Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Ling 2.6 Flash
36
MAI-Thinking-1
65
Verified leaderboard positions: Ling 2.6 Flash unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you need the larger 262K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+44.0 difference
Knowledge
+10.9 difference
Inst. Following
+28.0 difference
Ling 2.6 Flash
MAI-Thinking-1
$null / $null
N/A
209.5 t/s
N/A
1.07s
N/A
262K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you need the larger 262K context window or you would rather avoid the extra latency and token burn of a reasoning model.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MAI-Thinking-1's sharpest advantage is in coding, where it averages 71 against 27. The single biggest benchmark swing on the page is IFBench, 57% to 85%.
MAI-Thinking-1 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. Ling 2.6 Flash gives you the larger context window at 262K, compared with 256K for MAI-Thinking-1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 36. The biggest single separator in this matchup is IFBench, where the scores are 57% and 85%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 57. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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