Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
75
Ornith-1.0-35B
67
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Ornith-1.0-35B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+9.6 difference
Kimi K2.5 (Reasoning)
Ornith-1.0-35B
$0.6 / $3
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Ornith-1.0-35B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 75 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 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. Ornith-1.0-35B gives you the larger context window at 262K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 75 to 67. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 64.2%.
Ornith-1.0-35B has the edge for agentic tasks in this comparison, averaging 64.2 versus 54.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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