Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
80
LongCat-2.0
80
Verified leaderboard positions: Kimi K2.6 #13 · LongCat-2.0 unranked
Treat this as a split decision. Kimi K2.6 makes more sense if coding is the priority; LongCat-2.0 is the better fit if you want the cheaper token bill or you need the larger 1M context window.
Agentic
+2.3 difference
Coding
+12.5 difference
Kimi K2.6
LongCat-2.0
$0.95 / $4
$0.75 / $2.95
N/A
N/A
N/A
N/A
256K
1M
Treat this as a split decision. Kimi K2.6 makes more sense if coding is the priority; LongCat-2.0 is the better fit if you want the cheaper token bill or you need the larger 1M context window.
Kimi K2.6 and LongCat-2.0 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.75 input / $2.95 output per 1M tokens for LongCat-2.0. LongCat-2.0 gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
Kimi K2.6 and LongCat-2.0 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 59.5. 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 70.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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