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  4. 12 Free AI API Providers in 2026: Every Free LLM API Compared (No Credit Card)

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12 Free AI API Providers in 2026: Every Free LLM API Compared (No Credit Card)
AI for Small Business

12 Free AI API Providers in 2026: Every Free LLM API Compared (No Credit Card)

Twelve AI API providers offer genuinely free tiers with no credit card in 2026. Groq gives 14,400 requests/day at 2,100 tokens/second, Google AI Studio offers indefinite Flash-model access, and OpenRouter routes 300+ models through one key. Here is the full comparison with verified rate limits.

Sham

Sham

AI Engineer & Founder, The Tech Archive

14 min read
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August 3, 2026

Verdict: Groq is the fastest free AI API in 2026 — 14,400 requests/day at ~2,100 tokens/second, no credit card, and OpenAI-compatible. Google AI Studio is the most generous for indefinite free access (Flash models at 15 RPM, 1,500 RPD, never expires). OpenRouter is the best single-key gateway, routing 300+ models (many free) through one endpoint. Together, these three cover nearly every prototype and side-project use case without a credit card.

The 12 providers at a glance

Provider Free tier? Credit card? Best free model(s) Rate limit (free) Standout feature
Groq Yes (forever) No Llama 3.3 70B, Llama 4 Scout 30 RPM, 14,400 RPD, 6K TPM ~2,100 tok/s on Llama 70B
Google AI Studio Yes (forever) No Gemini 2.5 Flash, 2.0 Flash 10–15 RPM, 250–1K RPD, 250K–1M TPM Frontier models, indefinite free
OpenRouter Yes (select models) No 300+ models, many free-tier Per-model (varies) One key, one endpoint, all providers
Cerebras Yes (forever) No GPT-OSS-120B, GLM-4.7 5 RPM, 30K TPM, 1M tokens/day 2,000+ tok/s on WSE-3 chips
Mistral AI Yes (free mode) No Large 3, Medium 3.5, Small 4 ~1 RPS, rate-limited (console) Apache-2.0 open weights
NVIDIA NIM Yes (~1,000 credits) No Llama 3.1, Mistral, Nemotron 40 RPM Enterprise-grade infra
Hugging Face Yes (rate-limited) No 1,000s of models (Llama, Mistral, Qwen) Varies (few hundred req/hr) Largest model catalog
GitHub Models Yes (rate-limited) No GPT-4o, Llama 3.1 405B, DeepSeek R1 1–10 RPM, 8–150 RPD per model Proprietary models free
Cloudflare Workers AI Yes (forever) No 50+ open-source models 10,000 Neurons/day Edge inference, global network
Cohere Yes (trial key) No Command A (111B), Aya Expanse 20 RPM, 1,000 calls/month RAG stack (Embed + Rerank)
SambaNova Yes (free tier) No DeepSeek V3.1, MiniMax M2.7 20 RPM, 20 RPD, 200K TPD RDU hardware, fast inference
xAI (Grok) Credits ($25–150/mo) Yes ($5 spend first) Grok 4, Grok 4 Fast Per-account (varies) 1M–2M context, Live Search

Which free AI API should you use?

For speed: Groq

Groq runs Llama 3.3 70B at ~2,100 tokens/second — roughly 5–7× faster than GPU-based providers, which typically deliver 280–450 tok/s on the same model. The free tier gives you 30 requests/minute, 14,400 requests/day, 6,000 tokens/minute, no credit card. All supported models share these limits: Llama 3.1 8B, Llama 3.3 70B, Llama 4 Scout, Mistral Saba, Qwen 3, Kimi K2, and GPT-OSS 120B. The API is OpenAI-compatible, so you swap two lines of code. Paid on-demand pricing starts at $0.05/$0.08 per million input/output tokens for Llama 3.1 8B, and $0.59/$0.79 for Llama 3.3 70B.

For frontier models free forever: Google AI Studio

Google AI Studio is the only major provider with a genuinely indefinite free tier for frontier-tier models. No credit card, no expiration. Gemini 2.5 Flash gets 10 RPM, 250,000 TPM, and 250 RPD. Gemini 2.0 Flash gets 15 RPM, 1,000,000 TPM, and 1,500 RPD. Gemini 2.5 Pro (Google's flagship reasoning model) is available at 5 RPM and 50 RPD — strict, but enough for testing. Paid Tier 1 starts at $1.25/$10 per million tokens for 2.5 Pro. Caveat: Google may use free-tier inputs and outputs for model training. For sensitive data, use Vertex AI (no training on your data) or upgrade to a paid tier.

