GLM-5 vs Holo3-122B-A10B
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Holo3-122B-A10B leads for most workloads.
- GLM-5 offers ~3.1× the context window — choose it for very long inputs.
Based on BenchLM composite scores, July 2026.
GLM-5
63
Holo3-122B-A10B
71
Verified leaderboard positions: GLM-5 #18 · Holo3-122B-A10B unranked
Pick Holo3-122B-A10B if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you need the larger 200K context window.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5 | Δ | Holo3-122B-A10B |
|---|---|---|---|
| Agentic | 56.2 | → 22.7 | 78.9 |
| Coding | 63.3 | — | — |
| Reasoning | 60.8 | — | — |
| Knowledge | 66.6 | — | — |
| Math | 56.3 | — | — |
| Multilingual | 83.1 | — | — |
| Inst. Following | 92.6 | — | — |
Operational Comparison
GLM-5
Holo3-122B-A10B
$1 / $3.2
$0.4 / $3
74 t/s
N/A
1.64s
N/A
200K
64K
Quick Verdict
Pick Holo3-122B-A10B if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you need the larger 200K context window.
Holo3-122B-A10B is clearly ahead on the provisional aggregate, 71 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 56.2.
GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. GLM-5 gives you the larger context window at 200K, compared with 64K for Holo3-122B-A10B.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GLM-5 or Holo3-122B-A10B?
Holo3-122B-A10B is ahead on BenchLM's provisional leaderboard, 71 to 63.
Which is better for agentic tasks, GLM-5 or Holo3-122B-A10B?
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 56.2. GLM-5 stays close enough that the answer can still flip depending on your workload.
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