GPT 5.6 Terra pricing for content moderation

Quick start

Call GPT 5.6 Terra with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.6-terra",
    max_tokens=100,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.002200 per call at standard rates
# Input:  $2.00/MTok
# Output: $12.00/MTok

How GPT 5.6 Terra compares on cost

Per-call cost for all models scoring 50+ on content moderation benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.000220/call (90% less, 91/100 quality).

What drives content moderation cost

The highest-volume, lowest-per-call task on this list: short input, a label out. Per-call cost is nearly negligible, which means total cost is a function of throughput alone. At moderation volume the difference between tiers is the entire budget, and a fast-tier model handling the clear cases with escalation for the ambiguous ones beats one model handling everything.

For GPT 5.6 Terra specifically, that means output tokens cost 6.0x more than input, at $12.00 vs $2.00 per MTok. At this use case’s 500/100 token split, output accounts for 55% of the $0.002200 per-call cost.

GPT 5.6 Terra quality benchmarks for content moderation

Performance across all task types

GPT 5.6 Terra scores by task type. Content Moderation highlighted.

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

About GPT 5.6 Terra

Other models from GPT

You can compare GPT 5.6 Terra head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions