Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiniMax M2.7
65
Qwen3.6-27B
72
Verified leaderboard positions: MiniMax M2.7 unranked · Qwen3.6-27B #10
Pick Qwen3.6-27B if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+2.3 difference
Coding
+16.9 difference
MiniMax M2.7
Qwen3.6-27B
$0.3 / $1.2
$0 / $0
45 t/s
N/A
2.53s
N/A
200K
262K
Pick Qwen3.6-27B if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.6-27B is clearly ahead on the provisional aggregate, 72 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-27B's sharpest advantage is in coding, where it averages 70.6 against 53.7. The single biggest benchmark swing on the page is SWE-bench Pro, 56.2% to 53.5%.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 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 MiniMax M2.7 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. Qwen3.6-27B gives you the larger context window at 262K, compared with 200K for MiniMax M2.7.
Qwen3.6-27B is ahead on BenchLM's provisional leaderboard, 72 to 65. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 56.2% and 53.5%.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 53.7. Inside this category, SWE Multilingual 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 57. 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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