Best Free AI APIs With Generous Rate Limits in 2026

You do not need a funded credit card to prototype with a modern model in 2026. The free AI tier at half a dozen inference providers is now generous enough to run a hobby agent, a nights-and-weekends side project, or a benchmark harness for your open-weights fine-tune without paying a cent. The catch: every provider quotes its free tier differently, and a few dropped their daily caps quietly last quarter. This roundup cuts through the marketing pages and lists the ten best free AI APIs with rate limits that actually let you build something.

Every limit below is pulled from provider documentation as of April 2026. If you are reading this six months from now, assume half of these numbers have moved. The comparison table is a snapshot, not a contract.

Free AI APIs at a Glance

The short version for people who only want the table. "Commercial OK" means the provider explicitly permits production commercial traffic on the free tier. "Trial" means the key works but the terms of service bar production use.

Groq: The Speed King Keeps Its Free Tier

Groq is the fastest free AI endpoint in the market. The LPU hardware serves Llama 3.1 8B Instant at over 800 tokens per second and Llama 3.3 70B Versatile at 250 plus. The free tier gives you 30 requests per minute, 14,400 requests per day on Llama 3.1 8B with a 500K token daily budget, and 1,000 requests per day on Llama 3.3 70B. Whisper-large-v3 and Whisper-large-v3-turbo are capped at 20 RPM and 2,000 requests per day for audio workloads.

There is no credit card gate, and commercial use is permitted on the free tier. Rate limits apply at the organization level, not per user, so sharing a key between services on a side project is fair game.

curl https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-versatile",
    "messages": [{"role": "user", "content": "Write a haiku about rate limits."}]
  }'

Google Gemini: Free Flash, With a Data Trade

Google AI Studio still offers the most generous free quota on a frontier model. Gemini 2.5 Flash, 2.5 Flash-Lite, 3 Flash Preview, and 3.1 Flash-Lite Preview are all "free of charge" on the standard tier in 2026. The catch is explicit in the pricing page: free tier content is used to improve Google's products, while paid tier content is not. If your prompts contain customer data, this is a deal breaker. If you are prototyping an agent on public text, it is a free ticket to a frontier multimodal model.

Rate limits on the free tier hover around 15 requests per minute for Flash, with daily request caps that Google does not publish in a fixed table (they throttle dynamically). Google Search grounding is included at 5,000 prompts per month across Gemini 3.

from google import genai

client = genai.Client(api_key="YOUR_FREE_KEY")
response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents="What is the cheapest way to run a 70B model in 2026?"
)
print(response.text)

Cerebras Inference: 1 Million Tokens Per Day, For Free

Cerebras opened its free tier in late 2024 and it is still one of the most useful endpoints on this list. You get 30 RPM, 60,000 TPM, and a flat 1,000,000 token daily budget across most models. The current free tier exposes GPT-OSS 120B, Llama 3.1 8B, Qwen3 235B Instruct (model id qwen-3-235b-a22b-instruct-2507), and GLM 4.7 (the last one capped at 10 RPM and 100 RPD). No waitlist, no credit card, and wafer-scale speeds that clear 2,500 tokens per second on the smaller models.

Heads up: Cerebras deprecated Llama 3.3 70B and Qwen3 32B on 2026-02-16. Anything calling those IDs returns a 404. Check the live model list at inference-docs.cerebras.ai before you hard-code an ID.

curl https://api.cerebras.ai/v1/chat/completions \
  -H "Authorization: Bearer $CEREBRAS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-oss-120b",
    "messages": [{"role": "user", "content": "Summarize this in two sentences."}]
  }'

OpenRouter: One Key, Twenty-Nine Free Models

OpenRouter is the meta-provider for people who want every free AI model behind a single OpenAI-compatible endpoint. As of April 2026, OpenRouter lists 29 completely free model variants (model IDs ending in :free), drawing from Google, Meta, Mistral, NVIDIA, and others. The limits are flat: 20 requests per minute per free model, 50 requests per day across all free models for zero-credit accounts, or 1,000 requests per day if you have ever put 10 or more dollars on the account. Failed requests count toward the daily quota.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_OPENROUTER_KEY",
)
resp = client.chat.completions.create(
    model="meta-llama/llama-3.3-70b-instruct:free",
    messages=[{"role": "user", "content": "Explain rate limits to a beginner."}]
)
print(resp.choices[0].message.content)

Mistral La Plateforme: 1 Billion Free Tokens Per Model Per Month

Mistral's Experiment plan is criminally underrated. A verified phone number gets you 1 billion tokens per month on every model they host (Mistral Large, Small, Codestral, Pixtral 12B, embeddings, OCR). The per-model cap matters: you get a billion on Large, another billion on Codestral, and another on Pixtral. The rate limit is strict at 2 requests per minute, which makes it useless for real-time chat but ideal for batch jobs, synthetic data generation, and overnight benchmark runs.

from mistralai import Mistral

client = Mistral(api_key="YOUR_MISTRAL_KEY")
chat_response = client.chat.complete(
    model="codestral-latest",
    messages=[{"role": "user", "content": "Write a Python decorator that retries on 429."}]
)
print(chat_response.choices[0].message.content)

Together AI: Open-Weights Catalog Plus Signup Credit

Together AI does not ship a forever-free tier on its flagship endpoints, but new accounts start with a signup credit (currently about one dollar of inference) and access to the widest open-weights catalog on the market: Llama, Qwen, DeepSeek, Mistral, Flux, and Stable Diffusion all under one OpenAI-compatible URL. For builders who want to compare ten models side by side, Together is the cheapest way in. Commercial use is permitted once you have credits on the account.

