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Top-Tier Reasoning

Mistral Medium 3

Mistral Medium 3 is a frontier-class language model that delivers state-of-the-art performance at up to 8 times lower cost than leading alternatives, making it ideal for enterprise applications like coding, reasoning, and multimodal understanding. With a 128,000 token context window and support for multilingual and multimodal inputs, it provides professional-grade capabilities with exceptional cost-efficiency and easy deployment.

128k Context
Top-Tier Intelligence
Mar '25 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

HumanEval
85.4%
MMLU
57.8%
GPQA
40.0%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Mistral Medium 3?

State-of-the-art Coding Performance

Leads in coding and STEM tasks, matching large models like GPT-4o at 8X lower cost

Multimodal Understanding

Processes text and images for visual QA, document parsing, and charts with high-quality text outputs

Long Context Reasoning

Handles 128K context window for large documents, multi-step agents, and extended dialogues

Capability Examples

Multimodal Document Analysis
Analyze this scanned invoice image: extract the total amount, date, and vendor name.
The invoice from Acme Corp, dated 2025-03-15, shows a total amount of $1,247.50. Key line items include consulting services $800, materials $400, tax $47.50.
Long Context Code Summarization
Here's a 50k token Python codebase for a trading algorithm. Summarize its architecture, key functions, and potential bugs with the 128k context.
This trading algo uses a modular design: data_fetcher.py pulls market data via API, analyzer.py applies ML models for signals (LSTM predictor may overfit without validation), executor.py handles orders via broker integration. Bugs: race conditions in async trades, missing error handling in API retries. Recommend adding locks and try-except blocks.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Mistral Medium 3 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Mistral Medium 3 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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