Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
71
MiMo-V2-Flash
62
Pick GLM-4.7 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you need the larger 256K context window.
Coding
+2.8 difference
Knowledge
+23.9 difference
Math
+1.6 difference
GLM-4.7
MiMo-V2-Flash
$0 / $0
$0 / $0
82 t/s
129 t/s
1.10s
2.14s
200K
256K
Pick GLM-4.7 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you need the larger 256K context window.
GLM-4.7 is clearly ahead on the provisional aggregate, 71 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in mathematics, where it averages 95.7 against 94.1. The single biggest benchmark swing on the page is GPQA, 85.7% to 83.7%. MiMo-V2-Flash does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2-Flash gives you the larger context window at 256K, compared with 200K for GLM-4.7.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 71 to 62. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 83.7%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 60.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 70.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 95.7 versus 94.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.