Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
97
Qwen3.6-27B
72
Verified leaderboard positions: Claude Opus 4.7 #2 · Qwen3.6-27B #10
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Agentic
+15.6 difference
Coding
+2.3 difference
Knowledge
+6.0 difference
Claude Opus 4.7
Qwen3.6-27B
$5 / $25
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Opus 4.7 is clearly ahead on the provisional aggregate, 97 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in agentic, where it averages 74.9 against 59.3. The single biggest benchmark swing on the page is HLE, 54.7% to 24%.
Claude Opus 4.7 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 4.7 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 4.7 gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 97 to 72. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 24%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 62.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for coding in this comparison, averaging 72.9 versus 70.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for agentic tasks in this comparison, averaging 74.9 versus 59.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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