API - mistral.ai

2026-07-01 · Source: mistral.ai via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Data Science & Analytics · Depth: Intermediate, medium

Summary

Mistral AI offers a comprehensive suite of API services, encompassing a range of models for text, reasoning, vision, and audio tasks, alongside specialized tools. Key models include Mistral Medium 3.5 (input \$1.5/M tokens, output \$7.5/M tokens), Mistral Small 4 (input \$0.15/M tokens, output \$0.6/M tokens), and Mistral Large 3 (input \$0.5/M tokens, output \$1.5/M tokens), all supporting text-to-text and multimodal capabilities. The OCR 4 model is priced at \$4/1000 pages for document extraction and \$5/1000 pages for Document AI. Voxtral TTS costs \$0.016 per 1k characters for audio generation, while Voxtral Mini Transcribe 2 is \$0.003/min. Coding models like Devstral 2 and Codestral are also available, with Devstral 2 priced at \$0.4/M input tokens and \$2/M output tokens. Enterprise APIs offer enhanced features like regional data processing and SLAs. Additional tools include Libraries, Code execution, Web search, Images, Premium news, and Data capture, each with specific pricing per call or token.

Key takeaway

For AI Engineers evaluating API-based AI solutions, you should assess Mistral AI's diverse model portfolio and transparent pricing structure. Consider the specific capabilities of models like Mistral Medium 3.5 for general tasks or OCR 4 for document processing, balancing performance against cost per token or page. Utilize the Enterprise APIs for robust deployments requiring SLAs and regional data controls, ensuring your project's operational requirements are met.

Key insights

Mistral AI provides a diverse API portfolio with tiered pricing for various AI models and specialized tools.

Principles

• Tiered pricing based on model capability and usage.
• Specialized models for specific tasks like OCR and TTS.
• Enterprise options for advanced operational needs.

In practice

• Integrate text, vision, and audio models via API.
• Utilize specialized tools for web search or code execution.
• Fine-tune Classifier API models for custom tasks.

Topics

• Mistral AI API
• Large Language Models
• Multimodal AI
• Text-to-Speech
• OCR
• Code Generation

Best for: CTO, VP of Engineering/Data, AI Architect, AI Engineer, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by mistral.ai via Google News.