GPT 5.5 pricing for email 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=500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0300 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 email summarization benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.001200/call (96% less, 84/100 quality).

What drives email summarization cost

Individually cheap, collectively expensive. A single thread is small, but summarization runs across an inbox at volume, so per-call price multiplied by message count is the number that matters, not the cost of any one summary. This is the use case where a fast-tier model and batch processing usually beat a smarter model outright.

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 3,000/500 token split, output accounts for 50% of the $0.0300 per-call cost.

GPT 5.5 quality benchmarks for email summarization

Performance across all task types

GPT 5.5 scores by task type. Email Summarization highlighted.

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 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