GLM-4.7 vs MiMo-V2.5
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
MiMo-V2.5 leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-4.7
63
MiMo-V2.5
65
Verified leaderboard positions: GLM-4.7 #34 · MiMo-V2.5 unranked
Pick MiMo-V2.5 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-4.7 | Δ | MiMo-V2.5 |
|---|---|---|---|
| Agentic | 45.7 | → 20.1 | 65.8 |
| Coding | 73.8 | ← 17.7 | 56.1 |
| Knowledge | 52.1 | — | — |
| Math | 1.8 | — | — |
| Multimodal | — | — | 79.0 |
Operational Comparison
GLM-4.7
MiMo-V2.5
$0 / $0
$null / $null
82 t/s
N/A
1.10s
N/A
200K
1M
Quick Verdict
Pick MiMo-V2.5 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
MiMo-V2.5 has the cleaner provisional overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5's sharpest advantage is in agentic, where it averages 65.8 against 45.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 65.8%. 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 gives you the larger context window at 1M, compared with 200K for GLM-4.7.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, GLM-4.7 or MiMo-V2.5?
MiMo-V2.5 is ahead on BenchLM's provisional leaderboard, 65 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 65.8%.
Which is better for coding, GLM-4.7 or MiMo-V2.5?
GLM-4.7 has the edge for coding in this comparison, averaging 73.8 versus 56.1. MiMo-V2.5 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GLM-4.7 or MiMo-V2.5?
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 45.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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