GPT-5.2 vs Nova Premier 1.0

Prices checked

GPT-5.2 takes 3 of 5 rounds against Nova Premier 1.0. It is also the cheaper of the two to run, at $4.38 per million tokens against $5.

OpenAIWins 3 rounds

GPT-5.2

400k context · tool calling · reads images

$4.38/M tokens

Cheapest price, at Poe · $1.72 per 1,000 pages

View at Poe
Amazon

Nova Premier 1.0

1M context · tool calling · reads images

$5/M tokens

OpenRouter's own price · $2.25 per 1,000 pages

Maker's price in (lower wins)

$1.75/M

$2.50/M

Maker's price out (lower wins)

$14/M

$12.50/M

Cheapest price (lower wins)

$4.38/M at Poe

none below the maker

Maker's price, blended (lower wins)

$4.81/M

$5/M

Cost per 1,000 pages (lower wins)

$1.72

$2.25

Context

400k tokens

1M tokens

Open weights

no

not published

Tool calling

yes

yes

Structured output

yes

no

Reads images

yes

yes

Reasoning

yes

no

Released

11 Dec 2025

31 Oct 2025

Providers selling it

37

4

Price we measure against

the maker's own

OpenRouter

Trains on your prompts (no is better)

not published

no provider to check

Providers selling both · 3

  • Kilo Gateway$4.81 / $5
  • Nous Portal$4.81 / $5
  • OpenRouter$4.81 / $5

GPT-5.2, then Nova Premier 1.0, per million tokens.

Go further

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

Frequently asked

Which is cheaper, GPT-5.2 or Nova Premier 1.0?
GPT-5.2, at $4.38 per million tokens against $5 for Nova Premier 1.0, blended 3 in : 1 out, read on 31 Oct 2026.
Where is each one cheapest?
GPT-5.2: $4.38 at Poe. Nova Premier 1.0: nobody sells it below OpenRouter's own price with a stated reason, so $5 is the number to beat.
Can I buy both from one provider?
Yes. 3 providers sell both: Kilo Gateway, Nous Portal, OpenRouter. The cheapest of them for the two together is Kilo Gateway.
Which holds more context?
Nova Premier 1.0, at 1M tokens against 400k.

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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