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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.

95K visits/mo
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
DeepWiki logo
DeepWiki
✓ verifiedFree

Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.

1.2M visits/mo
Runware logo
Runware
✓ verifiedFreemium

Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.

249K visits/mo
Pricing
Test: $176
Business: $497
Platinum: $1,012
Enterprise: $2,027
GURU (6 mo.) Limited offer: $1,199
VIP (12 mo.) Limited offer: $2,999
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

vCPU compute: $0.016/hr
RTX PRO 6000: $1.99/hr (as low as $0.99)
H100: $2.76/hr
H200: $3.18/hr
B200: $4.99/hr

Free trial available

Core features
  • Arbitrage Scanner between CEX and DEX exchanges
  • Wallet analysis with AI-powered similar wallet search
  • Sentiment analysis via TG scanner and Reddit scanner
  • Personalized cloud-based bot
  • NFT Scanner
  • 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-generated documentation for GitHub repos
  • Conversational Q&A about a codebase
  • Browsable index of popular repositories
  • Deep code indexing via Devin
  • Single API for image, video, audio, 3D and LLM models
  • Standardized model addressing across hosted, partner and custom uploads
  • Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
  • WebSocket and REST access with async webhook delivery
  • Pay-per-request billing with no infrastructure to manage
  • Raw serverless GPU/CPU compute for custom workloads
Use cases
  • Identifying arbitrage opportunities between different exchanges and DEXs
  • Analyzing wallet activities to identify potential insider trading
  • Tracking market sentiment to make informed trading decisions
  • Monitoring news and social media for early insights
  • Identifying undervalued NFTs
  • 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
  • Understanding an unfamiliar codebase quickly
  • Onboarding to open-source projects
  • Answering questions about repo internals
  • Adding AI image or video generation to an app without managing infra
  • Batching multi-modal generation tasks in one API call
  • Running custom fine-tuned models via Model Upload
  • Cutting inference costs at high generation volume
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