Building autonomous coding agents, continuous integration pull-request reviewers, log anomaly classifiers, and multi-tenant RAG pipelines does not require burning thousands of dollars per month on single-vendor inference bills. Across the 2026 AI hardware and cloud ecosystem, custom silicon manufacturers (Groq, Cerebras, SambaNova, NVIDIA), hyperscalers (Google AI Studio, Cloudflare Workers AI), frontier labs (Mistral AI, Cohere), and aggregation routers (OpenRouter, Hugging Face Inference Router) expose generous, no-credit-card free tiers speaking the standard OpenAI /v1/chat/completions wire protocol.
When a backend service relies on a single free endpoint, hitting a per-minute token ceiling (HTTP 429 Too Many Requests) stalls the entire pipeline. However, when you unify eight to twelve independent free-tier providers behind an automatic circuit-breaking failover router, your infrastructure unlocks over 2,500,000+ free tokens per day, 15,000+ daily requests, and hardware-accelerated throughput reaching 2,000 tokens per second at zero marginal cost. This technical reference documents every active free LLM API endpoint on the internet, including exact base URLs, model identifiers, rate-limit ceilings, data-retention caveats, ready-to-run curl probes, and a production TypeScript failover client.
POST /v1/chat/completions with Authorization: Bearer <API_KEY>). You do not need vendor-specific SDKs to switch between Gemini 2.5 Flash, Llama 3.3 70B on Groq or Cerebras, DeepSeek R1 on OpenRouter, or Codestral on Mistral.
Master Comparison Matrix: 12 Active Free LLM API Gateways (2026)
The specification table below compares all verified cloud inference providers offering persistent free tiers or recurring daily/monthly allowances without mandatory credit card billing:
| Provider | OpenAI-Compatible Base URL | Flagship Free Model IDs | Free Rate Limits (RPM / RPD / Tokens) | Card Needed? | Data Privacy & Training Policy |
|---|---|---|---|---|---|
| 1. Google AI Studio (Gemini) | https://generativelanguage.googleapis.com/v1beta/openai |
gemini-2.5-flash, gemini-2.5-flash-lite, gemini-2.5-pro, gemma-3-27b-it |
~15 RPM · 250K–1M TPM · 500–1,500 RPD (1M context) | No |
Free-tier prompts outside EEA/UK/CH may be reviewed and used for model training. |
| 2. Groq Cloud (LPU Engine) | https://api.groq.com/openai/v1 |
llama-3.3-70b-versatile, llama-3.1-8b-instant, deepseek-r1-distill-llama-70b, qwen-qwq-32b |
30 RPM · 1,000–14,400 RPD · 6K–30K TPM · 100K–500K TPD | No |
Prompts are not used to train foundation models by default; verify workspace telemetry settings. |
| 3. Cerebras Cloud (WSE-3) | https://api.cerebras.ai/v1 |
llama-3.3-70b, llama-3.1-8b, qwen-3-32b, deepseek-r1-distill-llama-70b |
30 RPM · 60,000 TPM · 1,000,000 Tokens/Day (~2,000 tok/s) | No |
Wafer-scale developer tier; inspect account data-retention toggle for zero-retention enforcement. |
4. OpenRouter (:free Pool) |
https://openrouter.ai/api/v1 |
openrouter/free, deepseek/deepseek-r1:free, meta-llama/llama-3.3-70b-instruct:free, qwen/qwen3-235b-a22b:free |
20 RPM · 50 RPD ($0 balance) or 1,000 RPD (≥$10 lifetime credit) | No |
Many :free providers log prompts; enforce provider.data_collection: "deny" when needed. |
| 5. Mistral AI (La Plateforme) | https://api.mistral.ai/v1 & https://codestral.mistral.ai/v1 |
mistral-small-latest, codestral-latest, pixtral-12b-2409, open-mistral-nemo |
1 RPS (60 RPM) · 500,000 TPM · up to 1B Tokens/Month | No (SMS) |
Free Experiment tier trains on prompts unless explicitly toggled off in Privacy settings. |
| 6. Cloudflare Workers AI | https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/v1 |
@cf/meta/llama-3.3-70b-instruct-fp8-fast, @cf/deepseek-ai/deepseek-r1-distill-qwen-32b, @cf/baai/bge-m3 |
10,000 Neurons/Day (~150–500 calls/day, resets 00:00 UTC) | No |
Stateless edge execution across 300+ PoPs; Cloudflare does not train models on customer inputs. |
| 7. Hugging Face Router | https://router.huggingface.co/v1 |
Qwen/Qwen2.5-72B-Instruct:fastest, deepseek-ai/DeepSeek-V3:cheapest, meta-llama/Llama-3.3-70B-Instruct |
Monthly free inference credits included with every hf_... account |
No |
Governed by the selected downstream provider (:groq, :sambanova, :together, :hf-inference). |
| 8. SambaNova Cloud (RDU) | https://api.sambanova.ai/v1 |
Meta-Llama-3.3-70B-Instruct, DeepSeek-R1, DeepSeek-V3, Qwen2.5-Coder-32B-Instruct |
