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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 Multimodal Content Generation Apis Foundation Model Providers Llms Foundation Models Model Hosting Inference AI Agents Infrastructure

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

Evolink AI Model API

✓ verifiedPaid

One API to access leading LLM, image, video, and audio models with pay-as-you-go, usage-based pricing.

363K visits/mo1.5K saves

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

Jan.ai

✓ verifiedFree

Open-source desktop app for running AI chat models locally or via APIs, as a private ChatGPT alternative.

378K visits/mo609 saves

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

Pricing

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

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

Usage-based pay-as-you-go (e.g., Seedance 2.0 $0.198/s, GPT Image 2 from $0.015/image)

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

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

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

✦Single API for LLM, image, video, and audio models
✦Access to GPT, Claude, Gemini, Seedance, and more
✦Usage-based, pay-as-you-go pricing
✦Model comparison and documented capabilities
✦Smart Router for model selection
✦99.9% uptime, no credit card to start

✦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

✦Run open-source LLMs locally
✦Connect to online models (OpenAI, Claude, Gemini)
✦Private, offline-capable AI chat
✦Open source and self-hostable
✦Model library via Hugging Face
✦Cross-platform desktop app

✦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

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

→Add multiple AI models to a product via one API
→Switch between model providers without rewrites
→Generate video, images, and audio programmatically
→Build AI agents and workflows

→Serving open models in production apps and agents
→Fine-tuning models on private data
→Powering code assistants, chatbots and RAG at scale

→Private local AI chat
→Using multiple models in one app
→Avoiding cloud data sharing
→Experimenting with open models

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

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