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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.

Fireworks AI logo
Fireworks AI
✓ verifiedPaid

Developer platform for fast serverless inference and training of open generative models, billed per token or GPU-second.

611K visits/mo1.3K saves
Aura logo
Aura
✓ verifiedPaid

All-in-one digital-safety subscription protecting families from identity theft, fraud and online threats, with parental controls.

2.5M visits/mo762 saves
Agenta logo
Agenta
✓ verifiedFreemium

Open-source LLMOps platform uniting prompt management, evaluation and observability for teams shipping reliable LLM apps.

34K 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
Pricing
On-Demand H100/H200: $7/GPU-hour
On-Demand B200: $10/GPU-hour
On-Demand B300: $12/GPU-hour
Fine-tuning (LoRA SFT, models up to 16B): from $0.50 per 1M training tokens
Kids: $10/mo billed annually
Individual: $12/mo billed annually (1 adult)
Couple: $22/mo billed annually (2 adults)
Family: $32/mo billed annually (5 adults)

Free trial available

No public pricing

Developer: €0 (50k events/mo)
Growth: €29/core-seat/mo (+ €5 per 100k events)
Core features
  • Serverless per-token inference with OpenAI/Anthropic-compatible APIs
  • On-demand dedicated and reserved GPU deployments
  • Fine-tuning and reinforcement-learning training pipelines
  • Large library of open LLM, vision, image and audio models
  • Optimized inference engine for throughput and latency
  • Identity theft protection with insurance
  • 3-bureau credit monitoring and lock
  • Antivirus, VPN and password manager
  • Online data removal from brokers
  • Parental controls and safe-gaming alerts
  • Dark-web and financial-fraud alerts
  • Prompt management as a single source of truth
  • Playground for prompt experimentation
  • Evaluation to measure changes before production
  • Observability and tracing for debugging
  • Collaboration across technical and non-technical roles
  • Open-source and self-hostable
  • 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
Use cases
  • Serving open models in production apps and agents
  • Fine-tuning models on private data
  • Powering code assistants, chatbots and RAG at scale
  • Protecting against identity theft
  • Monitoring family credit and finances
  • Keeping kids safe online
  • Removing personal data from broker sites
  • Version and manage prompts centrally
  • Benchmark and evaluate LLM outputs
  • Debug and trace production LLM issues
  • Collaborate across a team on LLM apps
  • Catch agent issues before production
  • Evaluate and monitor LLM quality
  • Test voice AI agents at scale
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