GPT 5.6 Terra pricing for api generation

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=6000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0780 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 api generation benchmarks. Hover for details.

Cheapest viable option: Claude Haiku 4.5 at $0.0330/call (58% less, 72/100 quality).

What drives api generation cost

Endpoint generation is the most output-heavy code task tracked here: 3K in for the spec, 6K out for handlers, types, validation, and error paths. Output pricing is therefore the whole ballgame, and the gap between a flagship and a mid-tier model at 6K output tokens compounds fast across a large API surface. Generating one resource at a time costs less than one giant multi-resource prompt.

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 3,000/6,000 token split, output accounts for 92% of the $0.0780 per-call cost.

GPT 5.6 Terra quality benchmarks for api generation

Performance across all task types

GPT 5.6 Terra scores by task type. API Generation 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