Gemma 4 E4B vs LFM2.5-VL-450M
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Gemma 4 E4B leads for most workloads.
Based on BenchLM composite scores, July 2026.
Gemma 4 E4B
40
LFM2.5-VL-450M
35
Pick Gemma 4 E4B 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.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | Gemma 4 E4B | Δ | LFM2.5-VL-450M |
|---|---|---|---|
| Knowledge | 67.4 | ← 46.9 | 20.5 |
| Inst. Following | — | — | 61.2 |
Operational Comparison
Gemma 4 E4B
LFM2.5-VL-450M
$0 / $0
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128K
128K
Quick Verdict
Pick Gemma 4 E4B 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 E4B is clearly ahead on the provisional aggregate, 40 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 E4B's sharpest advantage is in knowledge, where it averages 67.4 against 20.5. The single biggest benchmark swing on the page is MMLU-Pro, 69.4% to 19.3%.
Gemma 4 E4B 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.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Gemma 4 E4B or LFM2.5-VL-450M?
Gemma 4 E4B is ahead on BenchLM's provisional leaderboard, 40 to 35. The biggest single separator in this matchup is MMLU-Pro, where the scores are 69.4% and 19.3%.
Which is better for knowledge tasks, Gemma 4 E4B or LFM2.5-VL-450M?
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 67.4 versus 20.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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