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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.

OpenRouter logo
OpenRouter
✓ verifiedFreemium

Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.

17M visits/mo
Qoder logo
Qoder
✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

2.7M visits/mo32K saves
Manus logo
Manus
✓ verifiedFreemium

General AI agent that executes multi-step tasks end to end — research, slides, design, browsing — instead of only answering questions.

28M visits/mo89K saves
Latitude logo
Latitude
✓ verifiedFreemium

Open-source AI-agent observability platform for tracing sessions, clustering failures and running evals on live traffic.

57K visits/mo
Pricing
Free: $0
Pay-as-you-go: Per-token, no subscription
Enterprise: Talk to sales

No public pricing

Free trial available

No public pricing

No public pricing

Core features
  • One unified, OpenAI-compatible API for 400+ models
  • Automatic provider failover for higher uptime
  • Edge routing for low latency
  • Custom data and provider policies
  • Pay-as-you-go credits usable across any model
  • Multi-agent collaboration for end-to-end tasks
  • Persistent memory and custom rules
  • Extensible skills and plugins
  • Rich context across code, images, and directories
  • Automatic codebase documentation generation
  • Terminal-native CLI and JetBrains IDE plugin
  • Cloud-hosted agents for enterprise use
  • Autonomous multi-step task execution
  • Website and app building
  • AI slides, design and image generation
  • Manus browser operator
  • Wide Research mode
  • Cross-platform web, desktop and mobile apps
  • Agent trace capture and conversation intelligence
  • Semantic and exact-text search across all traces
  • Automatic issue discovery with Slack/email/webhook alerts
  • OpenTelemetry-compatible SDK with no lock-in
  • Automated evals and golden dataset generation
  • Failure-mode clustering and MCP server integration
Use cases
  • Accessing many LLMs through one integration
  • Adding provider redundancy to AI apps
  • Comparing model price and performance
  • Powering agents and AI-native products
  • Autonomous feature development in large codebases
  • Terminal-based AI pair programming
  • Cross-department task automation for legal, finance, HR
  • Onboarding developers to unfamiliar codebases
  • Automate end-to-end digital tasks
  • Produce websites and presentations
  • Conduct broad research
  • Hand off browser tasks to an agent
  • Monitoring AI agents in production
  • Debugging and triaging agent failures
  • Building regression evals from real traffic
  • Getting alerted on new or escalating issues
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