Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
62
LFM2.5-VL-450M
33
Pick Gemma 4 26B A4B 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
+27.6 difference
Gemma 4 26B A4B
LFM2.5-VL-450M
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
256K
128K
Pick Gemma 4 26B A4B 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.
Gemma 4 26B A4B is clearly ahead on the provisional aggregate, 62 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B's sharpest advantage is in knowledge, where it averages 49.2 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 82.6% to 19.3%.
Gemma 4 26B A4B 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. Gemma 4 26B A4B gives you the larger context window at 256K, compared with 128K for LFM2.5-VL-450M.
Gemma 4 26B A4B is ahead on BenchLM's provisional leaderboard, 62 to 33. The biggest single separator in this matchup is MMLU-Pro, where the scores are 82.6% and 19.3%.
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 49.2 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.