Mistral: Saba
Analysis Summary
Mistral Saba is a text and file model with a 32K context window, tool use, and function calling. Pricing is low at $0.20 per million input tokens and $0.60 per million output tokens, supporting economical deployment for repetitive requests and structured automation.
It can serve lightweight content operations, file-based extraction, and simple tool-driven workflows where tasks are narrow and easy to verify. The measured reasoning and coding signals are limited, and the shorter context window reduces its usefulness for large documents or codebases. Use it as a cost-controlled utility model with clear validation and escalation rules.
Assessed September 7, 2026
Editorial notes
Mistral Saba offers tool use, function calling, file input, and low pricing for routine automation; its measured reasoning capability is limited, so it is better suited to contained workflows than complex analysis.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Saba offers tool use, function calling, file input, and low pricing for routine automation; its measured reasoning capability is limited, so it is better suited to contained workflows than complex analysis.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
1 Intelligence Index
How Mistral: Saba compares
Mistral: Saba ranks #355 of 435 AI models we track for overall intelligence. Its 33K-token context window is larger than 25% of the models we list. At $0.20 per million input tokens it is cheaper than 57% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.60 | $0.000600 |
What would Mistral: Saba cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Saba for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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.