Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Llama 3 70B is clearly ahead on the aggregate, 51 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is the reasoning model in the pair, while Llama 3 70B 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. o1-pro gives you the larger context window at 200K, compared with 128K for Llama 3 70B.
Pick Llama 3 70B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Llama 3 70B
47.2
o1-pro
79
Llama 3 70B
58.8
o1-pro
86
Llama 3 70B is ahead overall, 51 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 60 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 47.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 58.8. Inside this category, AIME 2024 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.