Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
Kimi K2.5
64
Verified leaderboard positions: Interfaze Beta unranked · Kimi K2.5 #11
Pick Interfaze Beta if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Knowledge
+24.8 difference
Multimodal
+7.4 difference
Interfaze Beta
Kimi K2.5
$1.5 / $3.5
$0.6 / $3
N/A
45 t/s
N/A
2.38s
1M
256K
Pick Interfaze Beta if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 65.1. The single biggest benchmark swing on the page is MMMU-Pro, 71.1% to 78.5%. Kimi K2.5 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5. Interfaze Beta is the reasoning model in the pair, while Kimi K2.5 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. Interfaze Beta gives you the larger context window at 1M, compared with 256K for Kimi K2.5.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 64. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71.1% and 78.5%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 65.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 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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