GPT 5.6 Sol pricing for unit test generation

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=5000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.1120 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 unit test generation benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0560/call (50% less, 93/100 quality).

What drives unit test generation cost

Test generation is the rare code task where input and output are both large: you send the function under test plus its dependencies, and get back a full suite of cases. Expect 3K in, 5K out. Because the source file rarely changes between runs, cache reads pay off faster here than in almost any other use case: the same file gets resent every time you regenerate a suite.

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 3,000/5,000 token split, output accounts for 89% of the $0.1120 per-call cost.

GPT 5.6 Sol quality benchmarks for unit test generation

Performance across all task types

GPT 5.6 Sol scores by task type. Unit Test Generation 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