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NVIDIA NIM

Mistral Medium 3 Instruct on NVIDIA NIM

Mistral Medium · MistralAI

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Last refreshed 2026-05-05. Next refresh: weekly.

Why use Mistral Medium 3 Instruct on NVIDIA NIM?

NVIDIA NIM offers Mistral Medium 3 Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Mistral Medium 3 Instruct across 2 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: mistralai/mistral-medium-3-instruct
Model ID
mistralai/mistral-medium-3-instruct

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID mistralai/mistral-medium-3-instruct.

Gotchas

  • Use provider model ID "mistralai/mistral-medium-3-instruct", not the LLMReference slug "mistral-medium-3-instruct".

Compare Mistral Medium 3 Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
NVIDIA NIM
Mistral AI Studio$0.40$2.00

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr

Capabilities

No model capability flags are currently sourced.

About Mistral Medium 3 Instruct

Mistral Medium 3, a mid-size instruction-tuned model from Mistral AI.

FAQ

What is the context window for Mistral Medium 3 Instruct on NVIDIA NIM?

Mistral Medium 3 Instruct supports a 128,000 token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Mistral Medium 3 Instruct providers?

Mistral Medium 3 Instruct is available from 2 providers. The cheapest input pricing is $0.40/1M tokens from Mistral AI Studio.

What API model ID do I use for Mistral Medium 3 Instruct on NVIDIA NIM?

Use the model ID mistralai/mistral-medium-3-instruct when calling NVIDIA NIM's API.

Who created Mistral Medium 3 Instruct?

Mistral Medium 3 Instruct was created by MistralAI as part of the Mistral Medium model family.

Is Mistral Medium 3 Instruct open source?

Mistral Medium 3 Instruct is open source according to the seed data.

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Model Specs

Released2025-10-01
Context128K
ArchitectureDecoder Only