Vercel AI Gateway exposes d1-ultra through model ID liquid/d1-ultra. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
liquid/d1-ultra— see the documentation for request format. - 3
Code Examples
pip install openaiAI_GATEWAY_API_KEYliquid/d1-ultracreator/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-ultra",
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 |
| Image input | $1.00 |
Capabilities
About d1-ultra
d1-ultra is a decision model from Liquid AI, released October 15, 2026 on the Liquid API. It reads text, images or both plus typed questions (noul yes/no, Choice, Score) in a single forward pass and returns probabilities without generating output tokens. Liquid states it is built on a larger open-weight base than d1 and targets tasks such as visual defect inspection and checking damage claims against photos. Billed on input tokens only ($0.042 per 1M input; output listed at $0). API-only; no public weights.