**Mistral AI announced Mistral Small 3.1. It’s an open-source model that outperforms similar models like GPT-4o Mini or [Gemma 3](/gemma3-an-ai-model-that-can-run-on-a-single-gpu/) in several benchmarks and terms of inference speed.**
Image: Generated with AI
## The details
* Mistral Small 3.1, built on Mistral Small 3, has improved text performance, multimodal understanding, and an expanded context window (up to 128k tokens).
* The new model is very fast, with an inference speed of 150 tokens per second. See the benchmark results in the image below.
* Mistral Small 3.1 is a model designed to handle various AI tasks, such as following instructions, providing conversational assistance, understanding images, and making function calls.
* The model is perfect for on-device use cases. It can run on a Mac with 32 GB RAM or a single NVIDIA RTX 4090. Ideal for local agentic workflows. It’s available on [Hugging Face](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503){:target="_blank" rel="noopener"} and [Ollama](https://ollama.com/library/mistral-small:24b){:target="_blank" rel="noopener"}.
Mistral Small 3.1 Benchmark (Image by Mistral AI)
**Our thoughts**
Mistral AI is known for its fast and efficient open-source models that can compete with commercial models. From our perspective, Mistral AI is doing impressive work and is an important part of the open-source AI community. The company is a true European AI champion.
**More information:** 🔗 [Mistral AI](https://mistral.ai/news/mistral-small-3-1){:target="_blank" rel="noopener"}
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