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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
MiniMax M2.7 logo
MiniMax M2.7
✓ verifiedFreemium

MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.

1.1M visits/mo
MindStudio logo
MindStudio
✓ verifiedFreemium

No-code visual builder to create, deploy and orchestrate AI agents across 200+ models, for individuals to enterprise.

1.8M visits/mo
Kiro AI logo
Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo
Pricing

No public pricing

No public pricing

Free: $0 + usage (1 agent, 1,000 runs/mo)
Individual: $20/mo + usage (unlimited agents and runs)
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)
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
  • Autonomous multi-step task execution
  • Natural-language task delegation
  • Powered by MiniMax frontier models
  • Handles research, building and content tasks
  • No-code visual agent builder
  • 200+ AI models via service router
  • 100+ prebuilt templates
  • Agent skills, plugins and workflows
  • AI Media Workbench for video/image
  • Enterprise controls (SSO, permissions, self-host)
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
Use cases
  • Deploying generative AI in enterprises
  • Applying ML to industry-specific problems
  • AI-driven business transformation (DX)
  • Delegating complex tasks to an AI agent
  • Automating research and analysis
  • Producing reports and deliverables
  • Automating business workflows
  • Building custom AI agents without code
  • Content and media generation
  • Deploying agents across a team or org
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
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