Gemma 4 31B 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 31B leads for most workloads.
Based on BenchLM composite scores, July 2026.
Gemma 4 31B
62
LFM2.5-VL-450M
35
Pick Gemma 4 31B 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 31B | Δ | LFM2.5-VL-450M |
|---|---|---|---|
| Knowledge | 53.3 | ← 32.8 | 20.5 |
| Coding | 41.6 | — | — |
| Multimodal | 76.9 | — | — |
| Inst. Following | — | — | 61.2 |
Operational Comparison
Gemma 4 31B
LFM2.5-VL-450M
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
256K
128K
Quick Verdict
Pick Gemma 4 31B 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 31B is clearly ahead on the provisional aggregate, 62 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in knowledge, where it averages 53.3 against 20.5. The single biggest benchmark swing on the page is MMLU-Pro, 85.2% to 19.3%.
Gemma 4 31B 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 31B gives you the larger context window at 256K, compared with 128K for LFM2.5-VL-450M.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Gemma 4 31B or LFM2.5-VL-450M?
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 62 to 35. The biggest single separator in this matchup is MMLU-Pro, where the scores are 85.2% and 19.3%.
Which is better for knowledge tasks, Gemma 4 31B or LFM2.5-VL-450M?
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 53.3 versus 20.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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