Mistral: Saba

Mistral: Saba

mistralai · Released Feb 17, 2025 Professional
Intelligence #14 / 590
82.0 Our Score
AA Index #298 / 385
6.4 Artificial Analysis
Input #277 / 592
$0.200 per 1M tokens
Output #274 / 592
$0.600 per 1M tokens
Context #406 / 592
32,768 tokens

Analysis Summary

Mistral Saba is a lightweight model from Mistral, positioned for cost-effective text generation and structured task execution. It supports tool use and function calling, which extends its utility into basic agentic workflows. At $0.20 input and $0.60 output per million tokens, it is among the more affordable options from a major providers.

Its intelligence index of 6.4 and GPQA of 0.424 indicate limited reasoning depth, making it unsuitable for complex analysis or multi-step problem solving. The 32K context window is a meaningful constraint for long-document tasks. It is best deployed on well-defined, repetitive tasks such as content formatting, classification, or simple Q&A.

For teams needing a low-cost, reliable model for high-volume structured tasks, Saba offers a reasonable balance of capability and price within the Mistral ecosystem. It is not a fit for reasoning-heavy or agentic workloads.

Assessed June 30, 2026

Editorial notes

Mistral Saba is a compact, affordable model from Mistral with tool use and function calling, suited to structured content and lightweight automation tasks at $0.20 input per million tokens.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence1.7Technical0Value7.5Content0
Intelligence 1.7/10
Technical 0/10
Content 0/10
Value 7.5/10

How Mistral: Saba compares

Mistral: Saba ranks #298 of 385 AI models we track for overall intelligence. Its 33K-token context window is larger than 31% of the models we list. At $0.20 per million input tokens it is cheaper than 53% of comparable models.

About 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..

Capabilities

Tool Use Function Calling

Performance Indices

Source: Artificial Analysis

6.4 Intelligence Index

Benchmark Scores

Intelligence

GPQA Diamond 42.4% Graduate-level scientific reasoning
HLE 4.1% Humanity's Last Exam
MMLU Pro 61.1% Multi-task language understanding
MATH 500 67.7% Mathematical problem-solving
AIME 13% Competition mathematics
SciCode 24.1% Scientific computing

Benchmark data from Artificial Analysis and Hugging Face

How does Mistral: Saba stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID mistralai/mistral-saba
Providermistralai
Model FamilyMistral
Release Date February 17, 2025
Context Length32,768 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.20 $0.000200
Output $0.60 $0.000600

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

100%
Avg Uptime
502ms
Best Latency (TTFT)
70 tok/s
Best Throughput
1/1
Active Endpoints
Available via: Mistral

Leaderboard Categories

Frequently asked questions about Mistral: Saba

How much does Mistral: Saba cost?

Mistral: Saba costs $0.20 per million input tokens and $0.60 per million output tokens.

What is the context window of Mistral: Saba?

Mistral: Saba has a context window of 32,768 tokens (33K).

What can Mistral: Saba do?

Mistral: Saba supports tool use and function calling.

Who created Mistral: Saba?

Mistral: Saba is developed by Mistral and was released on February 17, 2025.