Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
91
Ling 2.6 Flash
44
Verified leaderboard positions: Claude Opus 4.6 #3 · Ling 2.6 Flash unranked
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill.
Coding
+37.4 difference
Knowledge
+17.2 difference
Claude Opus 4.6
Ling 2.6 Flash
$5 / $25
$0.1 / $0.3
40 t/s
209.5 t/s
1.78s
1.07s
1M
262K
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 91 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 64.4 against 27. The single biggest benchmark swing on the page is GPQA, 91.3% to 59%.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Ling 2.6 Flash. That is roughly 83.3x on output cost alone. Claude Opus 4.6 gives you the larger context window at 1M, compared with 262K for Ling 2.6 Flash.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 91 to 44. The biggest single separator in this matchup is GPQA, where the scores are 91.3% and 59%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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