Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Laguna M.1
43
Ornith-1.0-35B
67
Pick Ornith-1.0-35B 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
+23.5 difference
Laguna M.1
Ornith-1.0-35B
$0.2 / $0.4
$0 / $0
N/A
N/A
N/A
N/A
256K
262K
Pick Ornith-1.0-35B 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.
Ornith-1.0-35B is clearly ahead on the provisional aggregate, 67 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ornith-1.0-35B's sharpest advantage is in agentic, where it averages 64.2 against 40.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 40.7% to 64.2%.
Laguna M.1 is also the more expensive model on tokens at $0.20 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ornith-1.0-35B. That is roughly Infinityx on output cost alone. Ornith-1.0-35B gives you the larger context window at 262K, compared with 256K for Laguna M.1.
Ornith-1.0-35B is ahead on BenchLM's provisional leaderboard, 67 to 43. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 40.7% and 64.2%.
Ornith-1.0-35B has the edge for agentic tasks in this comparison, averaging 64.2 versus 40.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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