Pricing structure
For Mistral, pricing depends on the language model used. Here are several price points they offer: Prices are per 1M tokens used. You can think of tokens as pieces of words (learn more here).”Models | Input | Output |
---|---|---|
mistral-small | $1 / 1M tokens | $3 / 1M tokens |
mistral-medium | $2.7 / 1M tokens | $8.1 / 1M tokens |
mistral-large | $4 / 1M tokens | $12 / 1M tokens |
Get started
1
Set up Lago
2
Create a billable metric
Create a single billable metric to track token usage across different models and input/output types.Refer to the API reference and guide on filters to learn more.
- Add a unique
code
for your billable metric - Set
aggregation_type
tosum_agg
- Set
field_name
totokens
- Set
recurring
tofalse
- Set
filters
to distinguish between models and token types
3
Create a plan
Create a plan to price packages of tokens used with Mistral’s specific pricing tiers.Refer to the API reference and guide on charges with filters to learn more.
- Add a unique
code
for your plan - Under
charges
, configure pricing tiers for different models and token types
4
Create a customer
5
Prepay usage with credits
- Create a wallet with the customer’s
external_customer_id
, set the walletcurrency
andrate_amount
for credit conversion
- Create a subscription for the customer with the plan’s
code
.
6
Ingest usage via events
Send usage events to Lago to track usage.Refer to the API reference to create an event.
- Reference your billable metric with
code
- Reference the customer’s subscription with
external_subscription_id
- Include usage and filters data in
properties
7
Monitor current usage
Track real-time customer usage for the current billing period.Refer to the API reference to get the current usage.