Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
Qwen3.5-122B-A10B
65
Verified leaderboard positions: Kimi K2.5 (Reasoning) unranked · Qwen3.5-122B-A10B #8
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+1.5 difference
Coding
+4.8 difference
Knowledge
+5.7 difference
Multimodal
+1.3 difference
Kimi K2.5 (Reasoning)
Qwen3.5-122B-A10B
$0.6 / $3
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in knowledge, where it averages 87.3 against 81.6. The single biggest benchmark swing on the page is SWE-bench Verified, 76.8% to 72%. Qwen3.5-122B-A10B does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 76 to 65. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76.8% and 72%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 81.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 72. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.1 versus 54.6. Inside this category, BrowseComp 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 77.2. Qwen3.5-122B-A10B stays close enough that the answer can still flip depending on your workload.
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