GLM-5.1 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-5.1
69
SWE-1.7
75
Verified leaderboard positions: GLM-5.1 #16 · SWE-1.7 unranked
Pick SWE-1.7 if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5.1 | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | 65.4 | → 16.1 | 81.5 |
| Coding | 60.2 | — | — |
| Knowledge | 52.3 | — | — |
| Math | 88.9 | — | — |
Operational Comparison
GLM-5.1
SWE-1.7
$1.4 / $4.4
N/A
N/A
N/A
N/A
N/A
203K
256K
Quick Verdict
Pick SWE-1.7 if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
SWE-1.7 is clearly ahead on the provisional aggregate, 75 to 69. 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 65.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.5% to 81.5%.
SWE-1.7 gives you the larger context window at 256K, compared with 203K for GLM-5.1.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GLM-5.1 or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 75 to 69. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.5% and 81.5%.
Which is better for agentic tasks, GLM-5.1 or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 65.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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