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How to pace your Claude subscription to survive the week

My Claude weekly limit ran out on day 3 one week and lasted all seven days the next. What changed: a simple wait rule for the strongest model, and the cheaper model doing more of the work, with the real usage charts.

3hship3 min read

A 3D wireframe chart of the share of the weekly limit used across seven days: a dashed white even-pace plane, a violet ribbon for this week that climbs fast and reaches 99 percent at the reset, and a red ribbon for last week that hits the limit on day 3 and stops
Contents

The short answer

  • Spend a Claude weekly limit evenly: one seventh a day. Spend it as work arrives and it runs out mid-week.
  • Last week mine ran out on day 3. This week it lasted all seven days.
  • Two changes came in together: new work for the strongest model, Opus 5.5, waits when usage runs ahead, and the cheaper model, Sonnet 5.5, does more of the work.
  • Both are easy to copy. The four steps are at the end.

1. Last week the limit ran out on day 3

A Claude 20x plan has one weekly limit that resets at the same hour every week, and a meter shows how much you have used. An even pace is one seventh a day, about 14.3 points.

Last week I used 68 percent on day 1 and hit the limit about 70 hours in. Nothing was left for the last four days.

Weekly limit used, last week against this week Look at the red line: last week's usage climbed fast and stopped at the limit on day 3. The violet line is this week, and the dashed line is an even pace.

Share of your weekly limit used

Days since the weekly limit last reset

This week's line starts at its first reading, about 12 hours in.

Last week, no pace rule

Ran out on day 3

68% gone after day 1

This week, with the pace rule

Lasted all 7 days

15% used after day 1

See the numbers as a table
Percent of the weekly limit used at the end of each day. The even pace adds one seventh a day.
End ofLast weekThis weekEven pace
Day 168%15%14%
Day 291%34%29%
Day 399%50%43%
Day 4limit reached75%57%
Day 5limit reached84%71%
Day 6limit reached96%86%
Day 7limit reached99%100%

This week it lasted all seven days. These are two different weeks with different work, and I made two changes at once, so I cannot say how much each one did.

2. Change one: make the strongest model wait

Opus 5.5 is the strongest Claude model, and the one I leaned on most. Before a new Opus session starts, a script checks the meter. The new work waits when:

  • usage is more than 5 points ahead of an even pace,
  • the shorter 5-hour limit is at or above 90 percent, or
  • the current rate of use, if kept up, would empty the week early.

Never held: Sonnet sessions, restarts of a session that already exists, and anything I type myself.

When the rule would have said wait Orange blocks are the hours this week when new Opus work would have waited under the 5-point rule.

New Opus work waits New work starts as normal. In total, 115 of the 168 hours were "wait".

This is a replay of the stored meter, not a log of real holds. It shows how often the rule would speak up: 115 of the 168 hours. A wait only delays work, so change two is what kept work moving.

3. Change two: let the cheaper model do more

Sonnet 5.5 is the cheaper model. Six main sessions moved to Sonnet through a restart on day 5, and a written default now keeps Opus for work marked hard.

Which model did the work, last week and this week Each column is one day, split by which model did that day's work. Last week is almost all Opus; this week is mostly Sonnet.

Opus 5.5, the costly model Sonnet 5.5, the cheaper one Others

See the numbers as a table
Cost in US dollars at API list prices, not charges on the flat-rate plan. A token is about three-quarters of a word.
OpusSonnetOthersTokens written
Last week$1,664$0$2522.5 million
This week$1,166$1,348$4853.6 million

Last week Opus did 98.5 percent of the work by cost. This week Sonnet did 52.6 percent and Opus 45.5. The models also wrote 53.6 million tokens this week against 22.5 million last week (a token is about three-quarters of a word), and the limit still lasted. Dollar figures are public price lists, not charges on the plan.

Did the cheaper model make the work worse? I compared how well jobs came back when Opus led the main session and when Sonnet did.

Jobs that came back well, by who led the session Each bar is the share of first jobs handed to a helper session that came back a success, or had to be redone.

Not statistically significant; most of the Sonnet-led packets came from one channel.

Sonnet-led sessions did at least as well, 85.7 percent success against 78.6. That gap is not statistically significant, one project supplied most of the Sonnet-led jobs, and the groups did not get the same work. It supports one narrow thing: nothing says the cheaper model made things worse.

4. What ate the budget

My first guess was a mistake, such as a runaway loop. I priced the sessions of both weeks and found none. Only 6.9 percent of this week and 7.1 percent of the week before counted as avoidable.

The biggest single item was context compaction, when a long chat is summarized to fit: about 17.8 percent of the week, up from 5.4 percent. I did not measure whether that was avoidable.

I also replayed the earlier week with cheaper settings per call. The best set saved 5.9 percent and stretched that week to 3.10 days, far less than pacing did. So I changed when work runs, not how each call is made.

5. Copy it in four steps

  1. Find your meter. Note the weekly percent every day. Without a record there is nothing to pace against.
  2. Draw the even line. One seventh of the limit a day, 14.3 points. Compare the meter to it each morning.
  3. Make the strongest model wait. If you are more than 5 points ahead, hold new work for the strongest model, and let the cheaper one carry on.
  4. Make the strongest model a choice. Start on the cheaper model, and move up only for work you have marked hard.

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