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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.

Weights & Biases logo
Weights & Biases
✓ verifiedFreemium

Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.

2.5M visits/mo
27K visits/mo
Glean logo
Glean
✓ verifiedPaid

Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.

3.2M visits/mo
LLM Gateway logo
LLM Gateway
✓ verifiedFreemium

Unified API and gateway routing requests across 200+ models from 40+ providers, with cost tracking and a free BYOK tier.

76K visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free: $0 forever (BYOK)
Pay-as-you-go: 5% fee on credit usage

Free trial available

Core features
  • Experiment tracking and visualization for ML training runs
  • Model and artifact versioning and management
  • Hyperparameter optimization tooling
  • Collaborative dashboards and reports for ML teams
  • LLM application tracing and evaluation tooling
  • Open-Source AI Gateway
  • Multi-LLM Management & Cost Optimization
  • Efficient and Secure LLMs Invocation
  • Unified API Signature for LLMs
  • Load Balancer for seamless switching between LLMs
  • Fine-Grained Traffic Control for LLMs
  • LLM Quota Management
  • Real-time LLM Traffic Monitoring
  • Caching Strategies for AI in Production
  • Flexible Prompt Management
  • Enterprise search across company apps
  • Personal AI assistant grounded in work data
  • Agent builder, orchestration and governance
  • 250+ connectors and actions
  • Enterprise knowledge graph and hybrid search
  • Security controls for scaling AI
  • One API for 200+ models across 40+ providers
  • Provider switching without code changes
  • Real-time cost tracking
  • Bring-your-own-keys, free forever
  • Observability and guardrails
  • SOC 2 Type II certified
Use cases
  • ML engineers tracking and comparing training experiments
  • Research teams versioning datasets and model checkpoints
  • Teams building and evaluating LLM-powered applications
  • Organizations collaborating on machine learning projects
  • Building API portals for secure sharing of internal APIs with partners.
  • Tracking API usage and driving API monetization.
  • Managing and securing API access in compliance with enterprise policies.
  • Connecting to multiple AI large models simultaneously.
  • Optimizing LLM costs and improving efficiency.
  • Protecting against LLM attacks and data leaks.
  • Search across all company knowledge
  • Answer employee questions with grounded AI
  • Build and deploy custom AI agents
  • Automate cross-system workflows
  • Route across many LLM providers from one API
  • Track and control AI spend
  • Avoid vendor lock-in with provider switching
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