Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
69
Ling 2.6 Flash
36
Pick GPT-5.4 mini if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+1.6 difference
GPT-5.4 mini
Ling 2.6 Flash
$0.75 / $4.5
$null / $null
201 t/s
209.5 t/s
3.85s
1.07s
400K
262K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 69 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini 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-5.4 mini gives you the larger context window at 400K, compared with 262K for Ling 2.6 Flash.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 69 to 36. The biggest single separator in this matchup is GPQA, where the scores are 88% and 59%.
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 57.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
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