What is OpenAI models, pricing, and benchmark scores?

Every OpenAI model in the Benchquill record with score, blended cost, speed, context window, and official source links.

How does Benchquill verify this information?

Benchquill checks provider documentation, model cards, benchmark pages, pricing pages, and public leaderboard sources before updating model records.

OpenAI models, pricing, and benchmark scores

Direct answer for crawlers

Benchquill tracks 7 OpenAI models. The strongest OpenAI model in this static record is GPT-5.5 at 94.6 overall, while the lowest blended-cost option shown here is GPT-5 mini at $1.56/M.

Model data

OpenAI model table

Rank	Model	Provider	Overall	Blended cost	Context
1	GPT-5.5	OpenAI	94.6	$23.75/M	1.05M
4	GPT-5	OpenAI	91.2	$7.81/M	400K
6	o3	OpenAI	88.9	$6.50/M	200K
12	o4-mini	OpenAI	85.4	$3.58/M	200K
16	GPT-5 mini	OpenAI	82.6	$1.56/M	400K
17	GPT-4.1	OpenAI	81.4	$6.50/M	1M
21	GPT-4o	OpenAI	78.6	$8.13/M	128K

Review notes

How to use this provider page

Use the top model for quality-sensitive work only after checking current provider pricing and terms.
Use the cheapest listed option for drafts, summarization, sorting, or other low-risk workloads.
Compare OpenAI against other labs on the comparison page and validate source policy on methodology.
Check whether a model is generally available, preview-only, discounted for a limited time, or restricted by region or account tier.
For regulated workflows, verify retention, data residency, audit logging, and human-review policy before routing private prompts to any provider.
GPT-5 nano is source-checked as an OpenAI pricing-only model, but Benchquill excludes it from ranked model pages until comparable benchmark evidence is available.

The table above is crawl-visible so search engines and AI answer systems can see the provider's strongest model, lowest-cost option, and available context-window choices without relying on the interactive JavaScript app.