Precios asequibles, escalables y transparentes para todas tus necesidades de IA.
Por qué importa
Stork’s verdict on Mistral AI Pricing
Mistral AI Pricing reviewed by Stork AI · stork.ai/es/mistral-ai-pricing
overview
Mistral AI ofrece una variedad de planes de precios adaptados a las diversas necesidades de los usuarios. Ya seas un desarrollador individual o parte de una gran empresa, nuestros precios están diseñados para brindar valor y escalabilidad.
features
Nuestra estructura de precios por tokens permite un ahorro significativo, especialmente para usuarios de alto volumen. Con costos transparentes por token, puedes gestionar tu presupuesto de manera efectiva mientras aprovechas las capacidades avanzadas de la IA.
use cases
La estructura de precios de Mistral AI apoya una amplia gama de aplicaciones, desde laboratorios de investigación hasta soluciones empresariales. Nuestros modelos capacitan tanto a equipos técnicos como no técnicos para innovar y desplegar de manera efectiva.
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OpenAI offers a broad spectrum of models, from highly capable flagship models to more cost-effective options, and is a market leader in generative AI with extensive developer tools.
OpenAI's pricing varies significantly by model; for instance, GPT-5.4 Nano is priced at $0.20 input / $1.25 output per million tokens, making it competitive with Mistral's cheaper models, while its flagship GPT-5.5 Pro is considerably more expensive at $30 input / $180 output per million tokens. OpenAI also provides discounts for cached input tokens.
Anthropic focuses on developing safe and helpful AI, with its Claude models known for their long context windows and strong performance in reasoning and agentic tasks.
Anthropic's Claude models offer competitive per-token pricing; for example, Claude Sonnet 5 has an introductory price of $2 input / $10 output per million tokens. While generally higher than Mistral's Large 3 ($0.50 input / $1.50 output per million tokens), Claude models provide strong agentic capabilities and large context windows.
Google Cloud AI provides access to Google's multimodal Gemini models, known for their large context windows and deep integration with Google Cloud services.
Gemini's pricing, such as Gemini 3.1 Pro at $2 input / $12 output per million tokens for contexts up to 200K tokens, is competitive with other frontier models and offers a significant 2M-token context window. Its Flash models, like Gemini 3.1 Flash-Lite at $0.25 input / $1.50 output per million tokens, are more cost-effective for high-volume, lower-latency tasks.
Cohere specializes in enterprise-grade LLMs with a strong focus on retrieval-augmented generation (RAG) and long-document processing.
Cohere's Command models are positioned competitively for enterprise RAG applications; Command R+ is priced at $2.50 input / $10.00 output per million tokens. Its Command R7B model is one of the cheapest production APIs available at $0.0375 input / $0.15 output per million tokens, making it highly cost-effective for certain use cases.
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