GPT 5.6 Terra pricing for blog writing

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=8000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0980 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 blog writing benchmarks. Hover for details.

Cheapest viable option: Gemini 3.6 Flash at $0.0307/call (69% less, 76/100 quality).

What drives blog writing cost

The most output-heavy use case tracked here. A brief of a few hundred tokens produces an article of several thousand, so output pricing is essentially the entire cost and input rate is noise. Generating section by section rather than whole-article gives you more control over both quality and spend, at the cost of more calls.

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 1,000/8,000 token split, output accounts for 98% of the $0.0980 per-call cost.

GPT 5.6 Terra quality benchmarks for blog writing

Performance across all task types

GPT 5.6 Terra scores by task type. Blog Writing 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