Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
70
Laguna M.1
46
Pick GLM-4.7 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+4.6 difference
Coding
+14.2 difference
GLM-4.7
Laguna M.1
$0 / $0
$0 / $0
82 t/s
N/A
1.10s
N/A
200K
131K
Pick GLM-4.7 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-4.7 is clearly ahead on the provisional aggregate, 70 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in coding, where it averages 70.6 against 56.4. The single biggest benchmark swing on the page is SWE-bench Verified, 73.8% to 72.5%.
GLM-4.7 gives you the larger context window at 200K, compared with 131K for Laguna M.1.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 70 to 46. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.8% and 72.5%.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 56.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for agentic tasks in this comparison, averaging 45.3 versus 40.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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