Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
MiMo-V2-Flash is clearly ahead on the aggregate, 71 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in multilingual, where it averages 83 against 80.6. The single biggest benchmark swing on the page is GPQA, 78 to 56.1. Phi-4 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2-Flash is the reasoning model in the pair, while Phi-4 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. MiMo-V2-Flash gives you the larger context window at 128K, compared with 16K for Phi-4.
Pick MiMo-V2-Flash if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Flash
65.5
Phi-4
70.5
MiMo-V2-Flash
55
Phi-4
82.6
MiMo-V2-Flash
83
Phi-4
80.6
MiMo-V2-Flash is ahead overall, 71 to 39. The biggest single separator in this matchup is GPQA, where the scores are 78 and 56.1.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 70.5 versus 65.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 82.6 versus 55. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for multilingual tasks in this comparison, averaging 83 versus 80.6. 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.