Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M1 80k has the cleaner overall profile here, landing at 35 versus 33. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiniMax M1 80k's sharpest advantage is in multimodal & grounded, where it averages 39 against 32.4. The single biggest benchmark swing on the page is HumanEval, 28 to 17. LFM2.5-1.2B-Thinking does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while MiniMax M1 80k 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. MiniMax M1 80k gives you the larger context window at 80K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick MiniMax M1 80k if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if instruction following is the priority or you want the stronger reasoning-first profile.
MiniMax M1 80k
32.1
LFM2.5-1.2B-Thinking
34.1
MiniMax M1 80k
13.8
LFM2.5-1.2B-Thinking
8.2
MiniMax M1 80k
39
LFM2.5-1.2B-Thinking
32.4
MiniMax M1 80k
41.7
LFM2.5-1.2B-Thinking
38.4
MiniMax M1 80k
31.3
LFM2.5-1.2B-Thinking
27
MiniMax M1 80k
68
LFM2.5-1.2B-Thinking
72
MiniMax M1 80k
59.1
LFM2.5-1.2B-Thinking
60.7
MiniMax M1 80k
44.9
LFM2.5-1.2B-Thinking
42.3
MiniMax M1 80k is ahead overall, 35 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 28 and 17.
MiniMax M1 80k has the edge for knowledge tasks in this comparison, averaging 31.3 versus 27. Inside this category, MMLU is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for coding in this comparison, averaging 13.8 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for math in this comparison, averaging 44.9 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for reasoning in this comparison, averaging 41.7 versus 38.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for agentic tasks in this comparison, averaging 34.1 versus 32.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for multimodal and grounded tasks in this comparison, averaging 39 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for instruction following in this comparison, averaging 72 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for multilingual tasks in this comparison, averaging 60.7 versus 59.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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