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
89
Verified leaderboard positions: Gemini 3.1 Flash-Lite unranked · GPT-5.4 #16
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Multimodal
+0.5 difference
Gemini 3.1 Flash-Lite
GPT-5.4
$0.25 / $1.5
$2.5 / $15
205 t/s
74 t/s
7.50s
151.79s
1M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. That is roughly 10.0x on output cost alone. GPT-5.4 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. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Gemini 3.1 Flash-Lite.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 48. The biggest single separator in this matchup is CharXiv, where the scores are 73.2% and 82.8%.
Gemini 3.1 Flash-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 73.2 versus 72.7. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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