Inception: Mercury 2.5 Preview
inception/mercury-2.5-preview
Access Mercury 2.5 Preview from Inception using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inception/mercury-2.5-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inception/mercury-2.5-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="inception/mercury-2.5-preview",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "inception/mercury-2.5-preview",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Mercury 2.5 Preview is a diffusion-based reasoning language model from Inception Labs, refining tokens in parallel rather than generating them one at a time. It is the newest release in the Mercury line, following Mercury 2, and adds tunable reasoning levels, parallel tool calls, and schema-aligned JSON output.
Inception reports throughput of 1,107 tokens per second on standard GPUs and a 10+ point jump in intelligence over Mercury 2. It says quality is comparable to cost-optimized models such as GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5.
With a 260K context window and 65,536 max output tokens, it targets production workloads where latency compounds, such as search agents, voice pipelines, and coding subagents. It is available through OpenRouter with an OpenAI-compatible API, priced at $0.04 per million input tokens and $0.15 per million output tokens.
Context Window 260K
tokens
Max Output 66K
tokens
Input Cost $0.04
per million tokens
Output Cost $0.15
per million tokens
Release Date Aug 31, 2026
Model Playground
Try Mercury 2.5 Preview instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Inception
Frequently Asked Questions
You can access Mercury 2.5 Preview by Inception through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mercury 2.5 Preview to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.04 |
| Output | $0.15 |
Mercury 2.5 Preview was created by Inception and released on Aug 31, 2026.
Mercury 2.5 Preview supports a context window of 260K tokens. For reference, that is roughly equivalent to 520 pages of text.
Mercury 2.5 Preview can generate up to 66K tokens in a single response.
Yes — the Mercury 2.5 Preview API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Mercury 2.5 Preview to your app without worrying about API keys or setup.
Read the Docs View Tutorials