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Mistral AI ↗Released September 27, 2023

Mistral 7B

Open Source7B parameters

Mistral 7B is Mistral AI's entry in a crowded field. Context window: 0.032K tokens.

Context

32K

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

32K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

7B

🔓

Open Source

Yes

Best For

Efficient tasksfine-tuningedge deployment

About Mistral 7B

Mistral 7B, developed by Mistral AI, is a compact open-source model with 7 billion parameters and a 32K token context window. The model outperformed all existing open-source models in its size class at the time of release, demonstrating that architectural efficiency could compensate for smaller parameter counts. It uses grouped-query attention and sliding window attention mechanisms to achieve fast inference on consumer hardware. Mistral 7B handles coding, summarization, classification, and conversational tasks competently. Free and fully open-source under the Apache 2.0 license, it became one of the most downloaded and fine-tuned models on Hugging Face. The model established Mistral AI as a credible competitor in the foundation model market and proved that a small European startup could produce models rivaling larger American and Chinese competitors.

Built byMistral AI↗

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Compare Mistral 7B

See how Mistral 7B stacks up against other leading AI models

Mistral 7B vs Mistral LargeCompare →Mistral 7B vs Mistral Large 2Compare →Mistral 7B vs Mixtral 8x22BCompare →Mistral 7B vs Mistral MediumCompare →Mistral 7B vs Mistral SmallCompare →

Other Mistral AI Models

Mistral Large
256K#8
Mistral Large 2
128K#8
Mixtral 8x22B
64K#16
Mistral Medium
128K#16
Mistral Small
32K#19

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Explore More

Model Benchmarks →All Models →Mistral AI Company Profile →

Frequently Asked Questions

What is Mistral 7B?▾
Mistral 7B, developed by Mistral AI, is a compact open-source model with 7 billion parameters and a 32K token context window. The model outperformed all existing open-source models in its size class at the time of release, demonstrating that architectural efficiency could compensate for smaller parameter counts. It uses grouped-query attention and sliding window attention mechanisms to achieve fast inference on consumer hardware. Mistral 7B handles coding, summarization, classification, and conversational tasks competently. Free and fully open-source under the Apache 2.0 license, it became one of the most downloaded and fine-tuned models on Hugging Face. The model established Mistral AI as a credible competitor in the foundation model market and proved that a small European startup could produce models rivaling larger American and Chinese competitors.
How much does Mistral 7B cost?▾
Input pricing for Mistral 7B is Free (open) per million tokens; output runs Free (open). Token-based pricing means you can scale up or down without a fixed commitment.
What is Mistral 7B's context window?▾
The context window for Mistral 7B is 32K tokens. That's the maximum amount of text you can feed into a single prompt, including system instructions, conversation history, and the actual query.
Is Mistral 7B open source?▾
Mistral 7B is fully open source. You can grab the weights, run it on your own hardware, and fine-tune it for specific tasks. That flexibility is a big deal for teams with strict data requirements.
What is Mistral 7B best for?▾
The sweet spot for Mistral 7B is: Efficient tasks, fine-tuning, edge deployment. If your workload fits one of these categories, it's worth benchmarking against alternatives.