Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
60
Ling 2.6 Flash
44
Pick GPT-4.1 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill.
Coding
+27.6 difference
Knowledge
+7.3 difference
Inst. Following
+30.4 difference
GPT-4.1
Ling 2.6 Flash
$2 / $8
$0.1 / $0.3
108 t/s
209.5 t/s
1.02s
1.07s
1M
262K
Pick GPT-4.1 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill.
GPT-4.1 is clearly ahead on the provisional aggregate, 60 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in instruction following, where it averages 87.4 against 57. The single biggest benchmark swing on the page is GPQA, 66.3% to 59%.
GPT-4.1 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-4.1 gives you the larger context window at 1M, compared with 262K for Ling 2.6 Flash.
GPT-4.1 is ahead on BenchLM's provisional leaderboard, 60 to 44. The biggest single separator in this matchup is GPQA, where the scores are 66.3% and 59%.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 57. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.