Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
83
Qwen3.6-27B
72
Verified leaderboard positions: GPT-5.2 unranked · Qwen3.6-27B #10
Pick GPT-5.2 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+4.1 difference
Coding
+5.9 difference
Knowledge
+30.2 difference
Multimodal
+3.7 difference
GPT-5.2
Qwen3.6-27B
$2 / $8
$0 / $0
73 t/s
N/A
130.34s
N/A
400K
262K
Pick GPT-5.2 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 83 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 62.2. The single biggest benchmark swing on the page is GPQA, 92.4% to 87.8%. Qwen3.6-27B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 262K for Qwen3.6-27B.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 83 to 72. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 87.8%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 62.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 64.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for agentic tasks in this comparison, averaging 59.3 versus 55.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 79.5 versus 75.8. Inside this category, V* is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.