AI API Free Tiers 2026: What You Get, What You Don't, and When You'll Pay

Free Tier Comparison Table

Here's every provider's free tier side by side. The "What Breaks First" column is what matters most. It tells you the constraint you'll hit before any other.

LLM API Free Tiers: The Full Picture

OpenAI Free Tier

OpenAI's free tier exists, but it's severely limited. You get access to GPT-4o-mini at 500 requests per minute, which sounds generous until you realize the token-per-minute cap restricts real throughput. Reasoning models (o3, o4-mini) are capped at 3 requests per minute. GPT-4.1 and GPT-5 are available at the free tier, but with the same 3 RPM restriction on most models.

The free tier doesn't expire. You can use it indefinitely, but the rate limits make it usable only for testing individual prompts. If you need to iterate on prompt engineering or run any batch of requests, you'll hit 429 errors within minutes. Upgrading to Tier 1 costs $5 cumulative spend and unlocks 500 RPM across most models.

When you exceed the free tier rate limit, OpenAI returns a 429 status code with a retry-after header. Your requests aren't queued. They're rejected. You need to handle retries in your own code with exponential backoff.

Google Gemini API Free Tier

Google offers the most generous free tier in the industry. Gemini Flash models are available at 15 requests per minute and 1 million tokens per day, at zero cost. This is enough to build and run a small production application. No other major provider matches this volume for free.

The free tier covers Gemini 2.0 Flash and Gemini 2.0 Flash-Lite. The more capable Gemini 2.5 Pro model isn't included in the free tier for high-volume use. You get the free tier through Google AI Studio or the Gemini API directly. It doesn't expire, and there's no credit system. You just start making requests.

The 15 RPM limit is the real constraint. For a chatbot handling multiple concurrent users, 15 RPM means about one request every 4 seconds. That works for a personal project or internal tool. It doesn't work for a consumer-facing app with any meaningful traffic. The paid tier starts at $0.075 per million input tokens for Flash, which is so cheap you might as well upgrade once you have users.

Cohere Free Trial

Cohere offers a free trial tier with 1,000 API calls per month. This covers their Command models for text generation, Embed models for embeddings, and Rerank for search. The models are solid for enterprise NLP tasks like classification, summarization, and RAG.

At 1,000 calls per month, you get about 33 calls per day. That's enough to evaluate the models and build a proof of concept, but not enough for any ongoing use. The trial doesn't expire as long as you stay under the limit. Cohere's paid tier is usage-based starting around $1 per 1,000 API calls depending on the model.

Groq Free Tier

Groq's free tier is interesting because the inference speed is exceptional. Running Llama models on Groq's custom LPU hardware produces tokens faster than any other provider. The free tier gives you 30 requests per minute and roughly 6,000 tokens per minute for Llama models.

The tokens-per-minute cap is the binding constraint, not RPM. A single longer prompt can eat half your per-minute token budget. This makes Groq's free tier great for short-completion tasks (classification, extraction, short answers) and frustrating for anything involving long context or detailed responses.

Groq also supports Mixtral and other open models on the free tier. The limits vary by model. Check the Groq console for current per-model rate limits, as they adjust these regularly. When you exceed limits, you get instant 429 errors with no queuing.

Developer Tool Free Tiers

GitHub Copilot Free

GitHub Copilot Free gives you 2,000 code completions per month and 50 chat messages per month. You get access to GPT-4o and Claude 3.5 Sonnet as the underlying models. No access to Claude 3.5 Opus or other premium models on the free plan.

2,000 completions sounds like a lot until you realize how often Copilot fires. If you're coding actively, each keystroke pause can trigger a completion. In practice, heavy users burn through 2,000 completions in about 3 days. After that, you're coding without AI assistance for the rest of the month.

The 50 chat messages per month is the tighter constraint for many developers. That's less than 2 per day. If you use Copilot Chat for debugging, explaining code, or generating boilerplate, you'll exhaust this in the first week. Copilot Pro at $10/month removes both caps and is worth it for anyone coding daily.

Windsurf (Codeium) Free

Windsurf's free plan includes 50 autocomplete completions per day and limited access to Cascade, their multi-file AI editing feature. The daily reset is better than Copilot's monthly cap in some ways. You always get a fresh 50 completions tomorrow.

50 completions per day is enough for light coding. One or two focused hours of work. After that, the autocomplete stops and you're back to typing manually. Cascade flows (multi-step edits across files) are limited on the free plan but available. Windsurf Pro at $15/month removes the completion cap and gives full Cascade access.

Cursor Free Tier

Cursor gives new users a 14-day Pro trial with full features. After that, you drop to the free tier with limited completions and no access to premium models. The trial is generous. You get the complete Cursor experience, including Composer (multi-file generation), Chat, and autocomplete with no caps during those 14 days.

