Saba

MistralMCP Tool Call
mistral/mistral-sabaClosed API

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

Benchmark Pricing$0.20 / 1M in$0.59 / 1M out$0.10 cache read
Context: 32,768 tokens•Max Output: 26,214 tokens•Knowledge: 2024-09-30•Released: 2025-02-17

TECHNICAL SPECIFICATIONS

Context Window32,76832.8K tokens
Max Output26,21426.2K tokens
LicenseProprietaryCloud API only
Input Modalities
TextPDF
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Saba natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 32,768 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.

API CALL INVOCATION EXAMPLE

// Example: Calling Saba via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.MISTRAL_API_KEY,
});

const response = await client.chat.completions.create({
  model: "mistral/mistral-saba",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

4 providers
NanoGPTmistralai/mistral-saba
$0.20 / $0.59$0.10 cache
AI/ML APImistralai/mistral-saba
$0.28 / $0.83$0.03 cache
Kilo Gatewaymistralai/mistral-saba
$0.20 / $0.60$0.02 cache
OpenRoutermistralai/mistral-saba
$0.20 / $0.60$0.02 cache

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.10 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES