Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 5
94
Ornith-1.0-9B
52
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Ornith-1.0-9B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+38.7 difference
Coding
+6.2 difference
Claude Sonnet 5
Ornith-1.0-9B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Ornith-1.0-9B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Claude Sonnet 5 is clearly ahead on the provisional aggregate, 94 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in agentic, where it averages 81.8 against 43.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 80.4% to 43.1%. Ornith-1.0-9B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ornith-1.0-9B. That is roughly Infinityx on output cost alone. Claude Sonnet 5 gives you the larger context window at 1M, compared with 262K for Ornith-1.0-9B.
Claude Sonnet 5 is ahead on BenchLM's provisional leaderboard, 94 to 52. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 80.4% and 43.1%.
Ornith-1.0-9B has the edge for coding in this comparison, averaging 69.4 versus 63.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude Sonnet 5 has the edge for agentic tasks in this comparison, averaging 81.8 versus 43.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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