Overview

Mistral Large 3 675B represents the pinnacle of our vision-enabled family, engineered for complex reasoning and extensive context retention. With 128,000 tokens and FP16 precision, this proprietary model delivers state-of-the-art performance across multilingual tasks, including rigorous benchmarks in Arabic and English. Developers can integrate this powerhouse immediately via our standardized API, ensuring your first successful call happens within minutes of reviewing the documentation. The architecture supports high-fidelity output suitable for research pipelines requiring precise comparison against alternative large-scale models for validation.

Designed for production environments, this model offers robust native Arabic support alongside global languages, eliminating the need for additional localization layers. Operating on a transparent credit system with a four times multiplier relative to base rates, it provides predictable costing for enterprise scaling without requiring sales consultations. Available from the starter tier, Mistral Large 3 675B ensures business decision makers can deploy secure, compliant AI solutions immediately. Our platform guarantees the reliability needed for critical applications, balancing advanced cognitive capabilities with operational efficiency for diverse organizational needs.

Specifications

Display Name Mistral Large 3 675B

Family Mistral

Category Vision

Parameters 675B

Context Window 128,000 tokens

Quantization FP16

License PROPRIETARY

Min Tier Starter

Status Available

Pricing

4×

credits per token

1K 4,000 Credits

10K 40,000 Credits

100K 400,000 Credits

View Pricing Plans

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://llmapi.resayil.io/v1/",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistral-large-3:675b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

const response = await fetch(
    "https://llmapi.resayil.io/v1/chat/completions",
    {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": "Bearer YOUR_API_KEY"
        },
        body: JSON.stringify({
            model: "mistral-large-3:675b",
            messages: [
                { role: "user", content: "Hello!" }
            ]
        })
    }
);

const data = await response.json();
console.log(data.choices[0].message.content);

curl https://llmapi.resayil.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "mistral-large-3:675b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Use Cases

Analyzing complex charts within lengthy financial reports.

Generating code from user interface screenshot designs.

Summarizing extensive legal documents containing embedded images.

Interpreting scientific diagrams across multi chapter research papers.

Extracting data from large batches of invoice scans.

In-Depth Guide

Full Guide

Complete Guide to Mistral Large 3 675B — LLM Resayil

Mistral Large 3 675B