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Cerebras logo
Cerebras
✓ verifiedFreemium

Wafer-scale AI hardware and inference cloud delivering record-fast, low-latency inference for open and frontier models.

817K visits/mo
PromptLayer logo
PromptLayer
✓ verifiedFree

Prompt engineering, management, and LLM observability platform.

212K visits/mo
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
AnythingLLM logo
AnythingLLM
✓ verifiedFree

Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.

682K visits/mo
Pricing
Free: $0 (all models, community support)
Developer: from $10 (higher rate limits)
Cerebras Code Pro: $50/mo (24M tokens/day)
Max: $200/mo (120M tokens/day)

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • Wafer-Scale Engine AI processor
  • High-speed inference API (OpenAI-compatible)
  • Cloud, on-prem and on-device deployment
  • Support for GLM, Qwen, Llama, GPT-OSS and more
  • Fine-tuning and training on one platform
  • Partner access via AWS, OpenRouter, HuggingFace, Vercel
  • Prompt management
  • Prompt evaluations
  • LLM observability
  • Team collaboration
  • Version control for prompts
  • A/B testing of prompts
  • Prompt Registry
  • Historical backtests
  • Regression tests
  • Usage monitoring
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
  • Chat with your documents (RAG)
  • Runs locally and offline for privacy
  • Supports any LLM (local or cloud)
  • Built-in AI agents
  • Handles PDFs, Word, CSV, codebases
  • No-code setup
  • Token-gated content access (NFTs, ERC20 tokens)
  • GPT4-powered writing assistance
  • Monetization options (collectible posts, memberships, fiat subscriptions)
  • Audience ownership (email/wallet subscriptions)
  • Cross-platform sharing
Use cases
  • Low-latency inference for agents and copilots
  • Real-time voice and reasoning apps
  • Fine-tuning and serving custom models
  • Scaling customer support automation with LLMs
  • Empowering non-technical teams with prompt engineering
  • Building personalized AI interactions
  • Debugging LLM agents
  • Improving content creation processes
  • Managing and monitoring prompts with a team
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
  • Privately querying your own documents
  • Running local AI without the cloud
  • Building AI agents over your data
  • Using multiple LLM providers in one app
  • Writers sharing their thoughts and insights on various topics.
  • Creators building communities around their content.
  • Authors monetizing their work through subscriptions and collectibles.
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