20–30 RPM · Free Developer Tier with daily token quotas | No |
Reconfigurable Dataflow Unit hardware; API payloads are isolated from foundation training. |
| 9. NVIDIA NIM Catalog | https://integrate.api.nvidia.com/v1 |
meta/llama-3.3-70b-instruct, deepseek-ai/deepseek-r1, nvidia/llama-3.1-nemotron-70b-instruct |
~40 RPM · 1,000–5,000 Free Prototyping Credits (nvapi-...) |
No |
Hosted NVIDIA NIM evaluation endpoints; designed for developer prototyping and non-PII testing. |
| 10. Cohere Compatibility API | https://api.cohere.ai/compatibility/v1 |
command-a-03-2025, command-r-plus-08-2024, command-r7b-12-2024, embed-v4.0, rerank-v3.5 |
20 RPM (Chat) · 100 RPM (Embed) · 1,000 Requests/Month | No |
Trial key intended for evaluation and RAG prototyping; upgrade to Production key for zero retention. |
| 11. Pollinations.ai | https://text.pollinations.ai/openai/v1 |
openai, mistral, deepseek, qwen-coder, llama |
IP-based public rate limits; optional free token at enter.pollinations.ai |
Zero-Auth |
Open community proxy; never transmit credentials, source secrets, or personally identifiable data. |
| 12. SiliconFlow & Chutes.ai | https://api.siliconflow.com/v1 & https://llm.chutes.ai/v1 |
Qwen/Qwen2.5-7B-Instruct, THUDM/glm-4-9b-chat, deepseek-ai/DeepSeek-R1 |
Permanently free 7B–9B models on SiliconFlow; free Bittensor serverless tiers on Chutes | No |
Community and decentralized GPU providers; treat all traffic as public/non-confidential. |
Deep-Dive Provider Specifications & Endpoint Verification
Below are the exact architectural parameters, rate-limit nuances, and curl verification commands for each primary free tier.
1. Google AI Studio (Gemini Developer API)
Google AI Studio (`aistudio.google.com`) offers the most generous context window in the industry: a full 1,000,000-token context window on the free tier without requiring a Google Cloud billing account. In addition to its native generateContent REST interface, Google maintains a first-class OpenAI compatibility layer supporting tool calling, structured JSON schema outputs, and streaming Server-Sent Events (SSE).
- OpenAI Chat Completions Endpoint:
POST https://generativelanguage.googleapis.com/v1beta/openai/chat/completions - Native REST Endpoint:
POST https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent?key=$GEMINI_API_KEY - Recommended Free Models:
gemini-2.5-flash(primary reasoning & multimodal workhorse),gemini-2.5-flash-lite(high-frequency classification),gemini-2.5-pro(complex architectural debugging), andtext-embedding-004(vector indexing).
curl -sS https://generativelanguage.googleapis.com/v1beta/openai/chat/completions \
-H "Authorization: Bearer $GEMINI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-2.5-flash",
"messages": [
{"role": "system", "content": "You are a senior systems architect."},
{"role": "user", "content": "List three advantages of epoll over select in Linux."}
],
"temperature": 0.2
}'
2. Groq Cloud (Deterministic LPU Inference Engine)
Groq replaces conventional HBM-bound GPU clusters with custom SRAM-based Language Processing Units (LPUs), streaming llama-3.3-70b-versatile at 300+ tokens/sec and llama-3.1-8b-instant at over 800 tokens/sec. On Groq's free tier, the primary engineering constraint is Tokens Per Minute (TPM) (typically 6,000 to 30,000 TPM depending on the model) rather than daily request count. Keep system prompts compact to avoid bursts exceeding the 60-second sliding TPM window.
- OpenAI Chat Completions Endpoint:
POST https://api.groq.com/openai/v1/chat/completions - OpenAI Audio Whisper Endpoint:
POST https://api.groq.com/openai/v1/audio/transcriptions(supports freewhisper-large-v3-turbospeech-to-text) - Flagship Free Models:
llama-3.3-70b-versatile(1,000 RPD),llama-3.1-8b-instant(14,400 RPD),deepseek-r1-distill-llama-70b, andqwen-qwq-32b.
curl -sS 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": "Explain why SRAM eliminates memory bandwidth bottlenecks during autoregressive token decoding."}
]
}'
3. Cerebras Cloud (Wafer-Scale Engine WSE-3)
Cerebras Cloud runs inference on the WSE-3 wafer-scale processor containing 4 trillion transistors and 44 GB of on-chip SRAM. Its free developer tier grants 1,000,000 free tokens per day, 60,000 TPM, and 30 RPM at roughly 2,000 tokens/sec, making it the fastest and highest-volume free code generation endpoint available.
