MiTa AI Search
Website:
Introduction: A no-registration-required AI search engine from Shanghai MiTa Network, integrated with DeepSeek-R1-671B full version.
Features:
– Real-time web search + academic database access
– Structured results display (mind maps, timelines)
– Free daily usage (100+ queries) without account creation
Pros:
✅ Fully free with stable service [3](@ref)[8](@ref)
✅ Supports multi-modal interactions (text/image/voice) [1](@ref)
✅ Academic research mode with verified sources [1](@ref)
Cons:
❌ Limited advanced features compared to paid platforms
❌ No API access for developers
SiliconFlow
Website:
Introduction: A GenAI infrastructure platform offering optimized DeepSeek-R1 deployment via Huawei Cloud.
Features:
– 9B models permanently free via API
– High-speed inference (152ms latency)
– Multi-model support (text/image/video)
Pros:
✅ Low-cost API (¥4.13/million tokens) [1](@ref)[5](@ref)
✅ Enterprise-grade security with Huawei partnership [6](@ref)
Cons:
❌ Requires invitation code for registration
❌ Peak-time delays (60s+ response)
AskManyAI
Website:
Introduction: An AI model aggregator supporting GPT/Claude/Gemini/DeepSeek.
Features:
– Multi-model simultaneous responses
– Free web version with internet search
– Image generation & document analysis
Pros:
✅ Cost-effective model combinations
✅ OpenAI-compatible API
Cons:
❌ Limited customization options
❌ Basic UI for complex queries
Volcano Engine
Website:
Introduction: ByteDance’s cloud platform offering DeepSeek-R1 deployment.
Features:
– 500k free tokens for individuals
– Enterprise-grade ML infrastructure
– Performance-optimized models
Pros:
✅ Generous free tier
✅ Seamless integration with ByteDance ecosystem
Cons:
❌ No internet access for models
❌ Complex setup for non-technical users
Nano Search
Introduction: 360’s multi-modal search engine with DeepSeek integration.
Features:
– 20 free daily R1 queries
– Content creation tools (videos/scripts)
– Multi-model collaboration
Pros:
✅ Student-friendly problem-solving
✅ Zero queuing during peak hours
Cons:
❌ Basic interface
❌ Limited document processing
Azure AI
Website:
https://azure.microsoft.com/en-us/solutions/ai
Introduction: Microsoft’s cloud platform for enterprise-grade DeepSeek deployment.
Features:
– Free trial credits
– Enterprise security compliance
– Global data center network
Pros:
✅ High reliability (99.9% SLA)
✅ Advanced threat detection
Cons:
❌ Credit card verification required
❌ Complex billing structure
Wen Xiaobai
Website:
Introduction: Yuanstone Tech’s assistant using DeepSeek-R1 via a dedicated network.
Features:
– 2.3s first-word latency
– Personalized recommendations
– Voice input & file uploads
Pros:
✅ Natural conversation flow [1](@ref)
✅ Cross-device compatibility
Cons:
❌ Chinese-language focused
❌ No international payment options
AWS Bedrock
Website:
https://aws.amazon.com/bedrock
Introduction: Amazon’s managed service for DeepSeek-R1 deployment.
Features:
– ApplyGuardrail API for content safety
– Auto-scaling infrastructure
– 245-country coverage
Pros:
✅ Enterprise-grade security
✅ Flexible resource scaling
Cons:
❌ High operational costs
❌ Steep learning curve
Ollama (Local Deployment)
Website:
Introduction: Open-source tool for local DeepSeek model deployment.
Features:
– 7B/14B/32B model options
– Terminal-based interaction
– Full data privacy
Pros:
✅ Complete offline usage [7](@ref)[10](@ref)
✅ No usage limits
Cons:
❌ Requires high-end GPUs (16GB+ VRAM)
❌ Limited to smaller models
Tencent Yuanbao
Website:
Introduction: Tencent’s AI assistant using DeepSeek-R1 with WeChat ecosystem integration.
Features:
– Verified content from WeChat articles
– Enterprise data fusion
– Chinese market specialization
Pros:
✅ Superior Chinese context handling [8](@ref)
✅ Free API trial (500k tokens)
Cons:
❌ Georestricted functionality
❌ Limited multilingual support