mistralaimodel

Mistral: Saba

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...

text cheap

Best for

Bulk Data ExtractionHigh-Volume Tasks

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Context Window

33K tokens ≈ 73 pages of text

Input Cost

Free

Output Cost

—

Latency p50

21ms

Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.00

Output (per 1M tokens)

$0.00

Price history

7/26/2026$0.20 in / $0.60 out

7/26/2026$0.00 in / $0.00 out

7/25/2026$0.00 in / $0.00 out

7/24/2026$0.20 in / $0.60 out

7/24/2026$0.00 in / $0.00 out

Hallucination Score™ (est.)

Community reliability estimate · not official

Generally reliable

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

mistralai

Usage & Examples

Learn how to use Mistral: Saba

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Mistral: Saba works best.

Community Prompts

Proven prompts shared by the community for this model

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