Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 mini
46
Kimi K2.5
64
Verified leaderboard positions: GPT-4.1 mini unranked · Kimi K2.5 #11
Pick Kimi K2.5 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Coding
+40.6 difference
Knowledge
+0.9 difference
Inst. Following
+5.4 difference
GPT-4.1 mini
Kimi K2.5
$0.4 / $1.6
$0.6 / $3
80 t/s
45 t/s
0.76s
2.38s
1M
256K
Pick Kimi K2.5 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Kimi K2.5 is clearly ahead on the provisional aggregate, 64 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5's sharpest advantage is in coding, where it averages 64.2 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 23.6% to 76.8%.
Kimi K2.5 is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. GPT-4.1 mini gives you the larger context window at 1M, compared with 256K for Kimi K2.5.
Kimi K2.5 is ahead on BenchLM's provisional leaderboard, 64 to 46. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 23.6% and 76.8%.
Kimi K2.5 has the edge for knowledge tasks in this comparison, averaging 65.1 versus 64.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for coding in this comparison, averaging 64.2 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for instruction following in this comparison, averaging 93.9 versus 88.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.