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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

218K visits/mo
SiliconFlow logo
SiliconFlow
✓ verified

Developer platform serving 200+ optimized LLMs via APIs; high traffic.

434K visits/mo1.1K saves
Reka Core logo
Reka Core
✓ verifiedPaid

AI research lab building multimodal 'omni' foundation models and infrastructure aimed at robotics and physical-world applications.

252K visits/mo
Jan.ai logo
Jan.ai
✓ verifiedFree

Open-source desktop app for running AI chat models locally or via APIs, as a private ChatGPT alternative.

378K visits/mo609 saves
4.4M visits/mo
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • LLM API router
  • OpenAI API proxy
  • Model aggregation (OpenAI, Gemini, DeepSeek, Llama, Qwen, Claude, etc.)
  • Unified OpenAI API standard
  • Unlimited concurrency
  • Access over 200 optimized models, including LLMs, image, video, and audio processing.
  • Achieve low-latency, high-throughput inference with SiliconFlow's self-developed acceleration frameworks.
  • Deploy models via serverless inference, dedicated endpoints, or reserved GPUs to suit various workloads.
  • Customize models to your data with built-in monitoring and elastic compute resources.
  • Ensure data privacy and business security with dynamic scaling and fault tolerance mechanisms.
  • Omni multimodal model research and development
  • Real-time inference API (Infer) for enterprise use
  • Video tagging, search, and clipping infrastructure
  • Training data generation from egocentric and robotics footage
  • Run open-source LLMs locally
  • Connect to online models (OpenAI, Claude, Gemini)
  • Private, offline-capable AI chat
  • Open source and self-hostable
  • Model library via Hugging Face
  • Cross-platform desktop app
  • Dialogue with GLM large model
  • AI search
  • AI drawing
  • AI reading
  • AI-generated video (沉思清影-AI生视频)
  • AI-generated PPT
  • Data analysis tools
  • Code assistance (代码速写)
  • Intelligent agents
Use cases
  • Integrating multiple AI models into applications using a single API
  • Accessing the latest AI models through a unified interface
  • Managing and scaling AI model usage with unlimited concurrency
  • Quickly deploy various AI models via a simple API, supporting tasks like text, image, audio, and video processing.
  • Utilize serverless GPUs to automatically scale AI applications, ensuring flexibility and cost-efficiency.
  • Access high-performance GPUs for demanding workloads, such as large-scale inference and video generation.
  • Deploy custom models with guaranteed performance and scalability, tailored to specific business needs.
  • Powering robotics perception with multimodal AI
  • Running large-scale video search and analysis via API
  • Sourcing specialized training data for frontier AI models
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
  • Engaging in conversations with an AI model
  • Generating images and videos using AI
  • Creating presentations with AI assistance
  • Analyzing data with AI tools
  • Assisting with code development
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