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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

Gpu Cloud Rental Inference Providers Hardware Infrastructure Coding Agents Foundation Model Providers Llms Foundation Models Model Hosting Inference AI Agents 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

Runpod

✓ verifiedPaid

Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.

2.3M visits/mo

Kiro AI

✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo

DeepSeek

✓ verifiedFreemium

Chinese AI lab DeepSeek offering free chat apps and low-cost API access to its frontier V-series and R-series reasoning models.

430M visits/mo

Pricing

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

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

Pods A40 48GB: $0.44/hr

Pods RTX 4090 24GB: $0.69/hr

Pods A100 SXM 80GB: $1.49/hr

Pods H100 SXM 80GB: $2.99/hr

Pods H200 141GB: $4.39/hr

Pods B300 288GB: $7.39/hr

Free: $0/mo (50 credits)

Pro: $20/user/mo (1,000 credits)

Pro+: $40/user/mo (2,000 credits)

Pro Max: $100/user/mo (5,000 credits)

Power: $200/user/mo (10,000 credits)

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

✦On-demand GPU pods across 30+ GPU types and 31 regions
✦Serverless GPU endpoints with sub-200ms cold starts
✦Zero idle cost billing for inference workloads
✦Multi-node clusters for distributed training
✦Persistent network storage for full pipelines
✦Real-time logs, monitoring and autoscaling from 0 to hundreds of workers

✦Spec-driven development (requirements, design, tasks)
✦Parallel agents, local or cloud
✦Property-based and correctness testing
✦Works in IDE, CLI, web and mobile
✦Multiple models (Claude, open-weight, Auto)
✦Headless CLI for CI/CD
✦Context from tools like Figma and Terraform

✦Free DeepSeek chat (web and app)
✦Open API platform
✦V-series and R-series reasoning models
✦DeepSeek-V4 with long context and stronger agent ability
✦OpenAI/Anthropic-compatible API
✦Extensive published model lineup

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

→Renting GPUs for model training and fine-tuning
→Deploying low-latency real-time inference APIs
→Running AI agents that need to scale instantly
→Processing compute-heavy batch or distributed workloads

→Turning prompts into maintainable, spec-matched code
→Catching bugs unit tests miss
→Reviewing PRs and fixing bugs in CI/CD

→Free AI chat and assistance
→Building apps via API
→Reasoning and coding tasks
→Low-cost LLM inference

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