For one-key access to everything: OpenRouter

OpenRouter is a routing layer, not a model host. One API key gives you access to 300+ models from OpenAI, Anthropic, Google, Meta, Mistral, xAI, DeepSeek, and dozens of open-source providers. A meaningful subset of these models is free (provider-subsidized), with rate limits set per model. The free models rotate — check the OpenRouter models page for the current free list. This is the simplest way to test many models without managing multiple API keys. The API is OpenAI-compatible at https://openrouter.ai/api/v1.

For open-weight flexibility: Mistral AI

Mistral's Studio Free mode lets you generate an API key without billing and call all API models including Mistral Large 3, Medium 3.5, and Small 4. Rate limits are roughly 1 request/second with a ~500K tokens/minute ceiling. Separately, Mistral Large 3 and other models are released under Apache-2.0 — you can download the weights from Hugging Face and self-host with no per-token fee. Large 3 has a 256K context window. For agentic and coding work, Mistral recommends Medium 3.5 over Large 3 (Large 3 is non-reasoning and slower at ~47.5 tok/s).

For the widest model catalog: Hugging Face

Hugging Face's Serverless Inference API gives you one free token that unlocks thousands of open-source models — Llama 3.1, Mistral 7B, Mixtral 8x7B, Qwen 2.5, FLUX.1, Whisper, Stable Diffusion — across text, image, and embedding tasks. The free tier is rate-limited (described as "a few hundred requests per hour" by Hugging Face, with no fixed published number) and best for models under ~10B parameters. Cold starts on less popular models can take 10–30 seconds. No credit card required. A PRO account ($9/month) includes ~$2/month of inference credits with higher rate limits and faster cold starts.


How do the free tiers compare on daily limits?

Daily request caps are the number that kills most prototypes. Here is what each provider actually gives you per day on the free tier:

Provider Daily request cap Daily token cap Context window
Groq 14,400 RPD ~8.6M tokens/day (6K TPM × 1,440 min) 128K (Llama 4 Scout)
Google AI Studio (Flash) 1,500 RPD Up to 1M TPM 1M tokens
Google AI Studio (Pro) 50 RPD 250K TPM 2M tokens
Cloudflare Workers AI ~10,000 Neurons/day Varies by model size Model-dependent
Cerebras ~1M tokens/day 1M tokens/day 8,192 tokens (free-tier cap)
SambaNova 20 RPD 200K tokens/day 128K
Hugging Face "A few hundred/hour" Not published Model-dependent
Cohere ~33 calls/day (1,000/month) Not published 128K–436K
GitHub Models 50–150 RPD (per model) ~10K TPM Model-dependent
NVIDIA NIM ~1,000 credits total Not published Model-dependent
OpenRouter Per-model (varies) Per-model Per-model

The gap is enormous. Groq gives you 14,400 requests/day. SambaNova gives you 20. If you are building a small app that makes occasional API calls, any of these work. If you are prototyping a chatbot that needs sustained throughput, Groq and Google AI Studio are the only realistic free options.


Can you use free AI APIs for production?

Short answer: Groq and Google AI Studio can handle low-volume production. The others are for prototyping only.

Groq's Developer tier raises limits ~10× over the free tier and discounts on-demand pricing by 25%. A Batch API and prompt caching bring effective costs to ~25% of on-demand. At 14,400 RPD on the free tier, you can serve a small internal tool or a low-traffic chatbot without paying.

Google AI Studio's free tier is explicitly for development. Google does not publish an SLA for it, and community reports (December 2025) mention that limits can change without notice. For production, upgrade to Tier 1 (requires billing setup) which lifts RPD caps significantly.

Hugging Face's own documentation says the free tier is "not recommended for production" — no SLA, cold starts, and rate limits that vary by account tier and model popularity. Cerebras caps free-tier context at 8,192 tokens. SambaNova caps at 20 requests/day. Cohere's trial key gives 1,000 calls/month total.

