Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash is clearly ahead on the aggregate, 56 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6 Flash's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 39.
Seed 1.6 Flash is also the more expensive model on tokens at $0.08 input / $0.30 output per 1M tokens, versus $0.03 input / $0.12 output per 1M tokens for LFM2-24B-A2B. That is roughly 2.5x on output cost alone. Seed 1.6 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. Seed 1.6 Flash gives you the larger context window at 256K, compared with 32K for LFM2-24B-A2B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
LFM2-24B-A2B
33.4
Seed 1.6 Flash
27.6
LFM2-24B-A2B
18
Seed 1.6 Flash
73.1
LFM2-24B-A2B
41.7
Seed 1.6 Flash
66.8
LFM2-24B-A2B
46.6
Seed 1.6 Flash
47.3
LFM2-24B-A2B
35.6
Seed 1.6 Flash
81
LFM2-24B-A2B
68
Seed 1.6 Flash
72.8
LFM2-24B-A2B
61.4
Seed 1.6 Flash
67.1
LFM2-24B-A2B
50.4
Seed 1.6 Flash is ahead overall, 56 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 39.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for coding in this comparison, averaging 27.6 versus 18. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 33.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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