Mistral: Saba

Text input Text output
Author's Description

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...

Key Specifications
Cost
$$
Context
32K
Parameters
24B (Rumoured)
Released
Feb 17, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Seed Tools Frequency Penalty Structured Outputs Top P Response Format Temperature Stop Presence Penalty Tool Choice Max Tokens
Features

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

Mistral: Saba demonstrates a strong overall performance profile, particularly excelling in reliability and offering competitive pricing. It consistently provides usable responses with a 100% success rate across all benchmarks, indicating exceptional stability. The model performs among the fastest models, ranking in the 72nd percentile for speed, and offers cost-effective solutions, placing in the 71st percentile for price. In terms of specific benchmarks, Mistral: Saba shows remarkable accuracy in Ethics (100%), achieving perfect scores and being the most accurate model at its price point and speed. It also performs very well in Hallucinations (98.0% accuracy), effectively acknowledging uncertainty. Its General Knowledge and Email Classification capabilities are solid, with 97.8% and 98.0% accuracy respectively. However, the model exhibits notable weaknesses in Reasoning (60.0% accuracy) and Coding (79.0% accuracy), where its performance falls below the 40th percentile. Instruction Following also presents a moderate challenge at 63.0% accuracy. While generally fast, its duration for General Knowledge and Reasoning tasks is on the higher side. Overall, Mistral: Saba is a highly reliable and cost-efficient model, particularly strong in ethical considerations and avoiding hallucinations, but could benefit from improvements in complex reasoning and coding tasks.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.2
Completion $0.6
Input Cache Read $0.02

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-saba-2502 32K $0.2 / 1M tokens $0.6 / 1M tokens
Groq
Groq | mistralai/mistral-saba-2502 32K $0.2 / 1M tokens $0.6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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