Free LLM API Resources: The Complete Guide to Accessing AI Models Without Cost
The AI revolution shouldn't be locked behind paywalls. Whether you're a student prototyping your first chatbot, a startup validating a product idea, or an experienced developer exploring new models, access to LLM APIs without upfront costs is critical. That's exactly what Free LLM API Resources provides — a meticulously maintained, community-curated list of every legitimate free and trial-credit LLM inference service accessible via API.
With 15,000+ GitHub stars, 1,507 forks, and regular updates tracking the rapidly evolving landscape of free AI services, this repository by cheahjs has become the go-to reference for developers navigating the free LLM API ecosystem. Frequently cited across Reddit communities (r/datascience, r/ollama, r/learnmachinelearning, r/vibecoding, r/GithubCopilot, r/RooCode), it serves as a living map of where to get free AI inference.
In this comprehensive guide, we'll break down every provider listed, compare rate limits and models, explore use cases, and show you how to maximize your free API access.
What Is Free LLM API Resources?
Free LLM API Resources is a curated list of services that provide free access or credits towards API-based LLM usage. It's organized into two categories:
- Free Providers — Services offering permanently free tiers (13 providers)
- Providers with Trial Credits — Services offering one-time free credits for new accounts (12+ providers)
Key Principles
The repository follows two important rules:
"Please don't abuse these services, else we might lose them."
"This list explicitly excludes any services that are not legitimate (e.g., reverse engineers an existing chatbot)."
This means only official, sanctioned free tiers from legitimate companies are included — no sketchy proxy services, no reverse-engineered APIs, no unauthorized access.
Project Stats
| Metric | Value |
|---|---|
| GitHub Stars | 15,000+ |
| Forks | 1,507 |
| Language | Python |
| Created | July 2024 |
| Last Updated | March 2026 (continuously) |
| Contributors | 6 |
| Categories | Free Providers, Trial Credits |
| Topics | ai, claude, gemini, llama, llm, openai |
Free Providers: The Complete Breakdown
These services offer permanently free tiers — no credit card, no expiring credits (unless noted).
OpenRouter
The Swiss Army knife of LLM APIs. OpenRouter acts as a unified gateway to multiple model providers, offering dozens of models through a single API endpoint.
| Detail | Value |
|---|---|
| Rate Limits | 20 req/min, 50 req/day (1,000/day with $10 lifetime topup) |
| Notable Free Models | Gemma 3 (4B/12B/27B), Llama 3.3 70B, Mistral Small 3.1 24B, GPT-OSS 120B, Qwen3 Coder |
| API Compatibility | OpenAI-compatible |
| Signup | Free, no credit card |
Best for: Developers who want access to many models through one API endpoint. The OpenAI-compatible API means you can swap models without changing code.
Google AI Studio
The most generous free tier, offering access to Google's flagship Gemini models.
| Detail | Value |
|---|---|
| Rate Limits | Generous (varies by model) |
| Notable Models | Gemini 2.0 Flash, Gemini 1.5 Flash, Gemini Pro |
| Caveats | Data used for training outside UK/CH/EEA/EU |
| API Compatibility | Google API / OpenAI-compatible wrapper available |
Best for: Users needing powerful models with large context windows. The privacy trade-off (data training outside EU/EEA) is important to consider.
NVIDIA NIM
NVIDIA's inference microservice platform providing free API access to various open models.
| Detail | Value |
|---|---|
| Rate Limits | 40 req/min |
| Requirements | Phone number verification |
| Caveats | Models tend to be context window limited |
| Models | Various open models via build.nvidia.com |
Best for: Testing NVIDIA's optimized inference for open-source models, especially for comparing performance.
Mistral (La Plateforme + Codestral)
Two separate free tiers from Mistral AI:
La Plateforme (Experiment Plan):
| Detail | Value |
|---|---|
| Rate Limits | 1 req/sec, 500K tokens/min, 1B tokens/month |
| Caveats | Requires opting into data training, phone verification |
| Models | Open and proprietary Mistral models |
Codestral:
| Detail | Value |
|---|---|
| Rate Limits | 30 req/min, 2,000 req/day |
| Models | Codestral (specialized for code) |
Best for: Mistral's Codestral is one of the best free options for code generation. The 1 billion tokens/month on La Plateforme is remarkably generous.
