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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.

Groq logo
Groq
✓ verifiedFreemium

Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.

3.6M visits/mo
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
Design Arena logo
Design Arena
✓ verifiedFree

Free crowdsourced benchmark that pits top AI models head-to-head on design tasks and ranks them by public votes.

1.5M visits/mo
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
Unsloth AI logo
Unsloth AI
✓ verifiedFreemium

Open-source library and desktop app for fast, memory-efficient local fine-tuning and inference of open LLMs.

1.1M visits/mo29K saves
Pricing
GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens

No public pricing

No public pricing

Free: $0 forever (BYOK)
Pay-as-you-go: 5% fee on credit usage

Free trial available

No public pricing

Core features
  • LPU custom inference hardware
  • GroqCloud tokens-as-a-service API
  • High-speed, low-latency inference
  • Pay-as-you-go token pricing
  • Free API key to start
  • Broad open-model support
  • Deep-learning and machine-learning core technology
  • HEROZ ASK generative-AI platform
  • BtoB and BtoC AI solutions
  • BLOOMWORKS product
  • Industry AI deployment case studies
  • Side-by-side model output comparison
  • Public voting on results
  • Leaderboards ranking AI models by 'taste'
  • Coverage of websites, games, 3D, UI, images, logos, SVG, video and slides
  • 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
  • Optimized LoRA/FFT/PT training kernels for 500+ models
  • Local offline model runner for Mac and Windows
  • No-code dataset creation from PDFs, CSVs, and JSON
  • Unlimited tool-calling and web search inside model runs
  • Data Recipes workflow to turn documents into training datasets
  • Export to safetensors or GGUF for llama.cpp, vLLM, Ollama
  • Multi-GPU support on paid tiers
Use cases
  • Running LLM inference at high speed
  • Cutting inference costs at scale
  • Powering low-latency AI chat apps
  • Serving models via a hosted API
  • Deploying generative AI in enterprises
  • Applying ML to industry-specific problems
  • AI-driven business transformation (DX)
  • Compare which AI model produces the best design output
  • Track AI design model rankings
  • Discover models for a specific creative task
  • Route across many LLM providers from one API
  • Track and control AI spend
  • Avoid vendor lock-in with provider switching
  • ML engineers fine-tuning open models on a single GPU for free
  • Teams building custom datasets from unstructured documents
  • Developers wanting to run and compare LLMs fully offline
  • Enterprises needing faster, more accurate multi-node training
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