Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
LFM2.5-VL-450M
33
MiMo-V2-Flash
67
Pick MiMo-V2-Flash if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+62.9 difference
LFM2.5-VL-450M
MiMo-V2-Flash
$0 / $0
$0 / $0
N/A
129 t/s
N/A
2.14s
128K
256K
Pick MiMo-V2-Flash if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Flash is clearly ahead on the provisional aggregate, 67 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in knowledge, where it averages 84.5 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 19.3% to 84.9%.
MiMo-V2-Flash is the reasoning model in the pair, while LFM2.5-VL-450M 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. MiMo-V2-Flash gives you the larger context window at 256K, compared with 128K for LFM2.5-VL-450M.
MiMo-V2-Flash is ahead on BenchLM's provisional leaderboard, 67 to 33. The biggest single separator in this matchup is MMLU-Pro, where the scores are 19.3% and 84.9%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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