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ApX Machine Learning logo
ApX Machine Learning
✓ verifiedFreemium

Tools, model specs and courses for LLM engineers-VRAM calculator, benchmarks and model directory-with free and paid tiers.

355K visits/mo
Maxim AI logo
Maxim AI
✓ verifiedFreemium

End-to-end evaluation and observability platform for building, testing, and monitoring AI agents and LLM apps.

102K visits/mo
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
218K visits/mo
Kimi Chat logo
Kimi Chat
✓ verifiedFree

Kimi is Moonshot AI's conversational assistant known for long-context chat, coding help, and agentic tasks.

103K visits/mo
Pricing
Basic: $0/mo (free forever)
Pro: $19/mo
Pro+: $59/mo
Developer: $0 (3 seats, 10k logs/mo)
Professional: $29/seat/mo (100k logs/mo)
Business: $49/seat/mo (500k logs/mo)

Free trial available

No public pricing

No public pricing

No public pricing

Core features
  • VRAM/GPU-memory calculator for LLMs
  • LLM performance rankings and benchmarks
  • Model directory and comparison
  • AI/ML courses and learning roadmap
  • Calculator API and exportable cost reports
  • Engineering blog and guides
  • Prompt IDE, versioning, and deployment
  • Agent simulation and evaluation
  • Production tracing and observability
  • Pre-built and custom evaluators
  • Human-in-the-loop evaluation
  • Bifrost LLM gateway
  • 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
  • LLM API router
  • OpenAI API proxy
  • Model aggregation (OpenAI, Gemini, DeepSeek, Llama, Qwen, Claude, etc.)
  • Unified OpenAI API standard
  • Unlimited concurrency
  • Conversational AI assistant
  • Long-context document understanding
  • Coding assistance
  • Agent and plugin capabilities
  • Web and mobile app access
Use cases
  • Estimating GPU memory before training or inference
  • Comparing and selecting LLMs
  • Learning ML and LLM engineering
  • Modeling production deployment costs
  • Testing and comparing prompts and models
  • Evaluating and simulating AI agents
  • Monitoring agents in production
  • Running human evaluation pipelines
  • Powering robotics perception with multimodal AI
  • Running large-scale video search and analysis via API
  • Sourcing specialized training data for frontier AI models
  • 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
  • Answering questions and research
  • Summarizing long documents
  • Writing and editing help
  • Coding support
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