Inception: Mercury 3
inception/mercury-3
Try Mercury 3 for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "inception/mercury-3"
}).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-3"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Mercury 3 is a diffusion language model from Inception Labs. It generates and refines tokens in parallel instead of one at a time, and it is the largest Mercury model so far, with over 40 times the parameters of Mercury 1.
Inception reports 1,068 tokens per second on NVIDIA GPUs and says it matches or beats GPT-6 Luna and Claude Haiku 5.5 across a range of benchmarks. It also reports that Mercury 3 completed 50% of 50 live Mind2Web browser tasks, more than GPT-6.1-Sol. These figures are Inception's own and were not independently verified.
The context window is 1M tokens, up from 260K in Mercury 2.5, with up to 131,072 output tokens through OpenRouter. It supports tool calling and an OpenAI-compatible API. Inception lists browser agents, real-time search, tutoring, and customer support as target uses, so it fits latency-sensitive applications.
Context Window 1M
tokens
Max Output 131K
tokens
Input Cost $0.1
per million tokens
Output Cost $0.35
per million tokens
Input text
modalities
Tool Use Yes
Release Date Oct 19, 2026
Try Mercury 3 for free
Try Mercury 3 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Inception
Mercury 2.5
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.
ChatMercury 2
Mercury 2 is a diffusion-based reasoning language model from Inception Labs that refines all tokens in parallel rather than generating them sequentially, achieving over 1,000 tokens per second — roughly 5x faster than speed-optimized competitors like Claude Haiku and GPT-5 Mini at comparable quality. On reasoning benchmarks, Mercury 2 scores 91.1 on AIME 2025 and 73.6 on GPQA. It also placed second on the Copilot Arena leaderboard for quality while ranking first for speed overall. With a 128K context window, it is purpose-built for latency-sensitive applications — real-time assistants, high-throughput pipelines, and cost-conscious production workloads where reasoning capability matters.
Frequently Asked Questions
You can access Mercury 3 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.
Mercury 3 is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Mercury 3 is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.1 |
| Output | $0.35 |
Mercury 3 was created by Inception and released on Oct 19, 2026.
Mercury 3 supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Mercury 3 can generate up to 131K tokens in a single response.
Mercury 3 accepts the following input types: text. It produces: text.
Yes, Mercury 3 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 3 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.
Add Mercury 3 to your app for free
Developers can integrate Mercury 3 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.