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OpenAI: GPT Sol Latest API Pricing

OpenAI: GPT Sol Latest costs $2.00 per 1M input tokens and $10.00 per 1M output tokens (cache reads: $0.100). Context window: 1.1M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
OpenAI: GPT Luna Latest
$0.100 in / $0.500 out

Cheapest ~openai model — 95% less per month

Price history
2026-09-12 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$2.00
Output / 1M tokens
$10.00
Context window
1.1M
Max output
128K

Token economics

Token typePricevs base input
Standard input$2.00—
Cache read$0.100−95%
Cache write (5m)$2.50+25%
Output$10.00—
Web search tool$10/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:maxxhighhighmediumlow

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would OpenAI: GPT Sol Latest cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$56.00
Coding agent5,0008,000 / 2,000$180.00
RAG pipeline30,0004,000 / 500$390.00
Doc summarizer2,00020,000 / 1,000$100.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About OpenAI: GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

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Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does OpenAI: GPT Sol Latest cost?

OpenAI: GPT Sol Latest costs $2.00 per 1M input tokens and $10.00 per 1M output tokens; cached input tokens cost $0.100 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1.1M tokens, with up to 128K output tokens per response. That's roughly 1313 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.100/1M, about 95% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources