Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B is clearly ahead on the aggregate, 62 to 30. 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 mathematics, where it averages 81.6 against 37. The single biggest benchmark swing on the page is HumanEval, 75 to 14.
Qwen3.5 397B gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Qwen3.5 397B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.5 397B
56.9
LFM2.5-1.2B-Instruct
25.7
Qwen3.5 397B
40.7
LFM2.5-1.2B-Instruct
7.2
Qwen3.5 397B
61.4
LFM2.5-1.2B-Instruct
32.4
Qwen3.5 397B
75.9
LFM2.5-1.2B-Instruct
32.1
Qwen3.5 397B
59.3
LFM2.5-1.2B-Instruct
26
Qwen3.5 397B
82
LFM2.5-1.2B-Instruct
80
Qwen3.5 397B
78.8
LFM2.5-1.2B-Instruct
60.7
Qwen3.5 397B
81.6
LFM2.5-1.2B-Instruct
37
Qwen3.5 397B is ahead overall, 62 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 75 and 14.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for coding in this comparison, averaging 40.7 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for reasoning in this comparison, averaging 75.9 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.9 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multimodal and grounded tasks in this comparison, averaging 61.4 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for instruction following in this comparison, averaging 82 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multilingual tasks in this comparison, averaging 78.8 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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