You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
My 5-hour session quota jumped from ~20% to 65% within a handful of message turns. ccusage data shows modest actual token consumption that does not justify consuming 65% of my session window.
Evidence
ccusage output (2026-02-26):
Date
Models
Calls
Input
Output
Cache Creation
Cache Read
2026-02-26
haiku-4-5, opus-4-6, sonnet-4-6
1,300
9,421
~2,150K
~29,696K
~31,857K
Dashboard (claude.ai):
Current session: 65% used
Resets in 30 min
The numbers do not add up. How does ~9,421 input tokens and ~2.15M output tokens translate to 65% of a $100/month Max plan's 5-hour window? Where is the remaining 45% being attributed to?
This directly corroborates the findings in #22435, which demonstrated a 1,500x variance in tokens-per-1%-quota (2,517 to 18,531,900) through 5,396 mitmproxy samples. The quota accounting system is either broken or deliberately opaque.
This is not an isolated incident
This exact problem has been reported and documented for over two months across numerous issues:
Community-estimated ~60% reduction in effective token limits (The Register)
The automatic upgrade to Opus 4.6, which benchmarks show generates 3x more tokens for identical tasks — effectively a stealth limit reduction without touching the "rate limit" number
Saying "limits haven't changed" while deploying a model that consumes 3x more tokens against unchanged limits is a limit reduction. This is not a technical nuance — it's basic arithmetic.
A word on "Anthropic"
The name "Anthropic" derives from the Greek anthropikos — "of or pertaining to humanity." The company's stated mission is to build AI that is "safe, beneficial, and understandable."
What is neither beneficial nor understandable:
Charging $100–200/month (Max plan) for a service with undisclosed, non-deterministic quota accounting
Ignoring months of documented evidence from paying customers, including mitmproxy captures, JSONL billing analysis, and API header data
Marking legitimate bug reports as "stale" instead of addressing them
Auto-upgrading users to a 3x more token-hungry model without disclosure or consent, then claiming "limits haven't changed"
Silently changing billing behavior in patch updates (v2.1.51) without changelog entries
Moderating criticism on Discord while issues pile up on GitHub unanswered
When developers present 5,396 API samples proving quota inconsistency and the response is silence — or worse, dismissal as "resumption of normal limits" — this is not a company living up to its name. This is consumer deception.
Users in #22435 have already outlined potential violations under UCC 2-313, FTC Act Section 5, and California Business & Professions Code 17200. The legal exposure grows with every week of silence.
What we need — not want, need
Publish the quota consumption formula. If quota is based on something other than raw token count, disclose it. Today.
Explain the variance. Why does 1% quota cost 2,517 tokens in one session and 18,531,900 in another?
Real-time quota visibility in Claude Code CLI — not a hidden settings page on claude.ai
Opt-in model upgrades. Do not auto-upgrade to models that burn quota 3x faster
Acknowledge the problem exists. Silence is not a strategy. It is a choice, and it speaks louder than any PR statement.
Environment
Problem
My 5-hour session quota jumped from ~20% to 65% within a handful of message turns.
ccusagedata shows modest actual token consumption that does not justify consuming 65% of my session window.Evidence
ccusage output (2026-02-26):
Dashboard (claude.ai):
The numbers do not add up. How does ~9,421 input tokens and ~2.15M output tokens translate to 65% of a $100/month Max plan's 5-hour window? Where is the remaining 45% being attributed to?
This directly corroborates the findings in #22435, which demonstrated a 1,500x variance in tokens-per-1%-quota (2,517 to 18,531,900) through 5,396 mitmproxy samples. The quota accounting system is either broken or deliberately opaque.
This is not an isolated incident
This exact problem has been reported and documented for over two months across numerous issues:
The pattern is clear: hundreds of users, months of data, zero meaningful response.
The only official statement
The sole response from Anthropic (ThariqS, Jan 26) was:
This is contradicted by:
Saying "limits haven't changed" while deploying a model that consumes 3x more tokens against unchanged limits is a limit reduction. This is not a technical nuance — it's basic arithmetic.
A word on "Anthropic"
The name "Anthropic" derives from the Greek anthropikos — "of or pertaining to humanity." The company's stated mission is to build AI that is "safe, beneficial, and understandable."
What is neither beneficial nor understandable:
When developers present 5,396 API samples proving quota inconsistency and the response is silence — or worse, dismissal as "resumption of normal limits" — this is not a company living up to its name. This is consumer deception.
Users in #22435 have already outlined potential violations under UCC 2-313, FTC Act Section 5, and California Business & Professions Code 17200. The legal exposure grows with every week of silence.
What we need — not want, need
Related Issues
#16157 #17084 #20767 #22435 #22439 #22876 #23706 #27310 #28927