Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2.5 (Reasoning) is clearly ahead on the aggregate, 76 to 31. 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 coding, where it averages 64.1 against 7.2. The single biggest benchmark swing on the page is HumanEval, 84 to 16.
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Kimi K2.5 (Reasoning)
73.1
Ministral 3 3B (Reasoning)
34
Kimi K2.5 (Reasoning)
64.1
Ministral 3 3B (Reasoning)
7.2
Kimi K2.5 (Reasoning)
74.3
Ministral 3 3B (Reasoning)
30.4
Kimi K2.5 (Reasoning)
84.9
Ministral 3 3B (Reasoning)
35.3
Kimi K2.5 (Reasoning)
69.7
Ministral 3 3B (Reasoning)
25.2
Kimi K2.5 (Reasoning)
91
Ministral 3 3B (Reasoning)
68
Kimi K2.5 (Reasoning)
86.7
Ministral 3 3B (Reasoning)
59.7
Kimi K2.5 (Reasoning)
92.6
Ministral 3 3B (Reasoning)
40.9
Kimi K2.5 (Reasoning) is ahead overall, 76 to 31. The biggest single separator in this matchup is HumanEval, where the scores are 84 and 16.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 69.7 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 64.1 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for math in this comparison, averaging 92.6 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for reasoning in this comparison, averaging 84.9 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 73.1 versus 34. Inside this category, Terminal-Bench 2.0 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 74.3 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for instruction following in this comparison, averaging 91 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for multilingual tasks in this comparison, averaging 86.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.