Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
Kimi K2.6
85
Verified leaderboard positions: Interfaze Beta unranked · Kimi K2.6 #6
Pick Kimi K2.6 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+36.1 difference
Multimodal
+8.6 difference
Interfaze Beta
Kimi K2.6
$1.5 / $3.5
$0.95 / $4
N/A
N/A
N/A
N/A
1M
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Kimi K2.6 is clearly ahead on the provisional aggregate, 85 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in multimodal & grounded, where it averages 79.7 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 71.1% to 79.4%. Interfaze Beta does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. Interfaze Beta gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 85 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71.1% and 79.4%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 53.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.7 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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