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Kimi AI

تطبيقات الدردشة والمساعدين
★★★★4.4/ 5 · تقييمنا التحريريفريميوم
إعلان · 728×90

🗒️ ما هو Kimi AI؟

المساعد الرئيسي لشركة Moonshot AI، مدعوم بنموذج K2.5 بتريليون معامل — برمجة وكيلة وبحث معمّق ومحادثة يومية بتكلفة API أقل بكثير من GPT وClaude.

Kimi AI is built by Moonshot AI, a Beijing-based lab valued at roughly $18 billion, and has grown from a niche Chinese chatbot into a globally used assistant in under two years. Its K2.5 model uses a Mixture-of-Experts architecture with 1 trillion total parameters but activates only 32 billion per request, ranking competitively with GPT-5.4 and Claude Sonnet 4.6 on benchmarks while costing 4-17x less to run via the API. Kimi also offers a 300-subagent Agent Swarm mode and a desktop app that can execute tasks directly on your machine.

يتميز Kimi AI بشكل خاص بـfree tier includes unlimited basic chat, file uploads, and web search وk2.5 costs 4-17x less than GPT-5.4 and 5-6x less than Claude Sonnet 4.6 via the API for comparable benchmark performance و300-subagent Agent Swarm mode for large parallel agentic tasks، ما يجعله خياراً شائعاً لـcost-sensitive teams running high-volume API workloads وagentic coding tasks via Kimi Code. شي يستاهل الانتباه: built by a Chinese company, which may raise data-residency or compliance concerns for some organizations.

👍 ما هي مميزات وعيوب Kimi AI؟

المميزات

  • Free tier includes unlimited basic chat, file uploads, and web search
  • K2.5 costs 4-17x less than GPT-5.4 and 5-6x less than Claude Sonnet 4.6 via the API for comparable benchmark performance
  • 300-subagent Agent Swarm mode for large parallel agentic tasks
  • Desktop app can execute tasks directly on your machine

العيوب

  • Built by a Chinese company, which may raise data-residency or compliance concerns for some organizations
  • Advanced agent features (Agent Swarm, Kimi Code, Kimi Claw) are locked behind paid tiers
  • Smaller ecosystem and track record than ChatGPT or Claude

🎯 فيما يمكن استخدام Kimi AI؟

Cost-sensitive teams running high-volume API workloads
Agentic coding tasks via Kimi Code
Parallel research or automation tasks using Agent Swarm
General-purpose chat, file analysis, and web search

💰 كم تكلفة Kimi AI؟

Kimi's chat app is free to use with unlimited basic chat, file uploads, and web search on its $0 Adagio plan; paid memberships range from $19 to $199 per month for heavier agentic and coding use. Via the API, Kimi K2.5 costs about $0.60 per 1M input tokens and $2.50-$3.00 per 1M output tokens -- 4 to 17x cheaper than GPT-5.4 and 5-6x cheaper than Claude Sonnet 4.6 for comparable benchmark performance.

Adagio (Free)

$0/شهر
  • Unlimited basic chat, file uploads & web search
  • ~6 agent credits, 1 concurrent task
  • No Agent Swarm, Kimi Code, or Kimi Claw
الأكثر شعبية

Allegretto

$39/شهر
  • 150 agent credits, 4 concurrent tasks
  • 50 Agent Swarm runs, Kimi Code at 5x speed
  • Kimi Claw browser control included

Vivace

$199/شهر
  • 720 agent credits, 8 concurrent subtasks
  • 240 Agent Swarm runs
  • Kimi Code at 30x speed
إعلان · In-Content

الأسئلة الشائعة

هل Kimi AI مجاني؟

Kimi's chat app is free to use with unlimited basic chat, file uploads, and web search on its $0 Adagio plan; paid memberships range from $19 to $199 per month for heavier agentic and coding use. Via the API, Kimi K2.5 costs about $0.60 per 1M input tokens and $2.50-$3.00 per 1M output tokens -- 4 to 17x cheaper than GPT-5.4 and 5-6x cheaper than Claude Sonnet 4.6 for comparable benchmark performance.

فيما تُستخدم Kimi AI؟

تُستخدم Kimi AI عادة لـ Cost-sensitive teams running high-volume API workloads وAgentic coding tasks via Kimi Code وParallel research or automation tasks using Agent Swarm.

هل تستاهل Kimi AI بـ2026؟

بتقييمنا، حصلت Kimi AI على 4.4/5. أبرز نقاط قوتها: Free tier includes unlimited basic chat, file uploads, and web search وK2.5 costs 4-17x less than GPT-5.4 and 5-6x less than Claude Sonnet 4.6 via the API for comparable benchmark performance. وبالمقابل: Built by a Chinese company, which may raise data-residency or compliance concerns for some organizations.

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