mistral/mistral-sabaClosed APIMistral model for multilingual chat, reasoning, and tool-assisted workflows
TECHNICAL SPECIFICATIONS
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
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
This model supports prompt caching at $0.10 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
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