Mistral 7B Instruct v0.3

MistralMCP Tool Call
mistral/mistral-7b-instruct-v0.3Open Weights

Open 7B Mistral instruction model with function calling

Benchmark Pricing$0.20 / 1M in$0.20 / 1M out$0.20 cache read
Context: 32,768 tokens•Max Output: 32,768 tokens•Released: 2024-05-22

TECHNICAL SPECIFICATIONS

Context Window32,76832.8K tokens
Max Output32,76832.8K tokens
LicenseApache 2.0Self-hostable
Input Modalities
Text
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Mistral 7B Instruct v0.3 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 Mistral 7B Instruct v0.3 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-7b-instruct-v0.3",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

2 providers
Nvidiamistralai/mistral-7b-instruct-v0.3
$0.00 / $0.00
Pioneermistralai/Mistral-7B-Instruct-v0.3
$0.20 / $0.20$0.20 cache

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

Prompt Caching Active

This model supports prompt caching at $0.20 / 1M tokens, saving up to 0% on repetitive MCP tool definitions and system instructions.