# Mercury 2.5 API Pricing

As of October 10, 2026, Mercury 2.5 costs $0.20 per 1M input tokens and $0.75 per 1M output tokens on Inception Labs, with cache reads at $0.02 per 1M tokens. It has a 260,000-token context window and returns up to 65,536 tokens per response.

- Page: https://models.litellm.ai/models/mercury-2.5
- Lab: Inception Labs
- LiteLLM model name: `inception/mercury-2.5`
- Context window: 260,000 tokens
- Max output: 65,536 tokens
- Added to LiteLLM: September 11, 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Inception Labs | `inception/mercury-2.5` | $0.20 | $0.75 | $0.02 | – | – | 260K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Inception Labs: $0.775

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Inception Labs: $2.15

## Features

Supported: Function calling, Structured output, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="inception/mercury-2.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Mercury 2.5 cost?

Mercury 2.5 costs $0.20 per 1M input tokens and $0.75 per 1M output tokens on Inception Labs, with cache reads at $0.02 per 1M tokens.

### What is the context window of Mercury 2.5?

Mercury 2.5 has a 260,000-token context window and returns up to 65,536 tokens per response.

### Which providers offer Mercury 2.5?

Mercury 2.5 is available from Inception Labs through LiteLLM, using the model name inception/mercury-2.5.

### How do I call Mercury 2.5 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="inception/mercury-2.5", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Mercury 2.5 support?

Mercury 2.5 supports function calling, structured output and prompt caching.

### When did LiteLLM add Mercury 2.5?

Mercury 2.5 was added to LiteLLM's model price file on September 11, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json