Mistral API Pricing Guide 2026: Magistral, Large & Codestral Compared
Complete pricing breakdown for all Mistral AI models — Magistral reasoning, Codestral for code, Mistral Large vs GPT-4o, and EU data residency options.
Mistral AI has established itself as a leading European AI provider with a compelling model lineup — from the reasoning-capable Magistral to the code-optimized Codestral. With strong performance benchmarks and competitive pricing, Mistral is increasingly popular for teams seeking an alternative to OpenAI and Anthropic.
This guide covers every Mistral API model, their pricing, and which workloads each one handles best.
Mistral Model Lineup & Pricing
Magistral: Mistral's Reasoning Model
Magistral is Mistral's answer to OpenAI o3 and DeepSeek R1 — a reasoning model that uses extended chain-of-thought to solve complex problems. It excels at math, science, and multi-step logic tasks.
Codestral: Built for Code Generation
Codestral is purpose-built for software development tasks — code completion, refactoring, debugging, and documentation. It supports 80+ programming languages and is trained on a large corpus of code. For teams building code assistants or developer tools, Codestral often outperforms general-purpose models at a lower price point.
Mistral Large vs GPT-4o: Cost Comparison
For general intelligence tasks, Mistral Large 3 is a direct competitor to GPT-4o. Here's how the costs compare at scale:
Which Mistral Model Should You Use?
EU Data Residency: Mistral's Key Advantage
For teams with GDPR requirements or EU data sovereignty needs, Mistral AI is headquartered in France and offers deployment options within the European Union. This is a significant advantage over US-based providers for regulated industries like healthcare, finance, and government.
For reference: Mistral Small 3.1 costs $0.1/1M input vs Claude Sonnet's $3/1M — making Mistral Small a compelling option for high-volume EU workloads.
Compare Mistral models directly: Full Mistral pricing → | Mistral Large vs GPT-4o →