Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
71
MiMo-V2.5-Pro
82
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+23.1 difference
Coding
+13.4 difference
Knowledge
+12.6 difference
GLM-4.7
MiMo-V2.5-Pro
$0 / $0
$1 / $3
82 t/s
N/A
1.10s
N/A
200K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 82 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in agentic, where it averages 68.4 against 45.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 68.4%. GLM-4.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro is also the more expensive model on tokens at $1.00 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 200K for GLM-4.7.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 82 to 71. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 68.4%.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 60.6 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 57.2. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 45.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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