DeepSeek公式
3.7億/月
DeepSeek-V4 と R1 を中核とし、極めて低いトークンコストで提供される高効率なオープンウェイト／ホスト型推論 AI。
Large Language Models (LLMs)編集部スコア：4.8フリーミアム+4.3%
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掲載製品 20,346 件·アクセス動向とツール探索
迷わず選べる。 次のプロジェクトに合う AI ツールを見つける。
459 種類のワークフローで、アクセス推計・機能・代替製品を比較できます。
459 種類のワークフローで、アクセス推計・機能・代替製品を比較できます。
“Function calling”·380 件
最初からDeepSeek-V4 と R1 を中核とし、極めて低いトークンコストで提供される高効率なオープンウェイト／ホスト型推論 AI。
Vivgrid is a managed platform for building and operating AI agents in production. Its core idea is Managed Skills: serverless LLM function calling that runs your agent tools in the cloud, decoupled from the client so prompts, models, and tools can be updated server-side without shipping a new app release. Around that, Vivgrid bundles observability, debugging, evaluation, safety guardrails, orchestration, and globally distributed inference.
Vivgrid is a managed platform for building and operating AI agents in production. Its core idea is Managed Skills: serverless LLM function calling that runs your agent tools in the cloud, decoupled from the client so prompts, models, and tools can be updated server-side without shipping a new app release. Around that, Vivgrid bundles observability, debugging, evaluation, safety guardrails, orchestration, and globally distributed inference.
AIエージェントのためのスプレッドシートエンジン
AIエージェントのためのスプレッドシートエンジン
Use AI is a single workspace that gives you frontier models from Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, GLM and others side by side. Chat, generate images, run deep research, and create documents and slides without opening a dozen different apps.
Use AI is a single workspace that gives you frontier models from Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, GLM and others side by side. Chat, generate images, run deep research, and create documents and slides without opening a dozen different apps.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
チャットでアプリを説明し、そのまま公開
WhatsApp、メール、音声など、あらゆる顧客チャネルで動く自律型AIエージェントを構築。
ブラウザでAIと会話してWebサイトとアプリを構築
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Lamini is an enterprise LLM platform for building, fine-tuning, controlling and deploying custom large language models. It targets teams that need their own accurate, private models rather than a generic API: you bring your data, fine-tune open models on the platform, and serve them with tuned runtimes designed to reduce hallucinations. It covers use cases like text-to-SQL, classification, RAG and function calling, and is known for running workloads on AMD GPUs.
Lamini is an enterprise LLM platform for building, fine-tuning, controlling and deploying custom large language models. It targets teams that need their own accurate, private models rather than a generic API: you bring your data, fine-tune open models on the platform, and serve them with tuned runtimes designed to reduce hallucinations. It covers use cases like text-to-SQL, classification, RAG and function calling, and is known for running workloads on AMD GPUs.
すべてのビジネス会話を最適化する音声解析AI
