GPT-5.2 Pro vs GPT-5.4 Pro
Prices checked
GPT-5.2 Pro takes 4 of 5 rounds against GPT-5.4 Pro. It is also the cheaper of the two to run, at $52.50 per million tokens against $61.36.
GPT-5.2 Pro
400k context · tool calling · reads images
$52.50/M tokensCheapest price, at Poe · $20.62 per 1,000 pages
GPT-5.4 Pro
1.1M context · tool calling · reads images
$61.36/M tokensCheapest price, at Poe · $26.18 per 1,000 pages
Maker's price in (lower wins)
$21/M
$30/M
Maker's price out (lower wins)
$168/M
$180/M
Cheapest price (lower wins)
$52.50/M at Poe
$61.36/M at Poe
Maker's price, blended (lower wins)
$57.75/M
$67.50/M
Cost per 1,000 pages (lower wins)
$20.62
$26.18
Context
400k tokens
1.1M tokens
Open weights
no
no
Tool calling
yes
yes
Structured output
no
no
Reads images
yes
yes
Reasoning
yes
yes
Released
11 Dec 2025
5 Mar 2026
Providers selling it
13
23
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
not published
not published
Providers selling both · 13
Poe$52.50 / $61.36
Jiekou$54.86 / $64.13
Eden AI$57.75 / $67.50
FastRouter$57.75 / $67.50
Kilo Gateway$57.75 / $67.50
LLM Gateway$57.75 / $67.50
Nous Portal$57.75 / $67.50
OpenAI$57.75 / $67.50
GPT-5.2 Pro, then GPT-5.4 Pro, per million tokens; the 8 cheapest of 13.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, GPT-5.2 Pro or GPT-5.4 Pro?
- GPT-5.2 Pro, at $52.50 per million tokens against $61.36 for GPT-5.4 Pro, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- GPT-5.2 Pro: $52.50 at Poe. GPT-5.4 Pro: $61.36 at Poe.
- Can I buy both from one provider?
- Yes. 13 providers sell both: Poe, Jiekou, Eden AI, FastRouter, Kilo Gateway, LLM Gateway, and more. The cheapest of them for the two together is Poe.
- Which holds more context?
- GPT-5.4 Pro, at 1.1M 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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