Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4o is clearly ahead on the aggregate, 56 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o's sharpest advantage is in multimodal & grounded, where it averages 72.2 against 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 27.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Thinking. That is roughly Infinityx on output cost alone. LFM2.5-1.2B-Thinking is the reasoning model in the pair, while GPT-4o 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. GPT-4o gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick GPT-4o if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
GPT-4o
51.2
LFM2.5-1.2B-Thinking
34.1
GPT-4o
32.2
LFM2.5-1.2B-Thinking
8.2
GPT-4o
72.2
LFM2.5-1.2B-Thinking
32.4
GPT-4o
64.6
LFM2.5-1.2B-Thinking
38.4
GPT-4o
47.4
LFM2.5-1.2B-Thinking
27
GPT-4o
82
LFM2.5-1.2B-Thinking
72
GPT-4o
75.5
LFM2.5-1.2B-Thinking
60.7
GPT-4o
71.8
LFM2.5-1.2B-Thinking
42.3
GPT-4o is ahead overall, 56 to 33. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 27.
GPT-4o has the edge for knowledge tasks in this comparison, averaging 47.4 versus 27. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4o has the edge for coding in this comparison, averaging 32.2 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o has the edge for math in this comparison, averaging 71.8 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-4o has the edge for reasoning in this comparison, averaging 64.6 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-4o has the edge for agentic tasks in this comparison, averaging 51.2 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-4o has the edge for multimodal and grounded tasks in this comparison, averaging 72.2 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-4o has the edge for instruction following in this comparison, averaging 82 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-4o has the edge for multilingual tasks in this comparison, averaging 75.5 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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