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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.

HEROZ logo
HEROZ
✓ verifiedPaid

A Japanese AI firm that grew from shogi-AI research into industry ML solutions and a generative-AI platform, HEROZ ASK.

1.9M visits/mo
SiliconFlow logo
SiliconFlow
✓ verified

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

434K visits/mo1.1K saves
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
Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Deep-learning and machine-learning core technology
  • HEROZ ASK generative-AI platform
  • BtoB and BtoC AI solutions
  • BLOOMWORKS product
  • Industry AI deployment case studies
  • 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.
  • 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
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
Use cases
  • Deploying generative AI in enterprises
  • Applying ML to industry-specific problems
  • AI-driven business transformation (DX)
  • 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.
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
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