Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
84
Laguna XS.2
32
Verified leaderboard positions: Kimi K2.6 #6 · Laguna XS.2 unranked
Pick Kimi K2.6 if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
Agentic
+43.0 difference
Coding
+18.7 difference
Kimi K2.6
Laguna XS.2
$0.95 / $4
$0 / $0
N/A
N/A
N/A
N/A
256K
131K
Pick Kimi K2.6 if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if you want the cheaper token bill.
Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 32. 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 agentic, where it averages 73.1 against 30.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 66.7% to 30.1%.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone. Kimi K2.6 gives you the larger context window at 256K, compared with 131K for Laguna XS.2.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 32. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 66.7% and 30.1%.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 53.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.1 versus 30.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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