GPT-5.4 nano vs Granite-4.0-H-350M

Pick GPT-5.4 nano if you want the stronger benchmark profile. Granite-4.0-H-350M 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.

GPT-5.4 nano is clearly ahead on the aggregate, 58 to 24. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 nano's sharpest advantage is in knowledge, where it averages 53.2 against 16.4. The single biggest benchmark swing on the page is GPQA, 82.8% to 24.1%.

GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Granite-4.0-H-350M. That is roughly Infinityx on output cost alone. GPT-5.4 nano is the reasoning model in the pair, while Granite-4.0-H-350M 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-5.4 nano gives you the larger context window at 400K, compared with 32K for Granite-4.0-H-350M.