HuggingFace Inference Providers
| Detail | Value |
|---|---|
| Credits | $0.10/month in free credits |
| Caveats | Limited to models smaller than 10GB (with exceptions) |
| Models | Various open models across supported providers |
Vercel AI Gateway
| Detail | Value |
|---|---|
| Credits | $5/month |
| Feature | Routes to various supported providers |
Cerebras & Groq
Two hardware-accelerated inference providers known for blazing-fast response times. Both offer free API access for development.
Cohere
| Detail | Value |
|---|---|
| Rate Limits | 20 req/min, 1,000 req/month |
| Models | Command A, Command R, Aya Expanse/Vision, C4AI models |
Best for: Multilingual applications. Cohere's Aya models support 100+ languages.
GitHub Models
| Detail | Value |
|---|---|
| Rate Limits | Dependent on Copilot subscription tier |
| Caveats | Extremely restrictive input/output token limits |
| Models | GPT-5, GPT-4.1, o3, o4-mini, DeepSeek R1, Llama 4, Grok 3, Phi-4, and many more |
Best for: Quick prototyping when you already have a GitHub account. Impressive model selection, but token limits make production use impractical.
Cloudflare Workers AI
| Detail | Value |
|---|---|
| Limits | 10,000 neurons/day |
| Models | 50+ open models including Llama 3.3 70B, Gemma 3 12B, DeepSeek R1, Qwen 2.5 Coder 32B |
Best for: Edge computing and serverless AI applications within the Cloudflare ecosystem.
OpenCode Zen
AI gateway with curated models. Free models may use data for improvement.
Providers with Trial Credits
These services offer one-time free credits that expire after a certain period. Ideal for more intensive testing.
| Provider | Credits | Duration | Key Models |
|---|---|---|---|
| Fireworks | $1 | — | Various open models |
| Baseten | $30 | — | Any supported model (pay by compute) |
| Nebius | $1 | — | Various open models |
| Novita | $0.50 | 1 year | Various open models |
| AI21 | $10 | 3 months | Jamba family |
| Upstage | $10 | 3 months | Solar Pro/Mini |
| NLP Cloud | $15 | — | Various open models (phone req.) |
| Alibaba Cloud | 1M tokens/model | — | Qwen models |
| Modal | $5-30/mo | Ongoing | Any model (pay by compute) |
| Inference.net | $1 ($25 w/ survey) | — | Various open models |
| Hyperbolic | $1 | — | DeepSeek V3, GPT-OSS 120B, Qwen3 |
| SambaNova | $5 | 3 months | Llama 4, Qwen3, DeepSeek R1/V3.1/V3.2 |
| Scaleway | 1M free tokens | — | DeepSeek, Gemma 3, Mistral, Qwen3 |
Pro tip: The best value trial credits are:
- Baseten ($30) — run any supported model
- Inference.net ($25 after survey) — various open models
- Modal ($30/month with payment method) — most flexible compute
- NLP Cloud ($15) — broad model selection
How to Maximize Your Free Access
Strategy 1: Multi-Provider Rotation
Use different providers for different needs:
- Coding: Mistral Codestral (2,000 req/day) + Groq
- General chat: OpenRouter + Google AI Studio
- Multilingual: Cohere (Aya models for 100+ languages)
- Edge/serverless: Cloudflare Workers AI
Strategy 2: OpenAI-Compatible Wrappers
Many providers support the OpenAI API format, meaning you can use a single client library:
from openai import OpenAI
# Swap providers by changing base_url and api_key
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="your-openrouter-key"
)
response = client.chat.completions.create(
model="meta-llama/llama-3.3-70b-instruct:free",
messages=[{"role": "user", "content": "Hello!"}]
)
Strategy 3: Stack Trial Credits
Sign up for multiple trial credit providers to extend your free usage window:
- Start with Baseten ($30) for intensive prototyping
- Fall back to SambaNova ($5 for 3 months) for long-term testing
- Use free tier providers (OpenRouter, Google AI Studio) for steady-state development
Privacy and Data Considerations
A critical consideration when using free APIs:
| Provider | Data Training? |
|---|---|
| Google AI Studio | ✅ Outside UK/CH/EEA/EU |
| Mistral (Experiment) | ✅ Required for free tier |
| OpenCode Zen | ✅ Free models may use data |
| HuggingFace | Varies by provider |
| OpenRouter | ❌ (for most models) |
| GitHub Models | ❌ |
| Cloudflare | ❌ |
Best practice: If data privacy is critical, prefer providers with explicit no-training policies or use the paid tiers of providers that offer them.
