Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5 Pro
100
Ornith-1.0-397B
96
Pick GPT-5.5 Pro if you want the stronger benchmark profile. Ornith-1.0-397B only becomes the better choice if you want the cheaper token bill.
Agentic
+12.6 difference
GPT-5.5 Pro
Ornith-1.0-397B
$30 / $180
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick GPT-5.5 Pro if you want the stronger benchmark profile. Ornith-1.0-397B only becomes the better choice if you want the cheaper token bill.
GPT-5.5 Pro is clearly ahead on the provisional aggregate, 100 to 96. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 Pro's sharpest advantage is in agentic, where it averages 90.1 against 77.5.
GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 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. GPT-5.5 Pro gives you the larger context window at 1M, compared with 262K for Ornith-1.0-397B.
GPT-5.5 Pro is ahead on BenchLM's provisional leaderboard, 100 to 96.
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 77.5. Ornith-1.0-397B stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.