Mistral: Saba
Analysis Summary
Mistral Saba is a compact Mistral model with text and file input, tool use, and function calling. Its 32K context window is adequate for short briefs, product records, and focused support tasks, while the $0.20 input and $0.60 output pricing makes it inexpensive to operate. The available reasoning and knowledge measurements are limited, so it should not be treated as a high-stakes analysis model.
The practical fit is high-volume classification, short SEO drafts, metadata generation, routing, and simple API-connected workflows. It can reduce costs where prompts and outputs are narrow and validation is straightforward. Limited long-context capacity, no listed vision support, and weaker reasoning constrain its use for complex client content or autonomous agents.
Adopt Saba as a budget automation component with strong guardrails. It is useful for routine workloads, but premium models remain preferable for nuanced writing and technical decisions.
Assessed August 9, 2026
Editorial notes
Mistral Saba offers tool use and function calling at very low token prices, with a 32K context window. Its limited reasoning and coding results restrict it to routine, tightly scoped automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Saba offers tool use and function calling at very low token prices, with a 32K context window. Its limited reasoning and coding results restrict it to routine, tightly scoped automation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.2 Intelligence Index
How Mistral: Saba compares
Mistral: Saba ranks #344 of 432 AI models we track for overall intelligence. Its 33K-token context window is larger than 26% 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 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.