Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3 235B 2507 is clearly ahead on the aggregate, 37 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3 235B 2507's sharpest advantage is in reasoning, where it averages 45.6 against 32.1. The single biggest benchmark swing on the page is LongBench v2, 52 to 34. LFM2.5-1.2B-Instruct does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Qwen3 235B 2507 gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Qwen3 235B 2507
33.7
LFM2.5-1.2B-Instruct
25.7
Qwen3 235B 2507
14.6
LFM2.5-1.2B-Instruct
7.2
Qwen3 235B 2507
41.6
LFM2.5-1.2B-Instruct
32.4
Qwen3 235B 2507
45.6
LFM2.5-1.2B-Instruct
32.1
Qwen3 235B 2507
31.9
LFM2.5-1.2B-Instruct
26
Qwen3 235B 2507
69
LFM2.5-1.2B-Instruct
80
Qwen3 235B 2507
60.4
LFM2.5-1.2B-Instruct
60.7
Qwen3 235B 2507
46.6
LFM2.5-1.2B-Instruct
37
Qwen3 235B 2507 is ahead overall, 37 to 30. The biggest single separator in this matchup is LongBench v2, where the scores are 52 and 34.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 31.9 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for coding in this comparison, averaging 14.6 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for math in this comparison, averaging 46.6 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for reasoning in this comparison, averaging 45.6 versus 32.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for agentic tasks in this comparison, averaging 33.7 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for multimodal and grounded tasks in this comparison, averaging 41.6 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for instruction following in this comparison, averaging 80 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for multilingual tasks in this comparison, averaging 60.7 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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