- Provider
- Mistral AI
- Context window
- 32K ctx
- Max output
- -
- Input price
- $0.20 / 1M tokens
- Output price
- $0.60 / 1M tokens
- License
- Apache 2.0
- Open weights
- Yes
Mistral Small is a lightweight language model positioned for developers needing cost-efficient text processing. With its 32k token context window, it fills a niche between tiny models and more capable but expensive large models. The Apache 2.0 license makes it particularly attractive for commercial applications where open weights are preferred.
Compared to similarly sized models, Mistral Small distinguishes itself with its generous context capacity while maintaining competitive pricing. It sits below Mistral’s own larger offerings in terms of capability but above minimal models in terms of context handling. The model’s pricing structure favors input-heavy workloads.
Developers needing an affordable, open-weights model for text processing at scale should consider Mistral Small. It’s particularly suited for applications where cost control and permissive licensing outweigh the need for state-of-the-art performance. Enterprises with high-volume text processing needs may find the pricing structure advantageous.
Modality
Use cases
Pros & cons
Pros
- Cost-efficient with competitive input and output pricing
- Large context window for a small model
- Open weights under Apache 2.0 license
- Permissive licensing for commercial use
Cons
- No specified maximum output length
- Limited to text modality only
- May lack capabilities of larger models
- Pricing may vary by volume not specified here
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Compare Mistral Small
Read the official docs
Mistral Small