The realistic production path: start free on Groq or Google AI Studio, then move to their paid tiers (Groq Developer, Gemini Tier 1) when traffic justifies it. Both are cheap: Groq at $0.05/$0.08 per million tokens for Llama 3.1 8B, Gemini 2.5 Flash at $0.075/$0.30 per million tokens.


Which free API needs no credit card at all?

All providers in this comparison except xAI/Grok offer a free tier with no credit card required. xAI requires you to spend a minimum of $5 on the API before you can enroll in the data-sharing program that grants $150/month in free credits, which means you need a card on file.

The genuinely no-strings-attached free tiers (no card, no expiry, no spend requirement):

  • Groq — no card, no expiry, 14,400 RPD forever
  • Google AI Studio — no card, no expiry, 1,500 RPD forever (Flash)
  • Cloudflare Workers AI — no card, no expiry, 10,000 Neurons/day forever
  • Cerebras — no card, no expiry, 1M tokens/day forever
  • Hugging Face — no card, rate-limited, indefinite
  • GitHub Models — no card, rate-limited, tied to GitHub account
  • Mistral AI — no card (Free mode), rate-limited

What about models that are only available free on certain providers?

Some frontier models are available free only on specific platforms:

  • GPT-4o and GPT-4o mini — free via GitHub Models (50 RPD for GPT-4o, 150 RPD for 4o-mini). Nowhere else without paying.
  • Grok 4 — free only via xAI's $150/month data-sharing credits, which requires spending $5 first.
  • Command A (111B) — free only via Cohere trial keys (1,000 calls/month).
  • DeepSeek V3.1 / R1 — free on SambaNova (20 RPD), Groq, and OpenRouter (select models).
  • Llama 3.3 70B — free on Groq (14,400 RPD), Cerebras (1M tokens/day), GitHub Models (50 RPD), and Hugging Face (rate-limited).
  • Gemini 2.5 Pro — free only on Google AI Studio (5 RPM, 50 RPD).

If you need a specific model free, the table above tells you which provider to use.


How to pick the right free API for your project

You are building a chatbot or app prototype: Use Groq. 14,400 RPD is enough for real testing with multiple users. Llama 3.3 70B is a strong general-purpose model, and the speed (2,100 tok/s) makes the UX feel instant.

You need a frontier reasoning model (GPT-4o class) free: Use GitHub Models. It is the only provider offering GPT-4o free (50 RPD) alongside Llama 3.1 405B and DeepSeek R1. The limits are tight, but for evaluation and benchmarking, 50 RPD is enough.

You want the best single model free: Use Google AI Studio. Gemini 2.5 Pro is a frontier-tier reasoning model available free at 5 RPM / 50 RPD. No other provider gives you a model of this class for free indefinitely.

You are building a RAG system: Use Cohere. The free trial key includes Embed v4 and Rerank 3.5 (the only free tier offering production-grade embedding and reranking models). 1,000 calls/month is tight but enough to build and test a RAG pipeline.

You want to try many models without managing keys: Use OpenRouter. One key, one endpoint, 300+ models. The free subset rotates but always includes strong open-source options.

You need edge inference with low latency globally: Use Cloudflare Workers AI. 50+ open-source models on Cloudflare's global network, 10,000 Neurons/day free. Best for apps where latency to the user matters (real-time translation, on-device assistance).


The hidden catch with free AI APIs

Three things to watch:

  1. Data training. Google AI Studio and xAI's credit program may use your free-tier prompts and completions to train their models. If you are handling sensitive data (user PII, proprietary code, business documents), do not use these free tiers. Use Vertex AI (Google, no training) or self-hosted open-weight models instead.

  2. Context window caps. Cerebras caps free-tier context at 8,192 tokens — much smaller than its paid tiers. SambaNova's free tier allows 128K context but only 20 requests/day. Check the context cap, not just the RPM.

  3. Model availability changes. GitHub Models notes that "with recent Copilot changes, the free limits may disappear entirely or be severely restricted." Google has changed free-tier limits before (community reports from April 2025 mention nerfed limits). NVIDIA NIM's free credits are a one-time allocation (~1,000), not a recurring daily budget. Do not build critical infrastructure assuming current free-tier limits persist.


