Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
MiMo-V2-Flash
60
Verified leaderboard positions: GLM-5.1 #21 · MiMo-V2-Flash unranked
Pick GLM-5.1 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+12.5 difference
Knowledge
+32.2 difference
GLM-5.1
MiMo-V2-Flash
$1.4 / $4.4
$0 / $0
N/A
129 t/s
N/A
2.14s
203K
256K
Pick GLM-5.1 if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 83 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. MiMo-V2-Flash gives you the larger context window at 256K, compared with 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 60.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 52.3. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 60.9. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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