GPT-6.1 Terra in OpenAI Codex
OpenAI - Versatile
In OpenAI Codex, GPT-6.1 Terra meters at 25 credits per 1M input tokens and 125 per 1M output tokens. At $0.04 per credit that is exactly $1.00 and $5.00 per 1M tokens, the same as calling the OpenAI API directly. A typical daily-coding request works out to about 0.3 credits (about $0.01). Verified against OpenAI's Codex rate card on 2026-11-09.
Credit rate card
- Credits / 1M in
- 25
- Credits / 1M cached
- 1.25
- Credits / 1M out
- 125
- Cost per credit
- $0.04
Credits per request
Defined workload baskets, not measured tasks.
| Workload | Credits | Cost | Direct API cost |
|---|---|---|---|
| Short chat turn | 0.2 | $0.01 | $0.01 |
| Daily coding request | 0.3 | $0.01 | $0.01 |
| Agent session step | 1.1 | $0.05 | $0.05 |
At about 0.3 credits per daily-coding request, GPT-6.1 Terra ranks #4 of 9 current-generation models by cost, about 9.8x the cheapest (GPT-6 Luna).
Credit-to-API parity
The implied dollar value of a credit spent on GPT-6.1 Terra, backed out from the direct API rate card divided by the credit rate card. It should land on $0.04 for both input and output.
- Implied $ / credit, input
- $0.04
- Implied $ / credit, output
- $0.04
- Markup at the daily workload
- 0.00%
- Ratio match
- Exact
Input : cached : output ratio in credits is 20 : 1 : 100, versus 20 : 1 : 100 in direct API dollars.