Mercury 3 on Vercel AI Gateway

Mercury · Inception Labs

Serverless

Last refreshed 2026-10-19. Next refresh: weekly.

Why use Mercury 3 on Vercel AI Gateway?

Vercel AI Gateway offers Mercury 3 with pay-as-you-go pricing at $0.10/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare Mercury 3 across 3 providers to find the best fit for your use case
Input / 1M
$0.10
Output / 1M
$0.35
Cache
read $0.010
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export AI_GATEWAY_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
Model ID
inception/mercury-3

Request example

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="inception/mercury-3",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "inception/mercury-3", not the LLMReference slug "mercury-3".
  • creator/model-name e.g. kwaipilot/kat-coder-pro-v2
  • The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.

Compare Mercury 3 Across Providers

ProviderInput (per 1M)Output (per 1M)
Inception$0.20$0.70
OpenRouter$0.10$0.35
Vercel AI Gateway$0.10$0.35

Pricing

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.35

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About Mercury 3

Mercury 3 is Inception's diffusion LLM (dLLM), released 2026-10-19 on the Inception API (model id mercury-3) and through OpenRouter, Baseten and Vercel. It has a 1M-token context window and up to 131,072 output tokens, takes text in and returns text, and supports tool calling and structured outputs via the OpenAI-compatible v1/chat/completions endpoint. Reasoning effort can be set to instant, low, medium or high, and temperature from 0.5 to 1.0. Inception reports 1,068 output tokens per second on NVIDIA GPUs and says the model is more than 40x larger in total parameters than Mercury 1 (absolute size not disclosed).

Get Started

Model Specs

Released2026-10-19
Context1M

Related Models on Vercel AI Gateway