Mercury 3 API

inception/mercury-3
Developed by Inception, Mercury 3 is a chat model that supports text to text generation with extensive context capabilities.
Context
1M tokens
Input
$0.2116 / 1M tokens
Output
$0.7406 / 1M tokens
Released
Oct 16, 2026

Overview

What Is Mercury 3 API?

Mercury 3 is a specialized chat model built by Inception to handle complex text based tasks. It is designed to provide high quality reasoning and reliable outputs for various applications.

The model architecture supports streaming responses and structured data formats. It integrates seamlessly with external tools to enhance its functional capabilities.

What Mercury 3 Brings to the Table

Advanced Reasoning

The model is built to handle complex logical tasks and provide coherent responses.

Structured Output

Generate data in specific formats to ensure compatibility with your existing systems.

Tool Integration

Connect the model to external tools to expand its operational reach.

Streaming Support

Receive model outputs in real time as they are generated.

Use cases

Automate complex reasoning tasks for data analysis.

Generate structured text outputs for software integration.

Build interactive chat applications with tool support.

Process long form text documents with a large context window.

How to use Mercury 3 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to inception/mercury-3.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "inception/mercury-3",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "inception/mercury-3",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"inception/mercury-3","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Mercury 3 API Pricing

TypePrice
Input
$0.2116 / 1M tokens
Output
$0.7406 / 1M tokens
Cached input
$0.027508 / 1M tokens

Billed per token: $0.27508 / 1M input tokens, $0.027508 / 1M cached input tokens and $0.96278 / 1M output tokens. Reasoning tokens are billed as output.

Use cases

Automate complex reasoning tasks for data analysis.

Generate structured text outputs for software integration.

Build interactive chat applications with tool support.

Process long form text documents with a large context window.

Mercury 3 vs other models

ModelInputOutputContextBest for
Mercury 3
This page
$0.2116 / 1M tokens
$0.7406 / 1M tokens
1M tokens
Complex reasoning and structured text generation
$0.2116 / 1M tokens
$0.7935 / 1M tokens
256K tokens
Low-latency reasoning and agent loops
$0.46023 / 1M tokens
$0.92046 / 1M tokens
1M tokens
Agentic workflows and structured output
$0.2645 / 1M tokens
$1.058 / 1M tokens
1M tokens
Coding and long-horizon agentic workflows
$0.1 / 1M tokens
$0.5 / 1M tokens
1M tokens
High-volume, low-latency tasks

Frequently asked questions

Mercury 3 costs $0.27508 / 1M tokens for input and $0.96278 / 1M tokens for output on AI/ML API. Cached input is billed at $0.027508 / 1M tokens.

Mercury 3 was developed by Inception.

The model supports text to text generation.

The model supports a context window of 1,000,000 tokens.

Yes, Mercury 3 supports tool integration.

Start building with Mercury 3

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