Vercel AI Gateway exposes elephant-1 through model ID baseten/elephant-1. Use the setup steps, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-21. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
baseten/elephant-1— see the documentation for request format.
Code Examples
pip install openaiAI_GATEWAY_API_KEYbaseten/elephant-1creator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="baseten/elephant-1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Capabilities
About elephant-1
elephant-1 is a 9B open-weight decision model from Base Labs, Baseten's research lab, released October 21, 2026. It is a full fine-tune of Qwen3.5-9B that turns a state and typed questions into calibrated probabilities for choice, yes/no and score answers in a single forward pass, without generating free-form text, for routing, classification and rubric scoring. It shares mammoth-1's block-bidirectional attention and 6.21M-example training mix and takes text-only input. Weights are on Hugging Face at baselabs/elephant-1 under MIT. Baseten Model APIs serve it through the System One API (/v1/systemone) as decision-models/baseten-elephant-9b-latest, free through October 27, 2026.