GPT 5.5 pricing for document summarization

Quick start

Call GPT 5.5 with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.5",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0800 per call at standard rates
# Input:  $5.00/MTok
# Output: $30.00/MTok

How GPT 5.5 compares on cost

Per-call cost for all models scoring 50+ on document summarization benchmarks. Hover for details.

Cheapest viable option: Gemini 3 Flash at $0.008000/call (90% less, 83/100 quality).

What drives document summarization cost

The archetypal input-heavy task: the entire source document goes in, a short summary comes back. Cost is almost entirely a function of document length, and the output rate barely registers. Long documents can cross a provider's long-context threshold, where the whole request is re-priced at a multiple. Check the threshold before feeding in a hundred-page PDF as one call.

For GPT 5.5 specifically, that means output tokens cost 6.0x more than input, at $30.00 vs $5.00 per MTok. At this use case’s 10,000/1,000 token split, output accounts for 38% of the $0.0800 per-call cost.

GPT 5.5 quality benchmarks for document summarization

Performance across all task types

GPT 5.5 scores by task type. Document Summarization 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 5.5

Other models from GPT

You can compare GPT 5.5 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