Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Ling 2.6 Flash
44
MiniMax M2.7
65
Pick MiniMax M2.7 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 need the larger 262K context window.
Coding
+26.7 difference
Ling 2.6 Flash
MiniMax M2.7
$0.1 / $0.3
$0.3 / $1.2
209.5 t/s
45 t/s
1.07s
2.53s
262K
200K
Pick MiniMax M2.7 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 need the larger 262K context window.
MiniMax M2.7 is clearly ahead on the provisional aggregate, 65 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.7's sharpest advantage is in coding, where it averages 53.7 against 27.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Ling 2.6 Flash. That is roughly 4.0x on output cost alone. Ling 2.6 Flash gives you the larger context window at 262K, compared with 200K for MiniMax M2.7.
MiniMax M2.7 is ahead on BenchLM's provisional leaderboard, 65 to 44.
MiniMax M2.7 has the edge for coding in this comparison, averaging 53.7 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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