Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 5
94
Ornith-1.0-397B
96
Pick Ornith-1.0-397B if you want the stronger benchmark profile. Claude Sonnet 5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+4.3 difference
Coding
+19.2 difference
Claude Sonnet 5
Ornith-1.0-397B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick Ornith-1.0-397B if you want the stronger benchmark profile. Claude Sonnet 5 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Ornith-1.0-397B has the cleaner provisional overall profile here, landing at 96 versus 94. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Ornith-1.0-397B's sharpest advantage is in coding, where it averages 82.4 against 63.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 80.4% to 77.5%. Claude Sonnet 5 does hit back in agentic, 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-1.0-397B. That is roughly Infinityx on output cost alone. Claude Sonnet 5 gives you the larger context window at 1M, compared with 262K for Ornith-1.0-397B.
Ornith-1.0-397B is ahead on BenchLM's provisional leaderboard, 96 to 94. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 80.4% and 77.5%.
Ornith-1.0-397B has the edge for coding in this comparison, averaging 82.4 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 77.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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