Vercel AI Gateway exposes d1 through model ID liquid/d1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-05. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
liquid/d1— see the documentation for request format. - 3
Code Examples
pip install openaiAI_GATEWAY_API_KEYliquid/d1creator/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="liquid/d1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.04 |
| Output tokens | Free |
Capabilities
About d1
d1 is Liquid AI's first decision model. It reads unstructured input (text, images or both) plus one or more typed questions (Noul yes/no, Choice, Score) in a single forward pass and returns calibrated probabilities, generating no output tokens, via POST https://api.liquid.ai/decisions/v1/systemone (TypeSafe SDK-compatible). Liquid gives text decisions as 200–300 ms. Released 2026-09-22 (text). Image input was added 2026-10-05 on the Liquid API under the paid id d1: JPEG/PNG/WebP/GIF, up to 8 images and 10,000 32×32 patches per request, billed as input tokens at 1.5 tokens per patch.