Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
88
Ornith-1.0-35B
67
Verified leaderboard positions: GPT-5.5 #7 · Ornith-1.0-35B unranked
Pick GPT-5.5 if you want the stronger benchmark profile. Ornith-1.0-35B only becomes the better choice if you want the cheaper token bill.
Agentic
+17.3 difference
GPT-5.5
Ornith-1.0-35B
$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-1.0-35B only becomes the better choice if you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 88 to 67. 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 64.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 64.2%.
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-1.0-35B. That is roughly Infinityx on output cost alone. GPT-5.5 gives you the larger context window at 1M, compared with 262K for Ornith-1.0-35B.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 88 to 67. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 64.2%.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 64.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.