GPT-5.4 Image 2 vs GPT-Realtime-2.1

Prices checked

GPT-5.4 Image 2 and GPT-Realtime-2.1 split the 5 rounds this table counts: the maker's two prices, the cheapest price, the maker's blended price and context. The weighting you pick decides the rest.

OpenAI

GPT-5.4 Image 2

272k context · reads images

$9.75/M tokens

OpenAI's own price · $5.70 per 1,000 pages

OpenAI

GPT-Realtime-2.1

128k context · tool calling · reads images

$9/M tokens

OpenAI's own price · $3.84 per 1,000 pages

Maker's price in (lower wins)

$8/M

$4/M

Maker's price out (lower wins)

$15/M

$24/M

Cheapest price (lower wins)

none below the maker

none below the maker

Maker's price, blended (lower wins)

$9.75/M

$9/M

Cost per 1,000 pages (lower wins)

$5.70

$3.84

Context

272k tokens

128k tokens

Open weights

not published

no

Tool calling

no

yes

Structured output

yes

no

Reads images

yes

yes

Reasoning

yes

yes

Released

21 Apr 2026

6 Jul 2026

Providers selling it

4

4

Price we measure against

the maker's own

the maker's own

Trains on your prompts (no is better)

no provider to check

no provider to check

Providers selling both · 1

  • OpenAI$9.75 / $9

GPT-5.4 Image 2, then GPT-Realtime-2.1, per million tokens.

Go further

Add a third or fourth model, or change the weighting, in the tool.

Frequently asked

Which is cheaper, GPT-5.4 Image 2 or GPT-Realtime-2.1?
GPT-Realtime-2.1, at $9 per million tokens against $9.75 for GPT-5.4 Image 2, blended 3 in : 1 out, read on 31 Oct 2026.
Where is each one cheapest?
GPT-5.4 Image 2: nobody sells it below the maker's own price with a stated reason, so $9.75 is the number to beat. GPT-Realtime-2.1: nobody sells it below the maker's own price with a stated reason, so $9 is the number to beat.
Can I buy both from one provider?
Yes. One provider sells both: OpenAI. The cheapest of them for the two together is OpenAI.
Which holds more context?
GPT-5.4 Image 2, at 272k tokens against 128k.

Prices exclude tax, read 31 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.

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