Related reading

  • run DeepSeek V4 Flash for free

FAQ

Q: What is the best completely free AI API with no credit card in 2026? A: Groq. It offers 14,400 requests/day, 30 RPM, 6,000 TPM, no credit card, and no expiry. Llama 3.3 70B runs at ~2,100 tokens/second. The API is OpenAI-compatible at https://api.groq.com/openai/v1.

Q: Is Google AI Studio's free tier really free forever? A: Yes. Google AI Studio offers a free tier with no credit card and no expiration. Gemini 2.5 Flash gets 10 RPM and 250 RPD. Gemini 2.0 Flash gets 15 RPM and 1,500 RPD. Google may change these limits (they have before), and the free tier's inputs/outputs may be used for model training — but there is currently no time limit or credit expiry.

Q: Can I use a free AI API for a commercial product? A: Yes, with caveats. Google AI Studio explicitly allows commercial use on the free tier (subject to the training-data caveat). Groq, Cerebras, Cloudflare, Hugging Face, and GitHub Models do not restrict commercial use on their free tiers. Cohere's trial key is described as for "evaluation, not production." NVIDIA NIM's ~1,000 free credits are a one-time allocation, not recurring.

Q: Which free API is fastest? A: Groq and Cerebras. Groq delivers ~2,100 tok/s on Llama 3.3 70B. Cerebras delivers 2,000+ tok/s on GPT-OSS-120B using its WSE-3 wafer-scale chips. Both are 5–7× faster than GPU-based inference on the same models. Google AI Studio's Gemini 2.5 Flash is also fast but does not publish consistent tok/s figures.

Q: How many free API calls can I make per day? A: It ranges from 20 (SambaNova free tier) to 14,400 (Groq free tier). Google AI Studio gives 1,500 RPD on Flash models. Cohere gives ~33/day (1,000/month). GitHub Models gives 50–150 RPD per model. Check the daily cap table above for each provider.

Q: Does OpenRouter have free models? A: Yes. OpenRouter offers a rotating subset of its 300+ models for free (provider-subsidized). The free models have per-model rate limits. Check the OpenRouter models page for the current free list. The API is OpenAI-compatible — one key unlocks everything.


What this means for you

If you are a developer or small-business owner who wants to build with AI without spending money, start with Groq + Google AI Studio. Groq gives you speed and throughput for prototyping. Google AI Studio gives you a frontier reasoning model (Gemini 2.5 Pro) free forever. Add OpenRouter as your third key for breadth, and you have access to nearly every major model without a credit card. When you outgrow the free tiers, all three providers have cheap paid tiers that start under $1 per million tokens.


Sources
  • Groq pricing and rate limits — groq.com/pricing (verified Aug 2026)
  • Google AI Studio rate limits — ai.google.dev/gemini-api/docs/rate-limits (verified Jul 2026)
  • Cerebras free tier — inference-docs.cerebras.ai/support/rate-limits (verified Jun 2026)
  • Mistral AI free mode — mistral.ai, docs.mistral.ai (verified Jul 2026)
  • NVIDIA NIM free tier — build.nvidia.com (verified Jun 2026)
  • Hugging Face Inference API — huggingface.co/docs/api-inference (verified Jun 2026)
  • GitHub Models rate limits — docs.github.com/en/github-models (verified Aug 2026)
  • Cloudflare Workers AI limits — developers.cloudflare.com/workers-ai/platform/limits (verified Jul 2026)
  • Cohere rate limits — docs.cohere.com/docs/rate-limits (verified Jul 2026)
  • SambaNova rate limits — docs.sambanova.ai/cloud/docs/get-started/rate-limits (verified Jul 2026)
  • xAI/Grok credits program — docs.x.ai (verified Aug 2026)
  • OpenRouter — openrouter.ai (verified Aug 2026)

Updates & Corrections
  • 2026-08-03 — Initial publication. All rate limits and pricing verified against primary sources on 2026-08-03. Free-tier details are volatile and should be re-verified monthly.

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Sham

Sham

AI Engineer & Founder, The Tech Archive

AI engineer (Azure AI-102/AI-900). Writes practical, tested, hype-free guides on using AI for real work and small business at The Tech Archive.

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