Granite-4.0-1B vs o3

Pick o3 if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

o3 is clearly ahead on the aggregate, 65 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

o3's sharpest advantage is in multilingual, where it averages 81.1 against 27.5. The single biggest benchmark swing on the page is GPQA, 29.7% to 87%.

o3 is also the more expensive model on tokens at $10.00 input / $40.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Granite-4.0-1B. That is roughly Infinityx on output cost alone. o3 is the reasoning model in the pair, while Granite-4.0-1B 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. o3 gives you the larger context window at 200K, compared with 128K for Granite-4.0-1B.