Mistral AI

Mistral Small 22B

22B parameter model. Strong reasoning and multilingual. Needs 16GB+ RAM.

22B parametersmistralapache-2.032K context12.93GB - 12.93GB VRAM

About This Model

Mistral Small 22B is a large language model developed by Mistral AI, designed for text generation tasks. With 22 billion parameters, it offers a balance between performance and resource requirements, making it a versatile choice for generating coherent and contextually relevant text. The model excels in tasks such as content creation, summarization, and conversational AI, thanks to its impressive context length of 32,768 tokens, which allows it to maintain and understand long sequences of text. This makes it particularly useful for applications where deep context is crucial, such as writing detailed articles or generating complex narratives.

Compared to other models in its size class, Mistral Small 22B holds its own, offering competitive performance with relatively efficient resource usage. It requires around 12.9 GB of VRAM, which is manageable for modern GPUs, making it a practical choice for users who want the benefits of a large language model without the need for high-end hardware. While it may not outperform the largest models in every scenario, its efficiency and strong performance make it a solid choice for a wide range of text generation tasks. Ideal users include developers, content creators, and researchers who need a powerful yet accessible LLM for local deployment. Realistic hardware options include mid-range to high-end consumer GPUs, ensuring that a broad audience can leverage its capabilities.

Check Your Hardware

See which quantizations of Mistral Small 22B your hardware can run.

Quantization Options

QuantizationBitsFile SizeVRAM NeededRAM NeededQuality
Q4_K_M4.512.425 GB12.93 GB13.43 GB
85%

See It In Action

Real model outputs generated via RunThisModel.com — watch responses stream in real time.

Llama 3.3 70B responding...

Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.

Frequently Asked Questions

How much VRAM do I need to run Mistral Small 22B?

Mistral Small 22B requires 12.93GB VRAM minimum with Q4_K_M quantization. For full precision, you need 12.93GB VRAM.

What is the best quantization for Mistral Small 22B?

Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.