Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.5 is clearly ahead on the aggregate, 59 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.5's sharpest advantage is in mathematics, where it averages 76.1 against 37. The single biggest benchmark swing on the page is HumanEval, 65 to 14.
MiniMax M2.5 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Instruct. That is roughly Infinityx on output cost alone. MiniMax M2.5 gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick MiniMax M2.5 if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if you want the cheaper token bill.
MiniMax M2.5
53.4
LFM2.5-1.2B-Instruct
25.7
MiniMax M2.5
38.7
LFM2.5-1.2B-Instruct
7.2
MiniMax M2.5
62
LFM2.5-1.2B-Instruct
32.4
MiniMax M2.5
69.6
LFM2.5-1.2B-Instruct
32.1
MiniMax M2.5
55.3
LFM2.5-1.2B-Instruct
26
MiniMax M2.5
85
LFM2.5-1.2B-Instruct
80
MiniMax M2.5
82.1
LFM2.5-1.2B-Instruct
60.7
MiniMax M2.5
76.1
LFM2.5-1.2B-Instruct
37
MiniMax M2.5 is ahead overall, 59 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 65 and 14.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for coding in this comparison, averaging 38.7 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for math in this comparison, averaging 76.1 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for reasoning in this comparison, averaging 69.6 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for agentic tasks in this comparison, averaging 53.4 versus 25.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 62 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for instruction following in this comparison, averaging 85 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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