Quick answer
- The pool
- One per account, shared between Claude Code and claude.ai chat
- The meter
- Rolling windows plus longer-period caps; /status shows your position
- Burn rate
- Scales with model tier; Fable 5 fastest, Haiku 4.5 slowest
- Parallel sessions
- All draw from the same pool, 4 agents is roughly 4x burn
- Exact quotas
- Change often, check Anthropic's plan docs for current numbers
The Stable Mechanics
Most pages about Claude Code limits lead with quota figures, and most of those figures are wrong within weeks, because Anthropic tunes them continuously. The underlying architecture, though, has been stable, and understanding it is what actually lets you plan work. Four mechanics do almost all of the explaining.
One pool per account
Rolling windows plus longer caps
Burn scales with the model
Subscription pool vs API metering
Two practical corollaries. First, every parallel session on the account draws from the same pool, so running four agents at once burns it roughly four times as fast, parallelism buys wall-clock time, never capacity. Second, you can always see where you stand: run /status inside Claude Code and it reports your current usage position in-session, no dashboard hunting required.
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Model Burn Rates: The Price Ratio Is the Proxy
Anthropic doesn't publish a per-model "pool cost" table for subscriptions, but the API token prices are the honest public proxy for relative burn, they reflect what each model costs to run. The ratios below are what matter: on a subscription, a Fable 5 session spends your pool in the neighborhood of ten times as fast as the same tokens through Haiku.
| Model | API price (burn proxy) | Relative burn | Route here |
|---|---|---|---|
| Claude Haiku 4.5 | $1 in / $5 out per MTok | ~1x (baseline) | Mechanical edits, triage, sub-agents |
| Claude Sonnet 5 | $3 in / $15 out per MTok | ~3x | Routine features, tests, refactors |
| Claude Opus 4.8 | $5 in / $25 out per MTok | ~5x | Complex multi-file agentic work |
| Claude Fable 5 | $10 in / $50 out per MTok | ~10x | The hardest refactors and long autonomous runs |
Prices verified against vendor docs on July 18, 2026. The takeaway is not "never use Fable", it is that defaulting to a heavy model for routine work is the fastest way to hit a wall mid-week. Which tier earns its burn for which task shape is covered in the best Claude model for coding.
Four Strategies for Working Within the Limits
Once you accept the pool as a budget, stretching it becomes an engineering problem with four good levers, roughly in order of impact.