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OpenAI: GPT-4o (2024-11-20) API Pricing

OpenAI: GPT-4o (2024-11-20) costs $2.50 per 1M input tokens and $10.00 per 1M output tokens (cache reads: $1.25). Context window: 128K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 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.

Intelligence & capability
via Artificial Analysis
8.4
Intelligence index · top 84% of 288 scored
$4.375
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$2.50
Output / 1M tokens
$10.00
Context window
128K
Max output
16K

Token economics

Token typePricevs base input
Standard input$2.50—
Cache read$1.25−50%
Output$10.00—

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

Knowledge cutoff
2023-10-31

Training data ends here — newer events require retrieval or web search.

What would OpenAI: GPT-4o (2024-11-20) cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$60.00
Coding agent5,0008,000 / 2,000$200.00
RAG pipeline30,0004,000 / 500$450.00
Doc summarizer2,00020,000 / 1,000$120.00

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

About OpenAI: GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

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Frequently asked questions

How much does OpenAI: GPT-4o (2024-11-20) cost?

OpenAI: GPT-4o (2024-11-20) costs $2.50 per 1M input tokens and $10.00 per 1M output tokens; cached input tokens cost $1.25 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 16K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $1.25/1M, about 50% 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