Gemini 2.5 Computer Use Preview 10-2025 vs GPT-5.1-Codex

Prices checked

GPT-5.1-Codex takes 2 of 5 rounds against Gemini 2.5 Computer Use Preview 10-2025. It is also the cheaper of the two to run, at $3.08 per million tokens against $3.44.

Google

Gemini 2.5 Computer Use Preview 10-2025

128k context · tool calling · reads images

$3.44/M tokens

Google's own price · $1.35 per 1,000 pages

OpenAIWins 2 rounds

GPT-5.1-Codex

400k context · tool calling · reads images

$3.08/M tokens

Cheapest price, at Poe · $1.20 per 1,000 pages

View at Poe

Maker's price in (lower wins)

$1.25/M

$1.25/M

Maker's price out (lower wins)

$10/M

$10/M

Cheapest price (lower wins)

none below the maker

$3.08/M at Poe

Maker's price, blended (lower wins)

$3.44/M

$3.44/M

Cost per 1,000 pages (lower wins)

$1.35

$1.20

Context

128k tokens

400k tokens

Open weights

no

not published

Tool calling

yes

yes

Structured output

not published

yes

Reads images

yes

yes

Reasoning

yes

yes

Released

7 Oct 2025

13 Nov 2025

Providers selling it

3

19

Price we measure against

the maker's own

OpenRouter

Trains on your prompts (no is better)

no provider to check

not published

Providers selling both · 0

No provider we read sells both, so running the two means two accounts.

Go further

Frequently asked

Which is cheaper, Gemini 2.5 Computer Use Preview 10-2025 or GPT-5.1-Codex?
GPT-5.1-Codex, at $3.08 per million tokens against $3.44 for Gemini 2.5 Computer Use Preview 10-2025, blended 3 in : 1 out, read on 31 Oct 2026.
Where is each one cheapest?
Gemini 2.5 Computer Use Preview 10-2025: nobody sells it below the maker's own price with a stated reason, so $3.44 is the number to beat. GPT-5.1-Codex: $3.08 at Poe.
Can I buy both from one provider?
No provider we read sells both, so running the two means two accounts and two bills.
Which holds more context?
GPT-5.1-Codex, at 400k 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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