Gemini 3.1 Flash Live Preview vs GPT-5.4 mini
Prices checked
GPT-5.4 mini takes 2 of 5 rounds against Gemini 3.1 Flash Live Preview. It is also the cheaper of the two to run, at $1.53 per million tokens against $1.69.
Gemini 3.1 Flash Live Preview
131k context · tool calling · reads images
$1.69/M tokensGoogle's own price · $0.72 per 1,000 pages
GPT-5.4 mini
400k context · tool calling · reads images
$1.53/M tokensCheapest price, at Poe · $0.65 per 1,000 pages
Maker's price in (lower wins)
$0.75/M
$0.75/M
Maker's price out (lower wins)
$4.50/M
$4.50/M
Cheapest price (lower wins)
none below the maker
$1.53/M at Poe
Maker's price, blended (lower wins)
$1.69/M
$1.69/M
Cost per 1,000 pages (lower wins)
$0.72
$0.65
Context
131k tokens
400k tokens
Open weights
no
no
Tool calling
yes
yes
Structured output
no
yes
Reads images
yes
yes
Reasoning
yes
yes
Released
26 Mar 2026
17 Mar 2026
Providers selling it
4
41
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
no provider to check
not published
Providers selling both · 2
LLM Gateway$1.69 / $1.69
LLMTR$1.69 / $1.69
Gemini 3.1 Flash Live Preview, then GPT-5.4 mini, per million tokens.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, Gemini 3.1 Flash Live Preview or GPT-5.4 mini?
- GPT-5.4 mini, at $1.53 per million tokens against $1.69 for Gemini 3.1 Flash Live Preview, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- Gemini 3.1 Flash Live Preview: nobody sells it below the maker's own price with a stated reason, so $1.69 is the number to beat. GPT-5.4 mini: $1.53 at Poe.
- Can I buy both from one provider?
- Yes. 2 providers sell both: LLM Gateway, LLMTR. The cheapest of them for the two together is LLM Gateway.
- Which holds more context?
- GPT-5.4 mini, at 400k tokens against 131k.
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.