Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
68
Ornith-1.0-35B
67
Pick GLM-4.7 if you want the stronger benchmark profile. Ornith-1.0-35B only becomes the better choice if agentic is the priority or you need the larger 262K context window.
Agentic
+18.9 difference
GLM-4.7
Ornith-1.0-35B
$0 / $0
$0 / $0
82 t/s
N/A
1.10s
N/A
200K
262K
Pick GLM-4.7 if you want the stronger benchmark profile. Ornith-1.0-35B only becomes the better choice if agentic is the priority or you need the larger 262K context window.
GLM-4.7 finishes one point ahead on BenchLM's provisional leaderboard, 68 to 67. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Ornith-1.0-35B gives you the larger context window at 262K, compared with 200K for GLM-4.7.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 68 to 67. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 64.2%.
Ornith-1.0-35B has the edge for agentic tasks in this comparison, averaging 64.2 versus 45.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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