Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2 has the cleaner overall profile here, landing at 34 versus 31. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2's sharpest advantage is in multimodal & grounded, where it averages 39.5 against 30.4. The single biggest benchmark swing on the page is MMMU-Pro, 35 to 25. Ministral 3 3B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while Kimi K2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Kimi K2 if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
Kimi K2
29.3
Ministral 3 3B (Reasoning)
34
Kimi K2
12.8
Ministral 3 3B (Reasoning)
7.2
Kimi K2
39.5
Ministral 3 3B (Reasoning)
30.4
Kimi K2
40.9
Ministral 3 3B (Reasoning)
35.3
Kimi K2
29.3
Ministral 3 3B (Reasoning)
25.2
Kimi K2
67
Ministral 3 3B (Reasoning)
68
Kimi K2
59.7
Ministral 3 3B (Reasoning)
59.7
Kimi K2
42.7
Ministral 3 3B (Reasoning)
40.9
Kimi K2 is ahead overall, 34 to 31. The biggest single separator in this matchup is MMMU-Pro, where the scores are 35 and 25.
Kimi K2 has the edge for knowledge tasks in this comparison, averaging 29.3 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for coding in this comparison, averaging 12.8 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for math in this comparison, averaging 42.7 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for reasoning in this comparison, averaging 40.9 versus 35.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Ministral 3 3B (Reasoning) has the edge for agentic tasks in this comparison, averaging 34 versus 29.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for multimodal and grounded tasks in this comparison, averaging 39.5 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 3B (Reasoning) has the edge for instruction following in this comparison, averaging 68 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Kimi K2 and Ministral 3 3B (Reasoning) are effectively tied for multilingual tasks here, both landing at 59.7 on average.
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.