Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 Pro is clearly ahead on the aggregate, 91 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 87.4 against 8.2. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 7.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 32K for LFM2.5-1.2B-Thinking.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the cheaper token bill.
GPT-5.4 Pro
87.4
LFM2.5-1.2B-Thinking
34.1
GPT-5.4 Pro
87.4
LFM2.5-1.2B-Thinking
8.2
GPT-5.4 Pro
94.9
LFM2.5-1.2B-Thinking
32.4
GPT-5.4 Pro
96.1
LFM2.5-1.2B-Thinking
38.4
GPT-5.4 Pro
83.8
LFM2.5-1.2B-Thinking
27
GPT-5.4 Pro
97
LFM2.5-1.2B-Thinking
72
GPT-5.4 Pro
95.7
LFM2.5-1.2B-Thinking
60.7
GPT-5.4 Pro
98.2
LFM2.5-1.2B-Thinking
42.3
GPT-5.4 Pro is ahead overall, 91 to 33. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 7.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 83.8 versus 27. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 87.4 versus 8.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98.2 versus 42.3. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.1 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 87.4 versus 34.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94.9 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 95.7 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.