Mercury 2
About this model
Mercury 2 is an AI model from Inception, made available through the API on March 4, 2026. It can read up to 128,000 tokens in one request, roughly 240 pages of text, and write up to 50,000 tokens in a single answer.
Through the API it costs $0.25 per million input tokens and $0.75 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Mercury 2 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "inception/mercury-2", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="inception/mercury-2",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "inception/mercury-2",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.35
- Summarise a 100-page document$0.013
- An app with 10,000 requests a day for a month$165
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
Gemini 3.1 Flash LiteGoogle DeepMind | $0.25 | $1.50 | 1M | Compare with ⇄ |
Trinity Large ThinkingArcee AI | $0.25 | $0.80 | 256K | Compare with ⇄ |
Seed-2.0-LiteByteDance Seed | $0.25 | $2 | 256K | Compare with ⇄ |
DeepSeek V4 Flash Vision ExpDeepSeek | $0.22 | $0.65 | 1M | Compare with ⇄ |
MiniMax M2.7MiniMax | $0.21 | $0.84 | 200K | Compare with ⇄ |
Command A+Cohere | $0.30 | $1.50 | 192K | Compare with ⇄ |
Frequently asked questions
- How much does Mercury 2 cost?
- Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.35.
- What is the context window of Mercury 2?
- Mercury 2 can read up to 128,000 tokens in one request, about 240 pages of text. It can write up to 50,000 tokens in a single answer.
- Is Mercury 2 open source?
- No. Mercury 2 is a closed model: its weights are not published, so you use it through Inception’s own apps and API, or through cloud providers.
- Who makes Mercury 2?
- Mercury 2 is made by Inception. It became available through the API on March 4, 2026.
- Can Mercury 2 read images?
- No. Mercury 2 only accepts text as input.
- What are the alternatives to Mercury 2?
- Models with a similar price from other companies include Gemini 3.1 Flash Lite, Trinity Large Thinking and Seed-2.0-Lite. You can compare them side by side on this page.