Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
77
Kimi K2.5 (Reasoning)
75
Pick Interfaze Beta if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Knowledge
+2.6 difference
Multimodal
+7.4 difference
Interfaze Beta
Kimi K2.5 (Reasoning)
$1.5 / $3.5
$0.6 / $3
N/A
N/A
N/A
N/A
1M
128K
Pick Interfaze Beta if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Interfaze Beta has the cleaner provisional overall profile here, landing at 77 versus 75. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 87.3. The single biggest benchmark swing on the page is MMMU-Pro, 71.1% to 78.5%. Kimi K2.5 (Reasoning) 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 (Reasoning). Interfaze Beta gives you the larger context window at 1M, compared with 128K for Kimi K2.5 (Reasoning).
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 77 to 75. 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 87.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) 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.
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