Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mistral Medium 3.5 128B
78
Qwen3.6-27B
72
Verified leaderboard positions: Mistral Medium 3.5 128B unranked · Qwen3.6-27B #20
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill or you need the larger 262K context window.
Coding
+7.0 difference
Mistral Medium 3.5 128B
Qwen3.6-27B
$1.5 / $7.5
$0 / $0
N/A
N/A
N/A
N/A
256K
262K
Pick Mistral Medium 3.5 128B if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you want the cheaper token bill or you need the larger 262K context window.
Mistral Medium 3.5 128B is clearly ahead on the provisional aggregate, 78 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Medium 3.5 128B's sharpest advantage is in coding, where it averages 77.6 against 70.6. The single biggest benchmark swing on the page is SWE-bench Verified, 77.6% to 77.2%.
Mistral Medium 3.5 128B is also the more expensive model on tokens at $1.50 input / $7.50 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 gives you the larger context window at 262K, compared with 256K for Mistral Medium 3.5 128B.
Mistral Medium 3.5 128B is ahead on BenchLM's provisional leaderboard, 78 to 72. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.6% and 77.2%.
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 70.6. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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