Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
LFM2-24B-A2B and Nova Pro finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Nova Pro gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Treat this as a split decision. LFM2-24B-A2B makes more sense if instruction following is the priority; Nova Pro is the better fit if you need the larger 128K context window.
LFM2-24B-A2B
33.4
Nova Pro
33.3
LFM2-24B-A2B
18
Nova Pro
17.2
LFM2-24B-A2B
41.7
Nova Pro
41.1
LFM2-24B-A2B
46.6
Nova Pro
46.3
LFM2-24B-A2B
35.6
Nova Pro
34.2
LFM2-24B-A2B
68
Nova Pro
66
LFM2-24B-A2B
61.4
Nova Pro
60.4
LFM2-24B-A2B
50.4
Nova Pro
48.6
LFM2-24B-A2B and Nova Pro are tied on overall score, so the right pick depends on which category matters most for your use case.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 34.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for coding in this comparison, averaging 18 versus 17.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for math in this comparison, averaging 50.4 versus 48.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for reasoning in this comparison, averaging 46.6 versus 46.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for agentic tasks in this comparison, averaging 33.4 versus 33.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 versus 41.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for instruction following in this comparison, averaging 68 versus 66. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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