GPT 6 Sol pricing for email summarization

Quick start

Call GPT 6 Sol with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-6-sol",
    max_tokens=500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0110 per call at standard rates
# Input:  $2.00/MTok
# Output: $10.00/MTok

How GPT 6 Sol 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 (89% 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 6 Sol specifically, that means output tokens cost 5.0x more than input, at $10.00 vs $2.00 per MTok. At this use case’s 3,000/500 token split, output accounts for 45% of the $0.0110 per-call cost.

GPT 6 Sol quality benchmarks for email summarization

Benchmark data for email summarization is pending for GPT 6 Sol. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 6 Sol scores by task type. Email Summarization highlighted.

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

About GPT 6 Sol

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from GPT

You can compare GPT 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