# Mercury 3

Canonical page: https://agentsky.dev/models/inception/mercury-3
JSON record: https://gateway.agentsky.dev/v1/models/inception/mercury-3

Mercury 3 is a text-input model by Inception, available through the AgentSky API as inception/mercury-3 at $0.11605 per million input tokens and $0.406175 per million output tokens, with a 1M context window.

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date.

## Facts

- **Model id:** `inception/mercury-3`
- **Maker:** Inception
- **Input modalities:** Text
- **Context:** 1M
- **Max output tokens:** 131,072
- **Aliases:** `inception/mercury-3`, `mercury-3`

## Pricing

USD per million tokens on the default plan. Signed-in pages show your own plan's price; every response carries the cost of that call in `usage.cost`.

| Meter | Per 1M tokens |
|---|---|
| Input | $0.11605 |
| Output | $0.406175 |
| Cache read | $0.011605 |
| Cache write | $0.11605 |

## Use it

Anthropic wire base URL: `https://gateway.agentsky.dev`. OpenAI wire base URL: `https://gateway.agentsky.dev/v1`. Authenticate with an AgentSky API key (`ast_…`) and pass the model id.

### OpenAI SDK

```js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "inception/mercury-3",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response
```

### Codex

```bash
export OPENAI_BASE_URL="https://gateway.agentsky.dev/v1"
export OPENAI_API_KEY="$AGENTSKY_API_KEY"

codex --model inception/mercury-3
```

### OpenCode

```js
// opencode.json — then switch models any time with /models
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "agentsky": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "AgentSky",
      "options": {
        "baseURL": "https://gateway.agentsky.dev/v1",
        "apiKey": "{env:AGENTSKY_API_KEY}"
      },
      "models": { "inception/mercury-3": {} }
    }
  }
}
```

## Questions

### What is Mercury 3?

Mercury 3 is a model from Inception. Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date.

### How much does Mercury 3 cost?

$0.11605 / $0.406175 per million tokens at the prices shown, for input and output respectively. The exact price of every call comes back in the response as usage.cost, so you never have to compute it.

### What is the context length of Mercury 3?

1M tokens, and it writes up to 131K tokens in one reply. These are the limits listed for this model in the current AgentSky catalog.

### Which clients can call Mercury 3?

Anything that speaks the OpenAI-compatible request format. Point the client's base URL at the gateway, use an AgentSky key, and pass inception/mercury-3 as the model.

### How do I name Mercury 3 in a request?

The gateway accepts inception/mercury-3, mercury-3. Any of them resolves to the same model, so an existing integration usually needs no change to its model string.

### Can Mercury 3 read images?

No image input is listed for this model. Its supported input types are text. For screenshots or photographs, choose a model that lists image input.

### What output can Mercury 3 produce?

The listed output types are text. This model returns text. Producing image, video or audio files requires a suitable tool or another model; it is not included in text generation.

### How should I plan a long prompt for Mercury 3?

Plan your instructions, conversation history and source material around the 1M-token context limit, leaving room for the response. The listed response ceiling is 131K tokens. A larger window lets you supply more relevant material; it does not make unrelated content useful.

### What would 10,000 input tokens and 2,000 output tokens cost with Mercury 3?

At the displayed input and output rates, the model-token subtotal is $0.00197285. This example assumes uncached input and excludes additional pricing categories, tool calls and agent runtime. Actual usage determines the final charge.

### How is cached input priced for Mercury 3?

The catalog lists $0.011605 per million cache-read tokens. Cache writes are listed at $0.11605 per million tokens. Repeating a prompt does not by itself guarantee a cache hit; only usage reported as cached receives that rate.

### Does the Mercury 3 token price cover an entire agent task?

No. The model price covers the model usage described above. A task can also incur tool and runtime charges, and several model calls may be needed to complete it. Compare total task usage when evaluating cost.

### How do I use Mercury 3 on AgentSky?

The composer above preselects Mercury 3 for a compatible agent. Enter a concrete task, select any tools or connectors it needs, and send. Sign in if prompted; paid execution requires available credits.