Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
58
LFM2.5-VL-450M
0
Pick GPT-4.1 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Knowledge
+44.7 difference
Inst. Following
+26.2 difference
GPT-4.1
LFM2.5-VL-450M
$2 / $8
$0 / $0
108 t/s
N/A
1.02s
N/A
1M
128K
Pick GPT-4.1 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
GPT-4.1 is clearly ahead on the provisional aggregate, 58 to 0. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in knowledge, where it averages 66.3 against 21.6. The single biggest benchmark swing on the page is GPQA, 66.3% to 25.7%.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. That is roughly Infinityx on output cost alone. GPT-4.1 gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.
GPT-4.1 is ahead on BenchLM's provisional leaderboard, 58 to 0. The biggest single separator in this matchup is GPQA, where the scores are 66.3% and 25.7%.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 21.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 61.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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