Hyperbolic: Serverless Open-Source GPUs

Hyperbolic gives every phone-verified account a $1 promotional credit and serverless access to frontier open-source models: Llama 3.1 405B, DeepSeek R1, Llama 3.3 70B, and the Qwen family. Basic users get 60 RPM, Pro users (five dollar minimum deposit) get 600 RPM. The API is OpenAI-compatible. This is the cheapest way to touch a 405B model from Python in 2026 if you do not own eight H100s.

Cohere Trial: 1000 Calls a Month, No Production

Cohere's trial key is the only entry on this list with a hard commercial-use ban. You get 1,000 API calls per month across every Cohere endpoint (Chat, Embed, Rerank, Command R+), same model access as a paid production key, and the trial never expires as long as the account exists. The 1,000-call cap resets monthly. Good for evaluating the Rerank model on your RAG pipeline before committing. Not good for shipping anything.

Hugging Face Inference Providers: Credit Pool Across 18 Providers

Hugging Face sunsetted its legacy Serverless Inference API and replaced it with Inference Providers, a router that proxies 18 partner providers (Cerebras, Groq, Together, Fireworks, Replicate, SambaNova, Novita, Hyperbolic, Nebius, Fal, and others) behind a single credit pool. Every free account gets a monthly credit allocation. PRO at nine dollars a month gives 20x the credits (about 2M monthly usage). The rate limit sits around a few hundred requests per hour for free accounts. One Hugging Face token now buys you routing across every partner catalog, with automatic failover when a provider rate-limits you.

from huggingface_hub import InferenceClient

client = InferenceClient(api_key="hf_YOUR_TOKEN")
out = client.chat_completion(
    model="openai/gpt-oss-120b",
    messages=[{"role": "user", "content": "What is the capital of free tier?"}]
)
print(out.choices[0].message.content)

Anthropic Claude: Starter Credits, Not a Free Tier

Anthropic does not run a recurring free AI tier on the API. New accounts at platform.claude.com receive a small starter credit (community reports it at roughly five dollars) to test Haiku 4.5, Sonnet 4.6, and Opus 4.6. Once those credits burn, you prepay. The program worth knowing about is Claude for Open Source, launched February 2026: qualifying open-source maintainers get six months of Claude Max 20x for free. Students can apply for around $50 in API credits. Startups can stack programs for $25K and up. None of those are self-serve, but if you maintain a reasonably starred repo, it is worth the ten-minute application.

Decision Matrix: Which Free Tier Should You Actually Use?

Picking one of these is about matching free AI to workload. A decision matrix for the three most common shapes:

• Lowest latency prototype: Groq first, Cerebras second. Both clear 500 tokens per second on 70B class models. Both have enough RPD headroom for a solo developer's side project.
• Most generous monthly volume: Mistral La Plateforme (1B tokens per model per month) wins on pure volume for batch workloads. Cerebras (1M tokens per day, no monthly cap) wins for bursty real-time work.
• Best for production prototyping without future surprises: Groq and Cerebras. Both allow commercial use on free tier today, both have published limits, both serve open-weights models you can self-host later when you outgrow the free ceiling.
• Best for hitting a lot of different models from one key: OpenRouter for immediate access, Hugging Face Inference Providers if you already have an HF PRO subscription.

One warning: free tiers shrink. Groq cut its daily token budget on 70B models twice in 2025. Google has quietly reduced Flash free-tier RPM once already in 2026. Build with a fallback chain from day one (LiteLLM, OpenRouter, or a custom router) so your agent does not die the day a provider tightens the spigot.

Limitations and Gotchas

Free AI APIs are gifts, not contracts. Things to budget for:

• Silent deprecation. Cerebras pulled Llama 3.3 70B and Qwen3 32B on 2026-02-16. Pin model IDs in config, not code, and run a weekly health check.
• Training data trade. Google Gemini free tier logs your prompts for training. Do not send PII or proprietary prompts.
• Trial-only keys. Cohere explicitly bars production traffic on trial keys. Read the ToS.
• Rate limits are cached. Groq prompt-caches identical system prompts and those cached tokens do not count against your TPM. Write your agent with a stable system prompt and you stretch your free tier twice as far.

Sources and Further Reading

• Groq rate limits documentation
• Google Gemini API pricing
• Cerebras Inference rate limits
• OpenRouter rate limit documentation
• Mistral La Plateforme pricing tiers
• Hyperbolic pricing and rate limits
• Cohere trial key rate limits
• Hugging Face Inference Providers pricing

Sign up at console.groq.com, paste the API key into your environment, run the curl snippet above, and you have 14,400 free Llama 3.1 8B requests waiting in under two minutes.