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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.

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

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

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

Pricing

No public 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

Core features

✦Deep-learning and machine-learning core technology
✦HEROZ ASK generative-AI platform
✦BtoB and BtoC AI solutions
✦BLOOMWORKS product
✦Industry AI deployment case studies

✦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

Use cases

→Deploying generative AI in enterprises
→Applying ML to industry-specific problems
→AI-driven business transformation (DX)

→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

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