Compare tools

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

Multi Agent Orchestration Gpu Cloud Rental Inference Providers Hardware Infrastructure Coding Agents Model Hosting Inference AI Agents AI Agents Infrastructure

Nebius

✓ verifiedPaid

AI-focused cloud offering NVIDIA GPU compute, storage and MLOps tooling for training and inference at scale, with usage-based pricing.

678K visits/mo133K 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

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

Google Antigravity

✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves

Qoder

✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

2.7M visits/mo32K saves

Pricing

NVIDIA H100: $3.85/GPU-hour on-demand ($2.15 preemptible)

NVIDIA H200: $4.50/GPU-hour on-demand

NVIDIA B200: $7.15/GPU-hour on-demand

Shared filesystem storage: $0.08/GiB per month

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

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

Free trial available

Core features

✦NVIDIA GPU instances (H100, H200, B200, GB200)
✦On-demand and preemptible GPU pricing
✦High-performance and object storage
✦Managed Kubernetes and Slurm (Soperator)
✦Serverless and managed inference (Token Factory)
✦MLOps tooling and 24/7 expert support
✦Commitment discounts up to 35%

✦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

✦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

✦Agent-first IDE experience
✦Autonomous planning and code execution
✦Integrated editor, terminal and browser control
✦Powered by Google's Gemini models
✦High-level developer supervision

✦Multi-agent collaboration for end-to-end tasks
✦Persistent memory and custom rules
✦Extensible skills and plugins
✦Rich context across code, images, and directories
✦Automatic codebase documentation generation
✦Terminal-native CLI and JetBrains IDE plugin
✦Cloud-hosted agents for enterprise use

Use cases

→Train large AI/ML models on GPU clusters
→Run scalable inference workloads
→Store and manage large training datasets
→Run Slurm/Kubernetes AI pipelines

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

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

→Building apps with AI agents
→Automating multi-step coding tasks
→Prototyping and iterating on software
→Assisting developers on complex work

→Autonomous feature development in large codebases
→Terminal-based AI pair programming
→Cross-department task automation for legal, finance, HR
→Onboarding developers to unfamiliar codebases

Visit

Visit nebius.com →

Visit fireworks.ai →

Visit groq.com →

Visit antigravity.google →

Visit qoder.com →