Saba

Saba by Mistral AI excels in the Coding category, where it ranks #249 with a composite score of 37/100. Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, it supports multiple Indian-origin languages—including Tamil and Malayalam—alongside Arabic. This makes it a versatile option for a range of regional and multilingual applications. Read more at the blog post [here](https://mistral.ai/en/news/mistral-saba) It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Saba is priced at $0.20 per million input tokens and $0.60 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Saba holds rank #249 out of 6 models tracked. Its quality rank is #249 and adoption rank is #249. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Saba has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (72/100), Output Capacity (20/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 37/100 reflects a weighted combination of all tracked signals.

Saba is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.