Cloud AI Directory: Rent GPUs, Free APIs & Hosted Models

作者: Jakub Rusinowski · 最后更新: 2026年6月15日

Free LLM API tiers for prototyping, rented GPUs for fine-tuning and try-before-you-buy, hosted open models when you want Llama-class output without owning a card — the honest map of cloud AI options, from the site that usually tells you to run it locally.

All links are plain links — no referral codes. Entries verified 2026-07-08; tiers change often, confirm on the provider's page.

Free LLM API Tiers

Genuinely free API access — rate-limited, but real. Enough for prototyping, learning, and low-volume tools before you spend a cent on hardware or tokens.

ProviderPricing / free tierBest for
NVIDIA NIM (build.nvidia.com)Free: Free hosted endpoints for Llama, Nemotron, Mistral & more with generous dev credits — sign-up only, no card
Free API credits for development; self-host NIM containers with NVIDIA AI Enterprise in production
Trying big open models (Llama 3.3 70B, Nemotron) over an OpenAI-compatible API before buying hardware
Google AI StudioFree: Gemini Flash free tier — the most generous standing free allowance of the big three
Free-of-charge tier with per-minute/per-day rate limits; paid tier unlocks higher limits
Prototyping against a frontier-family model at zero cost
GroqFree: Free developer tier with daily rate limits on open models (Llama, Qwen, Gemma)
Pay-per-token on LPU hardware; famous for extreme tokens/sec
Latency-critical demos — hundreds of tokens/sec on 70B-class open models
OpenRouterFree: Rotating set of :free model variants with daily request caps
One API key, 300+ models, pass-through pricing per model
Comparing many models through one OpenAI-compatible endpoint before committing
Mistral La PlateformeFree: Free experiment tier with rate limits
Per-token pricing on Mistral models; EU-hosted
EU-hosted API access with a free on-ramp — relevant for GDPR-sensitive prototyping
Cerebras InferenceFree: Free developer tier with daily token caps
Per-token pricing on wafer-scale hardware; very high tokens/sec
Fastest hosted open-model inference alongside Groq — good for agent loops
GitHub ModelsFree: Free playground + API rate limits for GPT-4o, Llama, Phi, Mistral with any GitHub account
Included with a GitHub account; production use routes to Azure AI
Zero-signup-friction experimentation if you already live on GitHub
Cloudflare Workers AIFree: Daily free allocation of neurons on every Cloudflare account
Per-neuron (unit) pricing beyond the free allocation; runs on Cloudflare edge GPUs
Sprinkling small-model inference (Llama 8B class) into edge apps without managing servers
Hugging Face Inference ProvidersFree: Small monthly free credit allowance on every HF account
Routes to partner providers at pass-through prices; monthly included credits on free & PRO plans
Calling almost any open-weight model on the Hub without picking a vendor first

Cloud GPU Rental

Rent a GPU by the hour instead of buying one. The right answer for fine-tuning runs, batch jobs, and "try a 70B before committing to a $2,000 build".

ProviderPricing / free tierBest for
RunPodRTX 4090 ≈ $0.3–0.7/hr, A100/H100 by the hour; serverless per-second billing availableRenting a 24–80 GB GPU for hours-long jobs: fine-tuning, batch inference, trying 70B before buying
Vast.aiMarketplace of hosted GPUs — often the cheapest per hour (interruptible options)Cheapest possible GPU-hours when you can tolerate marketplace variability
LambdaOn-demand A100/H100/B200 instances and clusters, per-hour billingSerious training/fine-tuning runs on datacenter GPUs with clean images
Paperspace (DigitalOcean)Free: Free-tier Gradient notebooks with entry GPUs, subject to availability
Per-hour GPU machines + Gradient notebooks; some free-GPU notebook availability
Notebook-first experimentation with an easy upgrade path
HyperstackAggressively priced A100/H100 per-hour instances in EU/NA regionsEU-region datacenter GPUs at low hourly rates
TensorDockMarketplace pricing; consumer + datacenter GPUs from ~$0.2/hrBudget hourly GPUs with per-minute billing
Google ColabFree: Free T4 GPU notebook sessions — the classic zero-cost on-ramp
Free notebooks with T4 GPUs (availability-based); Pro tiers add better GPUs and runtimes
Learning, small fine-tunes (LoRA on 7–8B), and quick experiments without any setup

Hosted Open-Model APIs

Open-weight models (Llama, Qwen, Mistral, DeepSeek) served per-token by specialists — the middle ground between frontier APIs and running your own hardware.

