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Mistral AI Studio

Mistral Medium on Mistral AI Studio

Mistral Medium · MistralAI

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Why use Mistral Medium on Mistral AI Studio?

Mistral AI Studio offers Mistral Medium with pay-as-you-go pricing at $1.50/1M input tokens. Mistral AI is a French company developing advanced language models and AI technologies.

Compare Mistral Medium across 2 providers to find the best fit for your use case

Compare Mistral Medium Across Providers

ProviderInput (per 1M)Output (per 1M)
Mistral AI Studio$1.50$7.50
OpenRouter$0.40$2.00

Pricing

TypePrice (per 1M)
Input tokens$1.50
Output tokens$7.50

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode Execution

About Mistral Medium

Mistral Medium is a versatile large language model developed by Mistral AI, designed to handle a wide array of tasks with a robust 32k token context window, allowing it to process approximately 24,000 words. Built on a transformer architecture, it offers native fluency in multiple languages, including English, French, Spanish, German, and Italian, enhancing its multilingual reasoning capabilities. Available via API, Mistral Medium is proprietary and stronger than some of Mistral AI's open-source models like Mixtral 8x7B and Mistral-7B. While it is described as more cost-effective than models such as GPT-4, specific pricing details are not provided 11011.

FAQ

What does Mistral Medium cost on Mistral AI Studio?

On Mistral AI Studio, Mistral Medium costs $1.50 per 1M input tokens and $7.50 per 1M output tokens.

What is the context window for Mistral Medium on Mistral AI Studio?

Mistral Medium supports a 32,000 token context window on Mistral AI Studio.

How does Mistral AI Studio compare to other Mistral Medium providers?

Mistral Medium is available from 2 providers. The cheapest input pricing is $0.4/1M tokens from OpenRouter.

Who created Mistral Medium?

Mistral Medium was created by MistralAI as part of the Mistral Medium model family.

Is Mistral Medium open source?

Mistral Medium is open source under Apache 2.0 according to the seed data.

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Model Specs

Released2023-12-11
Context32K
ArchitectureDecoder Only

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