Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Grok 3 [Beta] and LFM2-24B-A2B 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.
Grok 3 [Beta] gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Treat this as a split decision. Grok 3 [Beta] makes more sense if agentic is the priority or you need the larger 128K context window; LFM2-24B-A2B is the better fit if multilingual is the priority.
Grok 3 [Beta]
35.7
LFM2-24B-A2B
33.4
Grok 3 [Beta]
16.3
LFM2-24B-A2B
18
Grok 3 [Beta]
43.2
LFM2-24B-A2B
41.7
Grok 3 [Beta]
47.4
LFM2-24B-A2B
46.6
Grok 3 [Beta]
34
LFM2-24B-A2B
35.6
Grok 3 [Beta]
67
LFM2-24B-A2B
68
Grok 3 [Beta]
58.7
LFM2-24B-A2B
61.4
Grok 3 [Beta]
49.1
LFM2-24B-A2B
50.4
Grok 3 [Beta] and LFM2-24B-A2B 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. 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 16.3. 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 49.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for reasoning in this comparison, averaging 47.4 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for agentic tasks in this comparison, averaging 35.7 versus 33.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Grok 3 [Beta] has the edge for multimodal and grounded tasks in this comparison, averaging 43.2 versus 41.7. Inside this category, OfficeQA 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 67. 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 58.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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