Once the trial ends, the free tier is bare bones. Limited slow completions, basic models only, and no Composer. If you're evaluating AI coding tools, use those 14 days on a real project so you can make an informed decision about whether Cursor Pro ($20/month) is worth it. Don't waste the trial on toy code.

Replit Free Tier

Replit's free tier includes basic IDE features, limited compute for running code, and capped access to the Replit Agent (their AI coding assistant). You can write and run code for free, but deployments are limited and the Agent has usage caps that reset monthly.

The compute limits are the real issue. Free tier projects sleep after inactivity and have limited CPU and RAM. If you're building anything that needs to stay running (a web app, a bot, an API), you'll need the paid tier. Replit Core starts at $25/month and includes more compute, always-on deployments, and higher Agent limits.

Infrastructure Free Tiers

Pinecone

Pinecone's free tier gives you 1 serverless index with up to 100,000 vectors on shared infrastructure. There's no time limit. You can keep your index running indefinitely. Query performance is acceptable for development and light production, though latency can spike since you're on shared pods.

100,000 vectors sounds like a lot. It isn't. If you're building a RAG application, each document chunk becomes a vector. A 100-page PDF might produce 500+ chunks. A knowledge base with 200 documents fills the free tier. For anything beyond a small prototype, you'll need the Starter tier at $70/month for 1 million vectors.

Weaviate Cloud

Weaviate offers a free sandbox cluster that self-destructs after 14 days. That's it. No permanent free tier. The sandbox is useful for testing Weaviate's features and running through tutorials, but you can't build anything lasting on it.

If you want free Weaviate long-term, self-host it. Weaviate is open source and runs well in Docker. You'll need your own server, but there's no licensing cost. For managed hosting, Weaviate's paid plans start around $25/month for a small cluster.

Hugging Face

Hugging Face's free tier has two parts. The Inference API lets you run models hosted by Hugging Face with rate limits that vary by model popularity. Popular models like Llama often have long queue times (30 seconds to several minutes). Less popular models respond faster but may be less capable.

Hugging Face Spaces gives you free CPU-only compute to deploy apps. This is great for demos and simple apps. GPU Spaces start at $0.60/hour. For production inference, the free tier is too unreliable. Queue times are unpredictable and there's no SLA. Use it for experimentation and model evaluation, then deploy your own infrastructure for production.

Chroma

Chroma is fully open source. There's no managed free tier because the default deployment is self-hosted. You can run Chroma locally or in Docker with no cost and no limits. It's the simplest vector database to get started with, just pip install chromadb and you're running.

The tradeoff: you manage everything yourself. Backups, scaling, uptime. For local development and small deployments, Chroma is perfect. For production at scale, you'll either need to invest in infrastructure management or switch to a managed service like Pinecone.

Which Free Tiers Are Worth Using in Production?

Most free tiers are testing-only. A few are legitimately useful beyond that. Here's the honest breakdown.

When to Upgrade: The Real Breakpoints

Here are the specific scenarios where free tiers stop working and what you should switch to.

If you're making over 100 API calls per day: Upgrade to OpenAI Tier 1 ($5 minimum cumulative spend). The free tier's 3 RPM on useful models means 100 calls takes over 30 minutes of wall time. Tier 1 gives you 500 RPM, which handles 100 calls in seconds. Or stay on Google Gemini free if 15 RPM is sufficient.

If you need more than 50 code completions per day: Get Copilot Pro ($10/month) or Windsurf Pro ($15/month). Both remove daily and monthly caps. Copilot Pro is the safer choice with broader IDE support. Windsurf Pro is better if you use Cascade for multi-file edits. Don't try to ration 50 completions across a full workday. It kills your flow.

If you're storing more than 100K vectors: Move to Pinecone Starter ($70/month) or self-host with Chroma or Qdrant. The jump from 100K to 1M vectors is where most RAG applications land. If you're on Weaviate's 14-day sandbox, decide before day 10 whether to pay or self-host. Don't let your data get deleted.

If you need guaranteed uptime: Any paid tier. Free tiers across every provider offer zero SLA. No uptime guarantee, no support, no compensation when things break. If your application has users who depend on it, the cost of a paid tier is trivially small compared to the cost of an outage you can't escalate.

If you're hitting rate limits more than once per session: That's the signal. You've outgrown the free tier. Don't build retry logic and queue systems to work around free tier limits. The engineering time to manage rate limits costs more than the paid tier itself. Upgrade and redirect that time toward your actual product.

Frequently Asked Questions

Related Resources

• OpenAI API Pricing 2026: Full Cost Breakdown
• Anthropic API Pricing: Claude Model Costs
• GitHub Copilot Pricing: Free vs Pro vs Enterprise
• Windsurf Pricing: Plans and Limits
• LLM Pricing Per Million Tokens: Every Model Compared
• AI Free Tiers in 2026: What Changed This Year