Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.1 Flash-Lite
48
GPT-5.4 mini
71
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Multimodal
+3.4 difference
Gemini 3.1 Flash-Lite
GPT-5.4 mini
$0.25 / $1.5
$0.75 / $4.5
205 t/s
201 t/s
7.50s
3.85s
1M
400K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 71 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in multimodal & grounded, where it averages 76.6 against 73.2.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. That is roughly 3.0x on output cost alone. GPT-5.4 mini is the reasoning model in the pair, while Gemini 3.1 Flash-Lite is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3.1 Flash-Lite gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 71 to 48.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 73.2. Gemini 3.1 Flash-Lite stays close enough that the answer can still flip depending on your workload.
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