ProviderPricing / free tierBest for
Together AIFree: Small starter credit for new accounts
Per-token pricing on 100+ open models (Llama 3.1 8B ≈ $0.18/M tokens)
Production open-model serving with serious throughput and fine-tuning endpoints
Fireworks AIFree: Starter credit for new accounts
Per-token open-model serving; fast function-calling-optimized deployments
Low-latency production inference on open models, incl. dedicated deployments
DeepInfraAmong the lowest per-token prices for open models; OpenAI-compatibleCheapest hosted per-token rates on Llama/Qwen/Mistral-class models
ReplicatePer-second (hardware-based) or per-token pricing; huge community model catalogRunning community models (image, audio, video, LLM) without packaging them yourself
Novita AIFree: Small trial credit
Budget per-token open-model APIs + GPU instances
Low-cost open-model APIs with an Asia-Pacific footprint

Frontier Model APIs

The closed frontier models. Highest quality, zero setup, per-token billing — the benchmark every local setup gets compared against.

ProviderPricing / free tierBest for
OpenAI APIGPT-4o $2.50/M input, $10/M output; GPT-4o Mini $0.15/$0.60Frontier quality and the broadest tooling ecosystem
Anthropic APIClaude Sonnet $3/M input, $15/M output; Haiku $0.80/$4Best-in-class coding and long-context analysis
Google Gemini APIFree: Free tier via Google AI Studio (see above)
Gemini Flash $0.10/M input, $0.40/M output; Pro $1.25/$5
Huge context windows and the lowest frontier-family prices

Local vs Cloud: which should you use?

Twelve editorial comparisons with a shared break-even calculator. Start with the flagship: Local AI vs Cloud API Costs: The Real Break-Even Math (2026).

By budget

By use case

By team size

By privacy & compliance

FAQ

Where can I use AI models for free via API?
The most useful standing free tiers in 2026: NVIDIA NIM (build.nvidia.com) gives free hosted endpoints for Llama, Nemotron and Mistral-class models; Google AI Studio offers a generous Gemini Flash free tier; Groq and Cerebras run free rate-limited developer tiers on open models at extreme speed; OpenRouter exposes rotating free model variants; and GitHub Models works with any GitHub account.
What is the cheapest way to rent a GPU for AI?
Marketplace providers are cheapest: Vast.ai and TensorDock list consumer GPUs (RTX 3090/4090 class) from roughly $0.20–0.40/hour, RunPod adds per-second serverless billing, and Lambda/Hyperstack cover datacenter A100/H100 cards. For free experimentation, Google Colab still offers T4 notebook sessions at no cost.
Should I rent a cloud GPU or buy my own?
Rent when usage is occasional (fine-tuning runs, trying a 70B model before committing) — a few dollars per experiment. Buy when usage is sustained: at a few hours of daily inference, a $1,000–2,600 build typically undercuts rental within months. Our local-vs-cloud comparison pages include a break-even calculator.
What is the difference between hosted open-model APIs and frontier APIs?
Hosted open-model providers (Together, Fireworks, DeepInfra, Groq) serve open-weight models like Llama and Qwen per token — often 10–50× cheaper than frontier APIs, and you can migrate the same model to your own hardware later. Frontier APIs (OpenAI, Anthropic, Google) serve closed models with the highest quality ceiling.

Local vs cloud cost calculator | Local AI build guide | GPU benchmarks