ChatGPT Merges Usage Quotas Starting in December: How Should Enterprise Teams Respond?

OpenAI updated its Help Center page on October 31, announcing that starting in December, ChatGPT and the AI coding tool Codex will share a single usage pool across the Plus, Pro, and Business plans. This news comes from an explainer video by the YouTube channel "Krajobraz AI"—the video itself is AI-generated, with facts manually verified. For small teams accustomed to covering a full day's work with a single subscription account, this change is worth paying attention to in advance.

The Core of the Change: One Quota Pool, Billed by Token

Currently, ChatGPT and Codex each have independent usage limits, and users can use both sets of quotas separately within a day. After the change, the two will "share one plate": the stronger the model you choose and the more complex the task, the faster the quota is consumed.

According to the video, which cites OpenAI's Help Center, usage will be measured in tokens (the basic unit of text that models read and write). One key detail: Instant fast mode does not count toward the quota at all, while stronger reasoning models and more complex tasks consume more tokens.

OpenAI has not announced a specific effective date, nor has it given the exact size of the quota pool for each plan. The company only stated that most users should not need to wait for quota resets more often than they do now.

The 5-Hour Window and the Pro Exception

The Plus and Business plans retain the 5-hour usage window limit; the Pro plan has no 5-hour limit but may have a weekly cap. Users can view their current quota status and reset time in the "Usage" tab in settings. Once the quota is exhausted, users must wait for a reset, upgrade their plan, or purchase additional credits.

What is a token? In large language models (LLMs), a token is the smallest processing unit of text that the model reads and writes, and it is usually not equal to a single Chinese character or English word. As a rough estimate, one English word is about 1–2 tokens, and one Chinese character is about 1–2 tokens, depending on the tokenizer. A model's context window, billing price, and usage limits are usually all measured in tokens. Token consumption is positively correlated with input length, output length, and task complexity. For coding tasks, Codex needs to read code context and generate multiple rounds of modifications, so token consumption is often far higher than in ordinary conversations. Understanding token measurement helps explain why "stronger models + more complex tasks" consume quota faster: reasoning models generate internal reasoning tokens before producing an answer, and these are usually counted toward usage as well.

What is the difference between Instant mode and reasoning models? ChatGPT's Instant mode corresponds to low-latency, lightweight models, suitable for simple tasks such as quick Q&A, rewriting emails, and translation, and the official documentation states that it does not count toward the quota. Reasoning models (such as the o series or options labeled as reasoning in the GPT series) perform multiple steps of internal reasoning before generating the final answer, producing higher-quality output but consuming more tokens and computing resources. The core logic of tiered model use is: leave the quota-free Instant mode for high-frequency, low-difficulty tasks, and reserve the limited quota for high-value scenarios such as contract analysis, code debugging, and deep reasoning. This strategy is especially important after the quota pools are merged, because a single high-intensity reasoning or Codex session may significantly reduce the remaining quota for the day.

The 5-hour window and quota reset mechanism: ChatGPT imposes a rolling 5-hour usage window limit on the Plus and Business plans, meaning that after reaching the cap within a 5-hour cycle, users must wait for the window to roll over before continuing to use high-consumption features. The Pro plan removes the 5-hour window but may have a weekly cap to limit extremely frequent use. After the quota pools are merged, both ChatGPT and Codex consumption count toward the same pool, and the reset time can be viewed in the "Usage" tab in settings. Options after the quota is exhausted include waiting for a reset, upgrading the plan, or purchasing additional credits. Because OpenAI has not disclosed the specific size of each plan's quota pool, users can currently only observe consumption rates through actual use and then decide whether to purchase credits.

Why Small Teams Are Hit the Hardest

The real reason this news has attracted attention is not the technical details, but the mismatch between usage habits and billing structure. The video's author, Marcin, gives a typical scenario: a small team uses one subscription account to cover a full day's work—writing quotes and emails in the morning, using reasoning mode for analysis in the afternoon, and having someone use Codex to fix the website in the evening.

Under the old structure, ChatGPT and Codex quotas did not interfere with each other; under the new structure, all these tasks are paid for from the same "pocket." If the quota runs out midway through the day, a quote waiting for a client may have to wait until the quota resets.

On the same day the page was updated, a petition appeared on OpenAI's official forum asking to retain separate quotas. Developers' concerns are concrete: one afternoon of high-intensity Codex use could consume the day's ChatGPT quota as well.

A Compliance Issue That Is Often Overlooked

The second point mentioned in the video may be more important than the quota itself: OpenAI's terms of service do not allow account sharing in the first place. But in reality, it is quite common for small teams to share a single subscription.

Starting in December, teams that share accounts will not only face compliance risks but will also directly experience the consequences of quotas crowding each other out. The Business plan provides an independent seat for each member, which in small-team scenarios actually becomes the more practical choice.

Three Things You Can Do Right Now

The changes do not take effect until December, and the specific numbers have not yet been announced, so there is no need to panic—but you can adjust usage habits in advance. The video offers three suggestions:

First, clarify account ownership. One account per person, avoiding multiple people sharing one subscription and consuming each other's quotas, while also avoiding terms-of-service risk.

Second, use models in tiers. Switch simple tasks such as editing emails and translation to Instant mode, which does not consume quota; reserve strong models for tasks that truly need them, such as contract analysis and deep reasoning.

Third, observe before deciding. After the changes take effect in December, check the "Usage" tab for a week to confirm the actual consumption level, and then decide whether to purchase credits or upgrade the plan.

The video also offers a test you can do immediately: open ChatGPT and look at the model currently selected at the top of the window. If you are using the strongest model for all tasks, the next time you encounter a simple question, switch to Instant and compare the answers—if you cannot see a difference, keep using Instant.

Information Gaps and Items to Watch

To be honest, several key pieces of information about this change remain undisclosed: the exact effective date, the size of each plan's quota pool, and the conversion relationship between token measurement and actual tasks. This means that any current judgment about whether the quota is "enough" can only be qualitative.

For small teams that rely on a single subscription to run daily operations, it is advisable to treat December as an observation period: look at usage first, then discuss budget. This adjustment also reminds people that betting the entire workflow on a consumer-grade subscription is inherently structurally fragile.

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The core facts in this article come from an explainer video by the YouTube channel Krajobraz AI, which produces AI-generated content with manual verification. The OpenAI policy details cited in this article all come from the video's paraphrase of the Help Center page, and readers are advised to refer to OpenAI's official page for accuracy.

One-line Summary

Starting in December, OpenAI will make ChatGPT and Codex share the same token usage pool across the Plus, Pro, and Business plans.

Paragraph Summary

OpenAI announced that starting in December, ChatGPT and the AI coding tool Codex will share a single usage pool across the Plus, Pro, and Business plans, measured in tokens, with Instant fast mode not counting toward the quota. Plus and Business retain the 5-hour window limit, while Pro may have a weekly cap. OpenAI has not disclosed the exact effective date or the size of each plan's quota pool, only stating that most users should not need to wait for resets more often than they do now. Those most affected are small teams sharing a single subscription account: under the old structure the two quotas did not interfere with each other, but under the new structure all tasks are paid from the same pocket, and account sharing itself violates the terms of service. The video recommends one account per person, using Instant for simple tasks, and observing usage for a week after the December rollout before deciding whether to upgrade or purchase credits. Developers have already petitioned on the forum to retain separate quotas.