Vercel AI Gateway exposes mammoth-1 through model ID baseten/mammoth-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/mammoth-1— see the documentation for request format.
Code Examples
pip install openaiAI_GATEWAY_API_KEYbaseten/mammoth-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/mammoth-1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Capabilities
About mammoth-1
mammoth-1 is a 27B open-weight decision model from Base Labs, Baseten's research lab, released October 21, 2026. It is a full fine-tune of Qwen3.5-27B that returns a probability for each predefined option instead of generating text, answering choice, yes/no and score questions for classification, routing and scoring. Block-bidirectional attention in the full-attention layers lets each question see its options, and one shared-prefix prefill serves every question in a request. It was trained on 6.21M decision examples with text-only input. Weights are on Hugging Face at baselabs/mammoth-1 under MIT.