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.
- Input
- $0.20 / 1M tokens
- Output
- $0.75 / 1M tokens
- Cache read
- $0.02 / 1M tokens
- Context window
- 260,000 tokens
- Max output
- 65,536 tokens
- Providers
- 1
- Added to LiteLLM
- September 11, 2026
Mercury 2.5 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.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Inception Labs | inception/mercury-2.5 | $0.20 | $0.75 | $0.02 | 260K |
What Mercury 2.5 costs in practice
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 |
Mercury 2.5 features
- Function calling
- Structured output
- Prompt caching
Use Mercury 2.5 with LiteLLM
Call Mercury 2.5 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.
from litellm import completion
response = completion(
model="inception/mercury-2.5",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: mercury-2.5
litellm_params:
model: inception/mercury-2.5
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "mercury-2.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'Mercury 2.5 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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Inception Labs.
Provider pages: Inception Labs.