Use Cases
Student Projects & Learning
The most common use case. Students building chatbots, RAG systems, or AI-powered apps can use Google AI Studio or OpenRouter without any cost.
Startup Prototyping
Before committing to a paid API, test your product concept across multiple models using trial credits from Baseten, SambaNova, and Hyperbolic.
Open-Source Development
Many open-source projects reference this list to recommend free backends for their tools, especially AI coding assistants and chat interfaces.
Benchmarking & Comparison
Compare model performance across providers without paying for each one. The multi-provider nature of OpenRouter is particularly useful here.
AI Agent Development
Developers building AI agents with tools like LangChain or CrewAI can use free APIs for development and testing before switching to paid APIs for production.
Free LLM API Resources vs Alternatives
This is a curated list of free LLM API providers. Here's how it compares:
| Feature | free-llm-api-resources | awesome-free-chatgpt | free-ai-apis | LLM API Comparison Sites |
|---|---|---|---|---|
| Stars | 15K | 15.2K | 500+ | N/A (websites) |
| Focus | Legitimate free APIs | Free ChatGPT alternatives | Mixed (some unofficial) | Commercial comparison |
| Includes Reverse Proxies | ❌ No | ✅ Some | ✅ Some | ❌ No |
| Rate Limit Details | ✅ Detailed | ❌ Basic | ✅ Partial | ✅ Detailed |
| Model Lists | ✅ Per-provider | ❌ No | ✅ Partial | ✅ Yes |
| Trial Credits | ✅ Tracked | ❌ No | ❌ No | ✅ Some |
| Update Frequency | ✅ Daily/Weekly | Monthly | Irregular | Varies |
| Legitimacy Filter | ✅ Strict | ❌ Mixed | ❌ Mixed | ✅ Yes |
Why free-llm-api-resources Wins
The key differentiator is the strict legitimacy filter. Unlike other lists that mix official free tiers with reverse-engineered proxies and unofficial access methods, this repository only includes services that are officially sanctioned by the provider. This means:
- Reliability: Listed services won't suddenly disappear because they violated a provider's ToS
- Safety: No risk of your data being intercepted through unofficial proxy services
- Accuracy: Rate limits and models are documented based on official documentation
Frequently Asked Questions
Are these APIs really free?
Yes. The "Free Providers" section lists services with permanent free tiers. The "Trial Credits" section lists one-time credits that expire. No hidden costs.
Do I need a credit card?
For most free tier providers, no. Some trial credit providers may require a payment method to sign up but won't charge you until your credits run out.
Can I use these for production applications?
Most free tiers are designed for prototyping and development, not production. Rate limits are typically too restrictive for production use. Plan to migrate to paid tiers for production workloads.
Which provider has the best free tier?
For model quality: Google AI Studio (Gemini) and GitHub Models (GPT-5, o3). For rate limits: Mistral La Plateforme (1B tokens/month). For model variety: OpenRouter (20+ free models). For speed: Groq and Cerebras (hardware-accelerated inference).
Why are some providers not listed?
The repository explicitly excludes services that reverse-engineer existing chatbots, use unofficial access methods, or violate provider terms of service.
How often is the list updated?
Very frequently — often daily or weekly — as providers change their free tier offerings. The repository has had active commits through the latest update in March 2026.
Conclusion
Free LLM API Resources fills a critical gap in the AI developer ecosystem. As LLM APIs become essential infrastructure for modern applications, the ability to experiment, prototype, and learn without financial barriers is more important than ever.
With 15,000+ stars and citations across every major AI community on Reddit, this repository has earned its place as the definitive reference for free LLM access. Its strict focus on legitimate, officially sanctioned free tiers — combined with detailed rate limit documentation and model lists — makes it the most trustworthy guide available.
Whether you're a student exploring AI for the first time, a startup validating a concept, or a developer benchmarking models across providers, this list ensures you never have to pay to get started.