Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
LFM2.5-1.2B-Thinking has the cleaner overall profile here, landing at 33 versus 31. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
LFM2.5-1.2B-Thinking's sharpest advantage is in instruction following, where it averages 72 against 68. The single biggest benchmark swing on the page is MuSR, 31 to 26.
Ministral 3 3B (Reasoning) gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick LFM2.5-1.2B-Thinking if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you need the larger 128K context window.
LFM2.5-1.2B-Thinking
34.1
Ministral 3 3B (Reasoning)
34
LFM2.5-1.2B-Thinking
8.2
Ministral 3 3B (Reasoning)
7.2
LFM2.5-1.2B-Thinking
32.4
Ministral 3 3B (Reasoning)
30.4
LFM2.5-1.2B-Thinking
38.4
Ministral 3 3B (Reasoning)
35.3
LFM2.5-1.2B-Thinking
27
Ministral 3 3B (Reasoning)
25.2
LFM2.5-1.2B-Thinking
72
Ministral 3 3B (Reasoning)
68
LFM2.5-1.2B-Thinking
60.7
Ministral 3 3B (Reasoning)
59.7
LFM2.5-1.2B-Thinking
42.3
Ministral 3 3B (Reasoning)
40.9
LFM2.5-1.2B-Thinking is ahead overall, 33 to 31. The biggest single separator in this matchup is MuSR, where the scores are 31 and 26.
LFM2.5-1.2B-Thinking has the edge for knowledge tasks in this comparison, averaging 27 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for coding in this comparison, averaging 8.2 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for math in this comparison, averaging 42.3 versus 40.9. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for reasoning in this comparison, averaging 38.4 versus 35.3. Inside this category, MuSR 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 34. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for multimodal and grounded tasks in this comparison, averaging 32.4 versus 30.4. 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 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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