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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
Arize AI logo
Arize AI
✓ verifiedFreemium

AI observability and evaluation platform to trace, evaluate and improve LLM agents in production, with an open-source Phoenix core.

248K visits/mo
LangWatch logo
LangWatch
✓ verifiedFreemium

Platform to test, evaluate and observe LLM and voice AI agents, with prompt management and red-teaming for production.

23K visits/mo6.4K saves
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

AX Free: $0/mo (25k spans/mo)
AX Pro: $50/mo (50k spans/mo)
Developer: €0 (50k events/mo)
Growth: €29/core-seat/mo (+ €5 per 100k events)
Free: $0 forever (BYOK)
Pay-as-you-go: 5% fee on credit usage

Free trial available

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
  • Agent and LLM tracing
  • Large-scale evaluations
  • Open-source Phoenix observability
  • Alyx AI engineering agent
  • OpenTelemetry-based instrumentation
  • Experiments and prompt playgrounds
  • Scenario-based agent testing
  • LLM evaluation and quality scoring
  • Observability for cost and latency
  • Prompt management with GitHub sync
  • Voice AI simulation
  • LLM red-teaming and governance
  • 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
  • Deploying generative AI in enterprises
  • Applying ML to industry-specific problems
  • AI-driven business transformation (DX)
  • Debugging AI agents in production
  • Measuring LLM output quality
  • Catching regressions before deploy
  • Catch agent issues before production
  • Evaluate and monitor LLM quality
  • Test voice AI agents at scale
  • Route across many LLM providers from one API
  • Track and control AI spend
  • Avoid vendor lock-in with provider switching
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