Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
91
Qwen3.6-27B
72
Verified leaderboard positions: Claude Opus 4.6 #3 · Qwen3.6-27B #10
Pick Claude Opus 4.6 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
+13.3 difference
Coding
+6.2 difference
Knowledge
+14.0 difference
Multimodal
+1.5 difference
Claude Opus 4.6
Qwen3.6-27B
$5 / $25
$0 / $0
40 t/s
N/A
1.78s
N/A
1M
262K
Pick Claude Opus 4.6 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.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 91 to 72. 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 knowledge, where it averages 76.2 against 62.2. The single biggest benchmark swing on the page is SuperGPQA, 95% to 66%. Qwen3.6-27B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 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. Qwen3.6-27B is the reasoning model in the pair, while Claude Opus 4.6 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. Claude Opus 4.6 gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 91 to 72. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 66%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 62.2. Inside this category, SuperGPQA 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 64.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 72.6 versus 59.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 77.3 versus 75.8. Inside this category, ERQA is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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