LFM2.5-VL-450M vs Qwen3.5 397B
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Qwen3.5 397B leads for most workloads.
Based on BenchLM composite scores, July 2026.
LFM2.5-VL-450M
35
Qwen3.5 397B
61
Verified leaderboard positions: LFM2.5-VL-450M unranked · Qwen3.5 397B #24
Pick Qwen3.5 397B if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | LFM2.5-VL-450M | Δ | Qwen3.5 397B |
|---|---|---|---|
| Knowledge | 20.5 | → 36.4 | 56.9 |
| Inst. Following | 61.2 | → 31.4 | 92.6 |
| Agentic | — | — | 56.5 |
| Coding | — | — | 60.3 |
| Reasoning | — | — | 63.2 |
| Math | — | — | 90.6 |
| Multilingual | — | — | 84.7 |
| Multimodal | — | — | 79.6 |
Operational Comparison
LFM2.5-VL-450M
Qwen3.5 397B
$0 / $0
$0.6 / $3.6
N/A
96 t/s
N/A
2.44s
128K
128K
Quick Verdict
Pick Qwen3.5 397B if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Qwen3.5 397B is clearly ahead on the provisional aggregate, 61 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B's sharpest advantage is in knowledge, where it averages 56.9 against 20.5. The single biggest benchmark swing on the page is MMLU-Pro, 19.3% to 87.8%.
Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 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.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, LFM2.5-VL-450M or Qwen3.5 397B?
Qwen3.5 397B is ahead on BenchLM's provisional leaderboard, 61 to 35. The biggest single separator in this matchup is MMLU-Pro, where the scores are 19.3% and 87.8%.
Which is better for knowledge tasks, LFM2.5-VL-450M or Qwen3.5 397B?
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 56.9 versus 20.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Which is better for instruction following, LFM2.5-VL-450M or Qwen3.5 397B?
Qwen3.5 397B 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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