Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
76
LFM2.5-VL-450M
33
Verified leaderboard positions: GLM-5 #10 · LFM2.5-VL-450M unranked
Pick GLM-5 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+49.1 difference
Inst. Following
+31.4 difference
GLM-5
LFM2.5-VL-450M
$0 / $0
$0 / $0
74 t/s
N/A
1.64s
N/A
200K
128K
Pick GLM-5 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5 is clearly ahead on the provisional aggregate, 76 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in knowledge, where it averages 70.7 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 85.7% to 19.3%.
GLM-5 gives you the larger context window at 200K, compared with 128K for LFM2.5-VL-450M.
GLM-5 is ahead on BenchLM's provisional leaderboard, 76 to 33. The biggest single separator in this matchup is MMLU-Pro, where the scores are 85.7% and 19.3%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 61.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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