Mistral: Mistral Large 3 2512
Scale Intelligence Efficiently
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
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Start generating with Mistral: Mistral Large 3 2512 on ModelsLab.