGPT already offers Pro tiers at $100 and $200 per month, but the report points out that new sign-ups and upgrades to the ChatGPT Pro $200 plan have been temporarily paused since September 10. OpenAI has not publicly announced Pro Max, and the company has not provided details on when the new tier might begin rolling out or what exact usage limits—or expanded allowances—the new plan would include.

Cerebras, “Fastest Work and Codex,” and hardware clues

The most notable phrase in the listing—“Fastest Work and Codex”—has prompted speculation about hardware choices. The report observes that OpenAI has been deploying Cerebras hardware for ultra-fast inference and summarizes past Cerebras-related performance demonstrations: Codex-Spark launched on Cerebras at more than 1,000 tokens per second, and OpenAI later demonstrated GPT-5.6 Sol running at up to 750 output tokens per second in a Cerebras-powered Ultrafast mode. The article cautions that while Cerebras is a plausible candidate to power at least some of Pro Max’s faster Work and Codex experience, neither OpenAI nor Cerebras has confirmed a connection between the new listing and Cerebras hardware.

What this means for power users, enterprises, and developers

  • Power users and developers: The report says that many OpenAI users—particularly power users—have been requesting more usage than the existing $200 plan offers. A $500 tier with “Fastest Work and Codex” and larger storage could address those requests if usage limits are increased substantially.
  • Enterprises and procurement leaders: The inclusion of “most capable frontier models,” maximum memory, and 100 GB of file storage positions Pro Max as a higher-capacity offering that procurement teams might evaluate for heavier workloads—but the paused sign-ups for the $200 plan and the lack of published limits complicate immediate procurement decisions.
  • Developers relying on Codex: The explicit reference to Codex and the “Fastest” descriptor will be watched closely by developers using code-focused models, who may expect materially faster inference or higher throughput if the tier leverages specialized inference hardware.

Outstanding unknowns and the next observable steps

Key facts remain unsettled. OpenAI has not announced Pro Max, and the company has not disclosed rollout timing, precise usage limits, or whether features such as early access will be restricted to the new tier. The reported appearance of Pro Max in the subscription interface and the pricing displays are the primary public signals so far. Likewise, the connection to Cerebras hardware is plausible given prior demonstrations of high token‑per‑second performance, but that link has not been confirmed by OpenAI or Cerebras.

For now, the listing is a clear signal that OpenAI’s product lineup may be moving toward a higher-priced, higher-performance tier aimed at power users and heavier workloads. Whether Pro Max will promptly materialize, how it will be priced in different markets, and whether it will change the distribution of features across lower tiers are questions that the company will need to answer publicly.

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