// mistralai

Saba

mistralai/mistral-saba

tool callingfile inputprompt caching
OpenRouter + LiveBenchAll modelsFull leaderboard

Saba costs $0.200 per 1M input tokens and $0.600 per 1M output tokens with a 33K-token context window.

A tool-calling model from mistralai, released Feb 17, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.200
Output / 1M
$0.600
Context
33K
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.200
Output price

USD per 1M completion tokens, reasoning included

$0.600
Blended price

3:1 input:output — #101 cheapest of 343 listed models

$0.300
Cached input read

Blank means not priced separately — not free

$0.020
Cache write
Context window32,768 tokens
Max output26,214 tokens
Input modalitiestext, file
Tool callingYes
Extended reasoningNo
Knowledge cutoff2024-09-30
ListedFeb 17, 2025
All Mistral API pricing

What Saba costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$83.04/mo
RAG assistant

8K in / 600 out × 100K requests

$124.00/mo
Coding agent

40K in / 4K out × 20K requests

$107.20/mo
Document extraction

20K in / 1.5K out × 50K requests

$236.00/mo
Bulk classification

500 in / 20 out × 5M requests

$470.00/mo
Price your own workload

Compare Saba with

Benchmarked models at a similar price.

Saba FAQ

How much does Saba cost?

Saba lists at $0.200 per 1M input tokens and $0.600 per 1M output tokens, with cached input reads at $0.020 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $124.00 at list price.

What is the context window of Saba?

Saba accepts up to 32,768 tokens of context and can return up to 26,214 output tokens per response.

Does Saba support tool calling?

Yes — Saba supports tool (function) calling. It accepts text, file input.

How does Saba score on benchmarks?

LiveBench has not published a run for Saba yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for Saba?

On OpenRouter the model ID is "mistralai/mistral-saba". It was listed on Feb 17, 2025.

More from mistralai

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranksLiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.