Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.5 Flash
88
GPT-5.4
89
Verified leaderboard positions: Gemini 3.5 Flash #7 · GPT-5.4 #14
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Agentic
+0.2 difference
Coding
+3.2 difference
Knowledge
+8.1 difference
Multimodal
+11.1 difference
Gemini 3.5 Flash
GPT-5.4
$1.5 / $9
$2.5 / $15
284.2 t/s
74 t/s
18.55s
151.79s
1M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.4 finishes one point ahead on BenchLM's provisional leaderboard, 89 to 88. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4's sharpest advantage is in knowledge, where it averages 66.1 against 58. The single biggest benchmark swing on the page is HLE, 40.2% to 52.1%. Gemini 3.5 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.50 input / $9.00 output per 1M tokens for Gemini 3.5 Flash. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Gemini 3.5 Flash.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 88. The biggest single separator in this matchup is HLE, where the scores are 40.2% and 52.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 58. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for coding in this comparison, averaging 57.7 versus 54.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 77. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 72.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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