Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
88
Ornith-1.0-9B
52
Verified leaderboard positions: GPT-5.5 #7 · Ornith-1.0-9B unranked
Pick GPT-5.5 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
+38.4 difference
Coding
+10.8 difference
GPT-5.5
Ornith-1.0-9B
$5 / $30
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick GPT-5.5 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.
GPT-5.5 is clearly ahead on the provisional aggregate, 88 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in agentic, where it averages 81.5 against 43.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% 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.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 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. GPT-5.5 gives you the larger context window at 1M, compared with 262K for Ornith-1.0-9B.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 88 to 52. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 43.1%.
Ornith-1.0-9B has the edge for coding in this comparison, averaging 69.4 versus 58.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 43.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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