Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
Kimi K2.5 (Reasoning)
76
Verified leaderboard positions: GLM-5.1 #21 · Kimi K2.5 (Reasoning) unranked
Pick GLM-5.1 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+10.7 difference
Coding
+15.9 difference
Knowledge
+35.0 difference
GLM-5.1
Kimi K2.5 (Reasoning)
$1.4 / $4.4
$0.6 / $3
N/A
N/A
N/A
N/A
203K
128K
Pick GLM-5.1 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 83 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in agentic, where it averages 65.3 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.5% to 50.8%. Kimi K2.5 (Reasoning) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). GLM-5.1 gives you the larger context window at 203K, compared with 128K for Kimi K2.5 (Reasoning).
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.5% and 50.8%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 52.3. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 60.9. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.3 versus 54.6. 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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