elephant-1 is the small brother of mammoth-1, and proof the decision-model category rewards small: 9B parameters, one forward pass, a confidence number per option. The analogy is the search dog rather than the reference library: it is not trying to know everything, it is trying to pick the right shelf fast. It exists because a 9B model that beats generalist giants on routing work costs almost nothing to run. Reach for it as the tier of decision models that fits on a laptop alongside your main model. Honest status: weights on HuggingFace (MIT); claimed best under 15B on the Jev index, vendor-stated, verifiable at home.
decision-model
classification
routing
local
small
- Parameters
-
9.0B
- Context
- 32k
- License
- mit
- Origin
-
πΊπΈ
USA
- Released
- Oct 2026
PRICE HISTORY
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.
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