You do not need to pay anything to use a capable LLM in 2026. Gemini Flash 1.5 gives you 1.5 million free tokens per day via Google AI Studio. Groq's free API tier runs Llama 3.3 70B at 750 tokens per second. Ollama lets you run Llama 3.3, Mistral, and Phi on your local machine with no API key and no usage limits. Between these options, most personal projects, prototypes, and research workflows can run at zero cost.
This guide distinguishes between models that are genuinely free (no credit card, no expiry) and models on free tiers that have message limits or require a card after a trial.
Genuinely Free: No Credit Card Required
Gemini Flash 1.5 via Google AI Studio
Google AI Studio (aistudio.google.com) gives free access to Gemini Flash 1.5 and Gemini Flash 2.0 with no credit card required.
Free tier limits as of May 2026:
- 15 requests per minute
- 1,500 requests per day
- 1.5 million tokens per day
- 1 million token context window
At 1.5 million free tokens per day, you can process roughly 1,000 to 1,500 pages of text, or make thousands of short API calls. For personal projects, research scripts, and prototypes, this limit is rarely hit.
Gemini Flash 2.0 benchmark scores: MMLU approximately 78%, HumanEval approximately 74% (Papers With Code, May 2026). These scores are lower than frontier models like Claude 3.5 Sonnet or GPT-4o, but for many tasks the quality difference is not meaningful.
The multimodal capability is notable: Gemini Flash handles images and audio at no cost in the free tier. For building a prototype that analyzes images or processes audio, this is the fastest path to a working demo with no spend.
How to start: go to aistudio.google.com, sign in with a Google account, and you can make API calls immediately. No billing setup required.
Groq (Llama 3.3 70B and Mixtral)
Groq (groq.com) offers a free API tier that runs open-source models on their custom LPU inference hardware. The result is extremely fast inference: Llama 3.3 70B runs at approximately 750 tokens per second on Groq, compared to 50 to 100 tokens per second on standard GPU infrastructure.
Free tier limits as of May 2026:
- 30 requests per minute (varies by model)
- 14,400 requests per day
- Rate limits reset daily
Models available on the free tier: Llama 3.3 70B, Llama 3.1 8B, Mixtral 8x7B, Gemma 7B.
Llama 3.3 70B is a strong open-source model. On HumanEval it scores approximately 80%, on MMLU approximately 86% (Papers With Code, May 2026). This is meaningfully below Claude 3.5 Sonnet and GPT-4o, but for many tasks, particularly summarization, classification, and conversational use, it is more than sufficient.
The speed advantage is real. At 750 tokens per second, Groq generates a 500-token response in under one second. For applications where response latency matters, Groq's free tier is hard to beat.
Ollama (Fully Local, No Limits)
Ollama (ollama.com) is a tool that runs open-source LLMs directly on your local machine. No API key, no rate limits, no usage costs. You pay for electricity and hardware, nothing else.
Models you can run locally via Ollama:
- Llama 3.3 70B (requires approximately 40GB RAM or VRAM)
- Llama 3.1 8B (runs on a standard laptop with 8GB RAM)
- Phi-3.5 Mini (runs on low-end hardware, designed for efficiency)
- Mistral 7B (strong coding and reasoning for its size)
- Gemma 2 9B (Google's open model, good all-around performance)
For complete privacy (medical notes, legal documents, personal data), Ollama is the right choice. Your data never leaves your machine.
The quality limitation is real: a locally run Llama 3.1 8B model is not as capable as Claude 3.5 Sonnet or GPT-4o. But for summarization, basic Q&A, first drafts, and classification tasks, it is entirely usable.
Installation:
# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh
# Pull and run Llama 3.1 8B
ollama run llama3.1:8b
OpenRouter Free Models
OpenRouter (openrouter.ai) aggregates many models behind a single API. Several models are available with zero per-token cost.
Free models available on OpenRouter as of May 2026 include various open-source models (Llama, Mistral, Gemma variants). The specific free selection changes as providers add and remove free tiers.
OpenRouter is useful for testing multiple models through one consistent API without setting up separate accounts for each provider.
Together AI Free Credits
Together AI (together.ai) offers $5 in free credits on signup, giving access to a wide range of open-source models including Llama 3.3 70B, Mixtral 8x7B, and many others. At Together AI's pricing, $5 covers several million tokens.
Free Tiers With Message Limits
These require creating an account and have more restrictive limits but include stronger models.
Claude.ai Free Tier
Claude.ai free gives access to Claude 3.5 Sonnet, one of the strongest models available. The limitation is message count: the free tier limits you to a handful of conversations per day before hitting a rate limit.
For daily use as a writing and research assistant, the free tier is often enough. For building applications, you need the API (paid).
ChatGPT Free Tier
OpenAI's ChatGPT free gives access to GPT-4o-mini with limited access to GPT-4o. GPT-4o-mini is a capable, fast model at a reduced quality tier compared to full GPT-4o.
Gemini.google.com
Google's consumer Gemini interface gives free access to Gemini 1.5 Pro in the browser. This is different from the API: you cannot call it programmatically without a key, but for manual use and research, it is free.
How to Cover Your Use Cases at $0/Month
Here is a practical combination for developers who want to stay on free tiers:
- Quick API calls and prototyping: Google AI Studio (Gemini Flash 2.0) — 1.5M free tokens/day, handles images
- Fast inference for chatbots or interactive tools: Groq free tier (Llama 3.3 70B) — 750 tokens/sec, 14,400 req/day
- Private processing of sensitive documents: Ollama running locally — no limits, no data leaving your machine
- Best quality for occasional complex tasks: Claude.ai free or ChatGPT free (manual use, not API)
This stack covers the vast majority of personal and prototype use cases without spending anything.
Keep Reading
- Deepseek V3 vs GPT-4o: The Cheap vs. Expensive LLM Showdown — When you're ready to upgrade from free
- Best LLM for Coding in 2026: Real Benchmark Scores Compared — Which free models are worth using for development
- How Large Language Models Work: A Complete Guide Without the Math Overload — What is actually running when you use these models
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