overview
包括的な価格体系
Mistral AIは、ビジネスや開発者向けに設計された明確な使用ベースの価格戦略を提供しています。予算やニーズに応じた選択肢が揃い、使用した各トークンに対して正確に支払う金額を理解できます。
- 初期探索のための無料プランが利用可能です。
- さまざまな価格帯の実績のあるモデル。
- 隠れた手数料はなく、明確な請求。
AIニーズに応える透明でスケーラブルな料金体系
注目ポイント
Stork’s verdict on Mistral AI Pricing
Mistral AI Pricing reviewed by Stork AI · stork.ai/ja/mistral-ai-pricing
overview
Mistral AIは、ビジネスや開発者向けに設計された明確な使用ベースの価格戦略を提供しています。予算やニーズに応じた選択肢が揃い、使用した各トークンに対して正確に支払う金額を理解できます。
features
ミストラルのスモール、ミディアム、ラージモデルの違いを探ってみましょう。それぞれ特定の利用目的に合わせて設計されています。効率的なパフォーマンスが必要な方も、先進的な機能を求める方も、自分にぴったりのミストラルモデルが見つかります。
insights
Mistral AIは、従来のプラットフォームに対する主要なオープン代替手段として際立っており、カスタマイズとコンプライアンスを優先しています。当社の競争力のある価格戦略により、ニーズの変化に応じたビジネスの成長を支援します。
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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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