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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.

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
4.4M visits/mo
MiniMax logo
MiniMax
✓ verifiedFreemium

Chinese AGI company building multimodal LLMs, Hailuo video, speech and music models, plus AI apps and open APIs.

4.6M visits/mo
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
Fiddler AI logo
Fiddler AI
✓ verifiedFreemium

Enterprise AI observability and security platform to monitor, evaluate, and govern agentic and ML systems with guardrails.

51K visits/mo
Pricing

No public pricing

No public pricing

Max Token Plan: 119 CNY/mo (frontier models, up to ~7.1B tokens/mo)

No public pricing

Free: $0 (real-time guardrails)
Developer: $0.002 per trace
Core features
  • 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
  • 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
  • MiniMax M-series LLMs (M3, 1M context, MSA)
  • Hailuo AI video generation
  • Speech and music generation models
  • MiniMax Code agentic coding tool
  • Consumer apps (Hailuo, Xingye)
  • Open API and Token Plan for developers
  • 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
  • End-to-end agentic and ML observability
  • Real-time guardrails (hallucination, PII, jailbreak)
  • Continuous evaluations and custom judges
  • Root-cause analysis and decision lineage
  • AI governance, risk, and compliance controls
  • Flexible SaaS, VPC, or on-prem deployment
Use cases
  • Automate end-to-end digital tasks
  • Produce websites and presentations
  • Conduct broad research
  • Hand off browser tasks to an agent
  • 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
  • Coding and agentic tasks
  • AI video generation
  • Text-to-speech and music creation
  • Building on MiniMax model APIs
  • 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
  • Monitoring production AI agents
  • Enforcing safety guardrails on LLM apps
  • Evaluating and debugging model behavior
  • Governance and compliance for enterprise AI
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