LLM Reference

Mistral 7B v0.1 on Vultr

Mistral 7B · MistralAI

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

Why use Mistral 7B v0.1 on Vultr?

Vultr offers Mistral 7B v0.1 with competitive pricing. Vultr is a cloud infrastructure company headquartered in West Palm Beach, Florida.

Compare Mistral 7B v0.1 across 16 providers to find the best fit for your use case
Input / 1M
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Output / 1M
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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: mistral-7b
Model ID
mistral-7b

Request example

Curated snippets for this provider are not sourced yet. Use Vultr documentation with model ID mistral-7b.

Gotchas

  • Use provider model ID "mistral-7b", not the LLMReference slug "mistral-7b-v0.1".

Compare Mistral 7B v0.1 Across Providers

ProviderInput (per 1M)Output (per 1M)
GCP Vertex AI$0.08$0.24
OctoAI API (Deprecated)$0.15$0.15
DeepInfra$0.05$0.15
Mistral AI Studio$0.25$0.25
Baseten API
View all 16 providers →

Capabilities

No model capability flags are currently sourced.

About Mistral 7B v0.1

Mistral 7B v0.1 is an advanced open-source large language model built by Mistral AI, consisting of 7 billion parameters. It's designed to deliver high performance and efficiency, outperforming many similar-sized models in various benchmarks. The model employs a transformer architecture with innovative features like Sliding Window Attention, Grouped-Query Attention, and a Byte-fallback BPE tokenizer, enhancing speed, reducing computational costs, and improving robustness. Capable of generating human-like text, following instructions effectively, and excelling in areas such as reasoning and mathematics, Mistral 7B v0.1 does have limitations, such as a lack of built-in moderation and a potential for hallucinations. Subsequent versions have sought to address these limitations while introducing extended context windows and improved instruction-following capabilities.

FAQ

What is the context window for Mistral 7B v0.1 on Vultr?

Mistral 7B v0.1 supports a 8k token context window on Vultr.

How does Vultr compare to other Mistral 7B v0.1 providers?

Mistral 7B v0.1 is available from 16 providers. The cheapest input pricing is $0.05/1M tokens from DeepInfra.

What API model ID do I use for Mistral 7B v0.1 on Vultr?

Use the model ID mistral-7b when calling Vultr's API.

Who created Mistral 7B v0.1?

Mistral 7B v0.1 was created by MistralAI as part of the Mistral 7B model family.

Is Mistral 7B v0.1 open source?

Mistral 7B v0.1 is open source under Apache 2.0 according to the seed data.

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