Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Flash is clearly ahead on the aggregate, 66 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in multimodal & grounded, where it averages 75.8 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 78 to 39.
MiMo-V2-Flash is the reasoning model in the pair, while LFM2-24B-A2B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2-Flash gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick MiMo-V2-Flash if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Flash
61.8
LFM2-24B-A2B
33.4
MiMo-V2-Flash
50
LFM2-24B-A2B
18
MiMo-V2-Flash
75.8
LFM2-24B-A2B
41.7
MiMo-V2-Flash
75.3
LFM2-24B-A2B
46.6
MiMo-V2-Flash
58.8
LFM2-24B-A2B
35.6
MiMo-V2-Flash
84
LFM2-24B-A2B
68
MiMo-V2-Flash
79.1
LFM2-24B-A2B
61.4
MiMo-V2-Flash
83.4
LFM2-24B-A2B
50.4
MiMo-V2-Flash is ahead overall, 66 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 78 and 39.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 58.8 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 50 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for math in this comparison, averaging 83.4 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for reasoning in this comparison, averaging 75.3 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for agentic tasks in this comparison, averaging 61.8 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for multimodal and grounded tasks in this comparison, averaging 75.8 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for instruction following in this comparison, averaging 84 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for multilingual tasks in this comparison, averaging 79.1 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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