LiteLLMModels

Mercury 2 API Pricing

As of October 10, 2026, Mercury 2 costs $0.25 per 1M input tokens and $0.75 per 1M output tokens on Inception Labs, with cache reads at $0.025 per 1M tokens. It has a 128,000-token context window and returns up to 50,000 tokens per response.

By Inception LabsModel ID inception/mercury-2Prices updated Checked
Input
$0.25 / 1M tokens
Output
$0.75 / 1M tokens
Cache read
$0.025 / 1M tokens
Context window
128,000 tokens
Max output
50,000 tokens
Providers
1
Added to LiteLLM
June 2026

Mercury 2 pricing by provider

1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputCache readContext
Inception Labsinception/mercury-2$0.25$0.75$0.025128K

What Mercury 2 costs in practice

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

Inception Labs$0.875

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

Inception Labs$2.65

Mercury 2 features

Use Mercury 2 with LiteLLM

Call Mercury 2 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="inception/mercury-2",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: mercury-2
    litellm_params:
      model: inception/mercury-2
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "mercury-2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Mercury 2 FAQ

How much does Mercury 2 cost?

Mercury 2 costs $0.25 per 1M input tokens and $0.75 per 1M output tokens on Inception Labs, with cache reads at $0.025 per 1M tokens.

What is the context window of Mercury 2?

Mercury 2 has a 128,000-token context window and returns up to 50,000 tokens per response.

Which providers offer Mercury 2?

Mercury 2 is available from Inception Labs through LiteLLM, using the model name inception/mercury-2.

How do I call Mercury 2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="inception/mercury-2", 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 support?

Mercury 2 supports function calling, structured output and prompt caching.

When did LiteLLM add Mercury 2?

Mercury 2 was added to LiteLLM's model price file in June 2026.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.

LiteLLM docs: Inception Labs.

Provider pages: Inception Labs.