Descubra o valor da estrutura de preços baseada no uso da Mistral AI em modelos poderosos e escaláveis.
Por que importa
Stork’s verdict on Mistral AI Pricing
Mistral AI Pricing reviewed by Stork AI · stork.ai/pt/mistral-ai-pricing
overview
A Mistral AI oferece um modelo de precificação estruturado, projetado para máxima flexibilidade. Se você está utilizando o Mistral Pequeno, Médio ou Grande, nossos custos por token garantem que você pague apenas pelo que usa.
features
Escolha o modelo que atende perfeitamente às suas necessidades. O Mistral Large 24.11 se destaca como a nossa opção mais econômica para tarefas complexas.
insights
Nossas atualizações de preços a partir de setembro de 2024 refletem um compromisso com a acessibilidade. Com reduções impressionantes em todos os modelos, você pode maximizar sua produtividade sem prejudicar seu orçamento.
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Outras ferramentas a considerar
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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