Inception: Mercury 2.5
inception/mercury-2.5
Access Mercury 2.5 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"
}).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"
}).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",
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",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Mercury 2.5 is a diffusion language model from Inception Labs. Unlike autoregressive models that emit one token at a time, it generates and refines tokens in parallel.
Inception reports 1,107 tokens per second on standard GPUs, and 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. Reported benchmark figures include 79% on GPQA Diamond and 77% on IFBench. Independent benchmark coverage was not published at release, so those numbers are Inception's own.
Through the API it supports tunable reasoning, parallel tool calls, and schema-aligned JSON output. With a 260K context window and 65,536 max output tokens, it targets latency-sensitive work such as search and RAG pipelines that fire many calls per request, voice agents, and coding-assistant tasks like context compaction and routing.
Context Window 260K
tokens
Max Output 66K
tokens
Input Cost $0.04
per million tokens
Output Cost $0.15
per million tokens
Tool Use Yes
Release Date Sep 8, 2026
Model Playground
Try Mercury 2.5 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 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 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 was created by Inception and released on Sep 8, 2026.
Mercury 2.5 supports a context window of 260K tokens. For reference, that is roughly equivalent to 520 pages of text.
Mercury 2.5 can generate up to 66K tokens in a single response.
Yes, Mercury 2.5 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Mercury 2.5 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 to your app without worrying about API keys or setup.
Read the Docs View Tutorials