Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
81
Mistral Medium 3.5 128B
78
Verified leaderboard positions: Kimi K2.6 #12 · Mistral Medium 3.5 128B unranked
Pick Kimi K2.6 if you want the stronger benchmark profile. Mistral Medium 3.5 128B only becomes the better choice if coding is the priority.
Coding
+5.6 difference
Kimi K2.6
Mistral Medium 3.5 128B
$0.95 / $4
$1.5 / $7.5
N/A
N/A
N/A
N/A
256K
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. Mistral Medium 3.5 128B only becomes the better choice if coding is the priority.
Kimi K2.6 has the cleaner provisional overall profile here, landing at 81 versus 78. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Mistral Medium 3.5 128B is also the more expensive model on tokens at $1.50 input / $7.50 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 81 to 78. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.2% and 77.6%.
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 72. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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