mercury

completions

byopenrouter

mercury

completions

Published by: inceptionProvider:

openrouter

Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude 3.5 Haiku while matching their performance. Mercury's speed enables developers to provide responsive user experiences, including with voice agents, search interfaces, and chatbots. Read more in the blog post here.

Context

128K

Input

$0.25 / 1M tokens

Output

$1 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Context: 128K Input: $0.25 / 1M tokensOutput: $1 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access mercury through LangDB AI Gateway

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Code Examples

Integration samples and API usage

Code Samples for mercury

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="mercury",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "mercury",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mercury",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mercury

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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