Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
LFM2.5-VL-450M
0
Verified leaderboard positions: DeepSeek V4 Flash #23 · LFM2.5-VL-450M unranked
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Knowledge
+23.6 difference
DeepSeek V4 Flash
LFM2.5-VL-450M
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Flash is clearly ahead on the provisional aggregate, 59 to 0. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash's sharpest advantage is in knowledge, where it averages 45.2 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 83% to 19.3%.
DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 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. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 0. The biggest single separator in this matchup is MMLU-Pro, where the scores are 83% and 19.3%.
DeepSeek V4 Flash has the edge for knowledge tasks in this comparison, averaging 45.2 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.