GLM-5 vs SWE-1.7
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
SWE-1.7 leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-5
64
SWE-1.7
75
Verified leaderboard positions: GLM-5 #18 · SWE-1.7 unranked
Pick SWE-1.7 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5 | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | 56.2 | → 25.3 | 81.5 |
| Coding | 63.3 | — | — |
| Reasoning | 60.8 | — | — |
| Knowledge | 66.6 | — | — |
| Math | 91.1 | — | — |
| Multilingual | 83.1 | — | — |
| Inst. Following | 92.6 | — | — |
Operational Comparison
GLM-5
SWE-1.7
$1 / $3.2
N/A
74 t/s
N/A
1.64s
N/A
200K
256K
Quick Verdict
Pick SWE-1.7 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
SWE-1.7 is clearly ahead on the provisional aggregate, 75 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
SWE-1.7's sharpest advantage is in agentic, where it averages 81.5 against 56.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.2% to 81.5%.
SWE-1.7 is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. SWE-1.7 gives you the larger context window at 256K, compared with 200K for GLM-5.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GLM-5 or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 75 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 81.5%.
Which is better for agentic tasks, GLM-5 or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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