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Mistral AI

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AI LabsMistral AI

AI in abundance

We’re taking new steps in our mission to bring frontier AI in the hands of everyone. Today, we are releasing:

  • A free tier on la Plateforme

  • A pricing update over our entire family of models

  • A new, better Mistral Small

  • Free vision capabilities on le Chat with Pixtral 12B

Free tier on la Plateforme

La Plateforme, the serverless platform to tune and build with Mistral models as API endpoints, now offers a free tier enabling developers to get started with experimentation, evaluation, and prototyping at no cost. Users can seamlessly evolve their endpoints into a commercial tier, and benefit from full data isolation (with a free zero-retention option) and higher rate limits. Users can also choose to deploy our models to different infrastructure: whether using our cloud partners (Azure / AWS / GCP), or choosing to deploy our solutions on their own tenant.

Reduced prices across the board

We’ve worked hard on making our endpoints faster and more efficient. This enables us to reduce prices across the board, with the following prices

Model

New price

Old price

Price drop

Mistral Nemo

$0.15 / M input tokens

$0.3 / M tokens

50%

$0.15 / M output tokens

$0.3 / M tokens

Pixtral 12B

$0.15 / M input tokens

$0.15 / M output tokens

Mistral Small

$0.2 / M input tokens

$1 / M input tokens

80%

$0.6 / M output tokens

$3 / M output tokens

Codestral

$0.2 / M input tokens

$1 / M input tokens

80%

$0.6 / M output tokens

$3 / M output tokens

Mistral Large

$2 / M input tokens

$3 / M input tokens

33%

$6 / M output tokens

$9 / M output tokens

This price update makes Mistral Large 2 the most cost-efficient frontier model, make our smaller models extremely cost efficient, and allows customers to realize significantly faster returns on their AI investments. Updated pricing will also reflect on our cloud platform partner offerings (Azure AI Studio, Amazon Bedrock, Google Vertex AI).

Small gets a big update

We’re releasing Mistral Small v24.09 under the MRL license. You may self-deploy it for non-commercial purposes, using e.g. vLLM

Original source

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