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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.

Glean logo
Glean
✓ verifiedPaid

Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.

3.2M visits/mo
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
WaveSpeedAI logo
WaveSpeedAI
✓ verifiedFree trial

Pay-per-use API hub aggregating 1000+ image, video, and audio generation models for developers building AI media pipelines.

2.2M visits/mo
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
Replicate AI logo
Replicate AI
✓ verifiedPaid

Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.

1.3M visits/mo17K saves
Pricing

No public pricing

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

Silver: $100 top-up (higher rate limits)
Gold: $1,000 top-up (higher rate limits)
Ultra: $10,000 top-up (highest rate limits)

Free trial available

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
CPU (Small): $0.000025/sec ($0.09/hr)
Nvidia A100 80GB: $0.0014/sec ($5.04/hr)
Nvidia H100: $0.001525/sec ($5.49/hr)

Free trial available

Core features
  • Enterprise search across company apps
  • Personal AI assistant grounded in work data
  • Agent builder, orchestration and governance
  • 250+ connectors and actions
  • Enterprise knowledge graph and hybrid search
  • Security controls for scaling AI
  • 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
  • Unified API access to 1000+ image/video/audio generation models
  • Pay-per-use pricing billed per image or per second of video
  • Includes chat/LLM model access (Claude, GPT, Gemini, etc.) priced per token
  • Account tiers unlock higher GPU limits and concurrency
  • CLI and desktop app for building workflows
  • Enterprise options with dedicated support and custom deployment
  • 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
  • One-line API calls to run community and proprietary AI models
  • Support for image, video, speech, and LLM generation models
  • Fine-tuning and custom model deployment via Cog
  • Per-second usage billing on shared or dedicated hardware
  • Automatic scaling for high-traffic private models
  • Thousands of community-published models with production APIs
Use cases
  • Search across all company knowledge
  • Answer employee questions with grounded AI
  • Build and deploy custom AI agents
  • Automate cross-system workflows
  • Protecting against identity theft
  • Monitoring family credit and finances
  • Keeping kids safe online
  • Removing personal data from broker sites
  • Integrating AI image/video generation into an app via API
  • Building automated content pipelines needing multiple AI models
  • Testing and comparing many generative models from one account
  • Scaling AI media production with volume-based account tiers
  • Accessing both media-generation and LLM APIs from one platform
  • Serving open models in production apps and agents
  • Fine-tuning models on private data
  • Powering code assistants, chatbots and RAG at scale
  • Developers embedding image/video/speech generation into an app via API
  • Teams deploying and scaling their own fine-tuned models
  • Builders comparing outputs from multiple AI models in one playground
  • Companies avoiding GPU infrastructure management for ML inference
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