GPT-5.2 vs Ling 2.6 Flash

Pick GPT-5.2 if you want the stronger benchmark profile. Ling 2.6 Flash 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-5.2 is clearly ahead on the provisional aggregate, 83 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.2's sharpest advantage is in coding, where it averages 64.7 against 27. The single biggest benchmark swing on the page is GPQA, 92.4% to 59%.

GPT-5.2 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Ling 2.6 Flash. That is roughly 26.7x on output cost alone. GPT-5.2 is the reasoning model in the pair, while Ling 2.6 Flash 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-5.2 gives you the larger context window at 400K, compared with 262K for Ling 2.6 Flash.