Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Ling 2.6 Flash
44
Qwen3.5-27B
65
Verified leaderboard positions: Ling 2.6 Flash unranked · Qwen3.5-27B #12
Pick Qwen3.5-27B if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+36.0 difference
Knowledge
+21.6 difference
Inst. Following
+38.0 difference
Ling 2.6 Flash
Qwen3.5-27B
$0.1 / $0.3
$0 / $0
209.5 t/s
N/A
1.07s
N/A
262K
262K
Pick Qwen3.5-27B if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.5-27B 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.
Qwen3.5-27B's sharpest advantage is in instruction following, where it averages 95 against 57. The single biggest benchmark swing on the page is GPQA, 59% to 85.5%.
Ling 2.6 Flash is also the more expensive model on tokens at $0.10 input / $0.30 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. That is roughly Infinityx on output cost alone. Qwen3.5-27B 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.
Qwen3.5-27B is ahead on BenchLM's provisional leaderboard, 65 to 44. The biggest single separator in this matchup is GPQA, where the scores are 59% and 85.5%.
Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 80.6 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-27B has the edge for coding in this comparison, averaging 63 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
Qwen3.5-27B has the edge for instruction following in this comparison, averaging 95 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.