GPT 5.6 Sol pricing for document summarization

Quick start

Call GPT 5.6 Sol with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.6-sol",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0600 per call at standard rates
# Input:  $4.00/MTok
# Output: $20.00/MTok

How GPT 5.6 Sol compares on cost

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

Cheapest viable option: GPT 5.6 Luna at $0.003200/call (95% less, 84/100 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 5.6 Sol specifically, that means output tokens cost 5.0x more than input, at $20.00 vs $4.00 per MTok. At this use case’s 10,000/1,000 token split, output accounts for 33% of the $0.0600 per-call cost.

GPT 5.6 Sol quality benchmarks for document summarization

Performance across all task types

GPT 5.6 Sol scores by task type. Document 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 5.6 Sol

Other models from GPT

You can compare GPT 5.6 Sol 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