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Mistral: Mistral Large 3 2512Scale Intelligence Efficiently

Try Mistral: Mistral Large 3 2512API Documentation

Deploy Frontier Capabilities

Sparse MoE

675B Total 41B Active

Activates 41B parameters from 675B total for dense-model speed at frontier scale.

256k Context

Long-Context Comprehension

Handles 256k tokens for retrieval-augmented generation and enterprise workflows.

Native Vision

Image Input Supported

Processes charts, invoices, screenshots with built-in vision encoder.

Examples

See what Mistral: Mistral Large 3 2512 can create

Copy any prompt below and try it yourself in the playground.

Code Review

“Analyze this Python function for bugs and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”

Chart Analysis

“Describe trends in this sales chart image, predict Q4 growth, and recommend strategies. [attach image]”

Multilingual Summary

“Summarize this French technical document in English, highlight key innovations, extract action items.”

Agent Workflow

“Plan a marketing campaign: research competitors, draft emails, generate A/B test variants using function calls.”

For Developers

A few lines of code.
MoE Power. Simple Calls.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Mistral: Mistral Large 3 2512

Read the docs

open-weight multimodal MoE LLM with 41B active and 675B total parameters. Supports 256k context and vision input. Ideal for instruction tasks and long-context use.

OpenAI-compatible endpoint for chat, agents, and function calling. Input text or images; get structured outputs. Priced at $0.50/M input tokens.

Yes, built-in vision encoder handles image analysis like OCR on invoices and chart interpretation. No separate tools needed.

256k tokens enable complex workflows like RAG and scientific analysis. Outperforms dense models in long-context tasks.

Apache 2.0 licensed, trained on 3000 H200s for top open performance in multilingual and instruction benchmarks. Efficient inference via sparse MoE.

Yes, for agentic workflows. Combine with 256k context and vision for production assistants.

Ready to create?

Start generating with Mistral: Mistral Large 3 2512 on ModelsLab.

Try Mistral: Mistral Large 3 2512API Documentation