Resets per month
Full resets and banked reset cards, last 7 months.
Usage limits, plan changes, API prices, intelligence scores and speed for ChatGPT, Claude, Grok and Gemini, in one place. Every number links to where it came from and when we checked it.
Bars show each plan's usage relative to that vendor's own 1x baseline. Vendors don't publish absolute message counts, so multiples are not comparable across vendors.
Quota and price changes, newest first. Green means users get more, red means less or pricier.
Every usage-limit reset we can trace to a post by the vendor, mostly Codex resets announced by Tibo (@thsottiaux). Times are when the post went out; your account may update a little later.
Full resets and banked reset cards, last 7 months.
Hour of the announcing post, in your time zone. Posts with unknown time are left out.
Enter your workload to compare monthly API cost, response time, intelligence and value. Click a column to sort.
| Model | Intelligence | Tokens/s | $ in / out per 1M | Monthly cost | Sec / reply | IQ per $ task |
|---|
Monthly cost = (input × in-price + output × out-price) × requests × days, list price, no caching or batch discounts. Sec / reply = output tokens ÷ measured tokens/s (excludes time to first token). IQ per $ task = Intelligence Index ÷ Artificial Analysis cost per task.
Pick up to four models to compare intelligence, speed, cost efficiency, how far your budget goes, and context size. Each axis is scored 0–100 against the best model in the list. The workload comes from the calculator above.
Up to 4 models at once.
Scoring: Intelligence and Speed are divided by the top value. Cost efficiency and Budget reach use a log scale, so 100 is the cheapest model and 0 the most expensive. Budget reach = budget ÷ API cost per request with your calculator workload. A model without a verified API price scores 0 on Budget reach and shows n/a.
The same model at different reasoning efforts: how much smarter each step gets, what it costs, and how many tokens it really burns. Benchmarks come from Artificial Analysis; real usage comes from people who share QuotaPilot data.
Real measurements from people who use these plans every day: speed, how good a model feels, how much a plan really holds, and when limits hit or reset. Rows appear once at least 3 people report the same model or plan in the last 7 days.
Median output tokens/s from real sessions, bar shows the middle 50%.
Average score out of 10. A warning shows when 30% or more of reports say the model got worse.
Estimated tokens per window: tokens used ÷ share of the limit used. $ is the same tokens at API list price.
Reports in the last 30 days by hour of day, in your time zone.
QuotaPilot is a free, open-source quota monitor for Codex, Claude Code, Gemini CLI and Grok CLI. It reads your local usage and shares nothing by default. Run the share command to see exactly which anonymous numbers it would send, and send them only if you agree.
# macOS brew install --cask dwagwd/tap/quotapilot # preview, then confirm quotapilot shareQuotaPilot on GitHub
Takes under a minute. Reports are anonymous: no account, and each browser counts at most a few times a day.
Links go to each vendor's official pricing page.
Some links may be affiliate links. We may earn a commission at no extra cost to you.
We re-check every source by hand and update the date next to it. If an official page cannot be read, we mark the number as Reported.
Not affiliated with OpenAI, Anthropic, Google or xAI. Limits change without notice; check your account's usage page before you rely on a number. Nothing here is financial advice.