Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 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.
DeepSeekMath V2's sharpest advantage is in mathematics, where it averages 84 against 50.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65 to 30.
DeepSeekMath V2 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. DeepSeekMath V2 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick DeepSeekMath V2 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.
DeepSeekMath V2
63.9
LFM2-24B-A2B
33.4
DeepSeekMath V2
47.3
LFM2-24B-A2B
18
DeepSeekMath V2
68.1
LFM2-24B-A2B
41.7
DeepSeekMath V2
75.9
LFM2-24B-A2B
46.6
DeepSeekMath V2
61
LFM2-24B-A2B
35.6
DeepSeekMath V2
83
LFM2-24B-A2B
68
DeepSeekMath V2
82.5
LFM2-24B-A2B
61.4
DeepSeekMath V2
84
LFM2-24B-A2B
50.4
DeepSeekMath V2 is ahead overall, 66 to 38. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65 and 30.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.1 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for instruction following in this comparison, averaging 83 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 82.5 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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