GPT-5.6 Sol Medium depletes Pro 5-hour usage allowance extremely quickly

Open 💬 3 comments Opened Jul 10, 2026 by Oguz-Yueksel

What version of Codex is running?

Codex desktop app (macOS). Exact build number is not currently visible in the usage dialog.

What subscription do you have?

ChatGPT Pro (€200/month).

Which model were you using?

GPT-5.6 Sol with reasoning effort set to Medium.

What issue are you seeing?

The 5-hour usage allowance is being depleted at an unexpectedly high rate during a very short conversation.

In one short task, the remaining 5-hour allowance dropped from 87% to 76% (11 percentage points). The task consisted mainly of discussing Codex usage limits and performing a small number of GitHub searches. After the initial research, several trivial follow-up messages—without any additional tool calls—each appeared to consume approximately 1 percentage point.

This is especially unexpected because the same user's prior workflow with GPT-5.5 at xhigh reasoning did not show comparable consumption. GPT-5.6 Sol was deliberately used at Medium to reduce usage.

Screenshots were captured showing:

  • 78% remaining, reset at 02:22
  • 76% remaining, reset at 02:22

Steps to reproduce

  1. Use Codex desktop with a ChatGPT Pro subscription.
  2. Select GPT-5.6 Sol and Medium reasoning effort.
  3. Record the remaining 5-hour allowance.
  4. Run a short research conversation involving a few GitHub searches.
  5. Continue with several very short follow-up messages without additional tool calls.
  6. Recheck the usage dialog after each message.

Expected behavior

A short conversation with Medium reasoning should consume a small and predictable portion of the Pro 5-hour allowance. Trivial follow-up messages should not each consume approximately 1 percentage point.

Usage accounting should also expose enough detail to distinguish model multiplier, input/context tokens, cached input, reasoning tokens, and tool-call overhead.

Actual behavior

  • Remaining allowance fell from 87% to 76% during one short task.
  • Even short follow-ups without new tool calls appeared to reduce the allowance by about 1 percentage point each.
  • The UI provides no breakdown explaining the consumption.

Additional information

Possible areas to investigate:

  • GPT-5.6 Sol usage multiplier
  • prompt-cache misses or lack of context reuse
  • repeated charging of the full accumulated tool context
  • reasoning-token accounting
  • incorrect or delayed usage reporting

The contrast with GPT-5.5 xhigh under the same user's normal workflow suggests this is not explained by reasoning effort alone.

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