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Mistral AI · Released Feb 17, 2025

Saba

Mistral model for multilingual chat, reasoning, and tool-assisted workflows.

  • Proprietary
  • Tool calling
Capability
—No ECI score yet
Input
$0.20per 1M tokens
Output
$0.60per 1M tokens
Context
33K26K max output
Pricing

What it costs

Input
$0.20per million tokens
Output
$0.60per million tokens
Blended (3:1)
$0.30cheaper than 69% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$0.70
Team assistant25M input + 5M output tokens$8.00
Production app250M input + 50M output tokens$80.00

Median of 4 paid API providers on models.dev.

Capability

Independent benchmarks

Epoch AI has not published a Capabilities Index score for Saba yet.

Specifications

The details

Lab
Mistral AI
Released
Feb 17, 2025
Knowledge cutoff
Sep 30, 2024
Context window
32,768 tokens
Max output
26,214 tokens
Inputs
Text, PDFs
Output
Text
Reasoning
No
Tool calling
Yes
Structured output
No
Weights
Proprietary
Availability
4 API providerslisted on models.dev
Same lab

More from Mistral AI

Questions

About Saba

How much does Saba cost?

Saba costs $0.20 input / $0.60 output per million tokens (median across 4 API providers). At a 3:1 input-to-output mix that is $0.30 per million tokens, cheaper than 69% of the 445 priced models we track.

What is the context window of Saba?

Saba accepts up to 32,768 tokens per request and can write up to 26,214 tokens in one response.

How good is Saba?

Epoch AI has not published a Capabilities Index score for Saba yet.

Is Saba open source?

No. Saba is proprietary; you use it through an API or partner platforms.

What inputs does Saba support?

Saba accepts text and PDFs and replies in text. It is not a dedicated reasoning model, supports tool calling.

When was Saba released?

Mistral AI released Saba on Feb 17, 2025. Its training data runs to Sep 30, 2024.

What are the best alternatives to Saba?

The closest current models from other labs on capability, price and release date are Solar Pro 2 (Upstage, $0.25 / $0.25), Command R (Cohere, $0.15 / $0.60), Llama 3.3 Nemotron Super 49B v1 (NVIDIA, $0.15 / $0.15) and Phi-4-mini (Microsoft, $0.075 / $0.30).