Mistral Medium 3 API Pricing

Mistral has deprecated this model. The price is kept here for reference; check the provider's documentation before building on it.

Mistral · released May 7, 2025 · 131K context · API model ID mistral-medium-2505

Mistral Medium 3 by Mistral API pricing: $0.40 per 1M input tokens and $2.00 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).

Prices

Mistral Medium 3 prices, USD per 1M tokens
PriceUSD per 1M tokens
Input$0.40
Output$2.00
Cache readNot published
Cache writeNot published

Mistral's list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation

Estimated monthly cost

$420.00

per month

per day
$14.00
per request
$0.0014

Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.

Compare this workload across models

Monthly cost by workload

WorkloadPer month
Chatbot1,000 in / 500 out tokens, 10,000 requests a day$420.00/mo
RAG8,000 in / 500 out tokens, 5,000 requests a day$630.00/mo
Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input$720.00/mo

Context and capabilities

Context
131,072 tokens
Max output
131,072 tokens
Input
text, image
Output
text
Knowledge cutoff
May 2025
Open weights
No
Tool calling
Yes
Reasoning
No
Structured outputs
No

Capabilities and limits as listed by models.dev.

Similarly priced models

Price history

No price changes since we started tracking on Oct 8, 2026.

Questions

How much does Mistral Medium 3 cost per month?
For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Mistral Medium 3 costs about $420.00 per month at Mistral's list prices ($0.40 per 1M input tokens, $2.00 per 1M output tokens).
Does Mistral Medium 3 support prompt caching?
No cache read price is published for Mistral Medium 3.
How long is Mistral Medium 3's context window?
Mistral Medium 3 accepts up to 131,072 tokens (131K) of context and returns up to 131,072 tokens per response.