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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.

⇄ Comparison dimension — pick the market you're actually shopping in

Developer API Platforms Inference Providers Hardware Infrastructure Open Source Models Foundation Model Providers Llms Foundation Models Model Hosting Inference AI Agents Infrastructure

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

AiHubMix

218K visits/mo

BoltAI

✓ verifiedPaid

Native macOS app that unifies 300+ AI models in one private workspace with agents, MCP tools, and one-time licensing.

81K visits/mo33K saves

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

Claude

✓ verifiedFreemium

Anthropic's AI assistant for writing, coding, and analysis across web, mobile, and desktop, plus a developer API.

22M visits/mo231K saves

Pricing

No public pricing

Essential: $79 (1 seat, one-time)

Pro: $99 (2 seats + 1 mobile, one-time)

Team Perpetual: $99/seat/year

Free trial available

GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)

GPT-OSS 120B: $0.15 per 1M input tokens

Free: $0

Pro: $17/month billed annually ($200 up front), or $20/month

Max: From $100/month

Team: $20/seat/month billed annually ($25 monthly); premium seats $100/seat/month annually ($125 monthly)

Enterprise: Contact sales

Core features

✦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

✦LLM API router
✦OpenAI API proxy
✦Model aggregation (OpenAI, Gemini, DeepSeek, Llama, Qwen, Claude, etc.)
✦Unified OpenAI API standard
✦Unlimited concurrency

✦Switch across 300+ hosted and local AI models
✦Native macOS app with global shortcut and screenshot-to-answer
✦Reusable agents, projects, and forked chats
✦Multimodal analysis of PDFs, images, and code
✦MCP tools and code execution
✦Local chat storage with encryptable API keys

✦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

✦Conversational writing and editing
✦Code generation and debugging (Claude Code)
✦Data analysis and visualization
✦Web search plus memory across chats
✦Connectors and remote MCP integrations
✦Extended thinking for complex tasks

Use cases

→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

→Integrating multiple AI models into applications using a single API
→Accessing the latest AI models through a unified interface
→Managing and scaling AI model usage with unlimited concurrency

→Using multiple AI providers in one place
→Explaining or fixing on-screen content instantly
→Building reusable task-specific agents
→Analyzing documents and screenshots privately

→Running LLM inference at high speed
→Cutting inference costs at scale
→Powering low-latency AI chat apps
→Serving models via a hosted API

→Drafting and refining written content
→Building and debugging software
→Analyzing datasets for insights
→Research and learning support
→Team and enterprise automation

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