- OpenAI Chat Completions Endpoint:
POST https://api.cerebras.ai/v1/chat/completions - Flagship Free Models:
llama-3.3-70b,llama-3.1-8b,qwen-3-32b, anddeepseek-r1-distill-llama-70b.
curl -sS https://api.cerebras.ai/v1/chat/completions \
-H "Authorization: Bearer $CEREBRAS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-3.3-70b",
"messages": [
{"role": "user", "content": "Write a lock-free ring buffer index calculation in C."}
]
}'
4. OpenRouter (:free Model Pool & Meta-Router)
OpenRouter maintains a live catalog of more than 25 zero-cost models suffixed with :free (such as deepseek/deepseek-r1:free, deepseek/deepseek-chat-v3-0324:free, meta-llama/llama-3.3-70b-instruct:free, and qwen/qwen3-235b-a22b:free), plus the special meta-model openrouter/free that automatically dispatches requests to whichever free upstream provider currently has the lowest queue latency.
- OpenAI Chat Completions Endpoint:
POST https://openrouter.ai/api/v1/chat/completions - Programmatic Free Model Discovery: Poll
GET https://openrouter.ai/api/v1/modelsand filter entries wherepricing.prompt === "0"andpricing.completion === "0". - The $10 Credit Tier Multiplier: Pure $0 accounts are capped at 20 RPM and 50 requests/day on
:freemodels. However, depositing a one-time $10 credit permanently unlocks 1,000 requests/day on all:freemodels—and because:freemodels cost $0.00/token, your $10 balance is never spent.
curl -sS https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "HTTP-Referer: https://robertscreations.com" \
-H "X-Title: RobertsCreations Inference Router" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-r1:free",
"models": [
"deepseek/deepseek-r1:free",
"meta-llama/llama-3.3-70b-instruct:free",
"google/gemma-3-27b-it:free"
],
"messages": [
{"role": "user", "content": "Derive the time complexity of consistent hashing with virtual nodes."}
]
}'
5. Mistral AI (La Plateforme Experiment Tier & Codestral)
Mistral AI provides two distinct free pathways on console.mistral.ai after completing SMS verification: the general Experiment plan at https://api.mistral.ai/v1 (1 RPS / 60 RPM, 500,000 TPM) and the dedicated Codestral code-generation endpoint at https://codestral.mistral.ai/v1.
curl -sS https://api.mistral.ai/v1/chat/completions \
-H "Authorization: Bearer $MISTRAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "codestral-latest",
"messages": [
{"role": "user", "content": "Write a TypeScript Express middleware that validates HMAC-SHA256 webhook signatures."}
]
}'
6. Cloudflare Workers AI & Hugging Face Inference Router
Cloudflare Workers AI allocates 10,000 free Neurons per day (resetting at 00:00 UTC) across every Cloudflare account without requiring a payment method. Using its OpenAI-compatible path (https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/v1/chat/completions), you can run @cf/meta/llama-3.3-70b-instruct-fp8-fast, @cf/deepseek-ai/deepseek-r1-distill-qwen-32b, and @cf/baai/bge-m3 embeddings at the network edge with strict data isolation.
Similarly, the Hugging Face Inference Router (https://router.huggingface.co/v1/chat/completions) replaces the legacy api-inference.huggingface.co endpoint and allows developers to append dynamic routing policies directly to the model identifier—such as Qwen/Qwen2.5-72B-Instruct:fastest or deepseek-ai/DeepSeek-V3:cheapest—using free monthly starter credits included with every hf_... token.
https://models.inference.ai.azure.com authenticated via personal GITHUB_TOKEN was officially retired on July 30, 2026 and consolidated into paid Microsoft Foundry tiers. Any scripts or CI workflows still targeting models.inference.ai.azure.com must be repointed to Groq, Cerebras, Google AI Studio, or OpenRouter.
Local Zero-Cost OpenAI-Compatible Fallbacks
For air-gapped workloads, PII/HIPAA/financial processing, or final-tier fallback when all cloud rate limits are saturated, run a local OpenAI-compatible server on workstation or server GPUs:
| Local Inference Server | Local OpenAI-Compatible Endpoint | Launch Command | Primary Engineering Strength |
|---|---|---|---|
| Ollama | http://127.0.0.1:11434/v1/chat/completions |
ollama serve && ollama pull qwen2.5-coder:14b |
Zero-config model management and automatic GGUF quantization caching. |
llama.cpp (llama-server) |
http://127.0.0.1:8080/v1/chat/completions |
llama-server -m model.gguf --port 8080 -ngl 99 |
Minimal C/C++ memory footprint, flash attention, and grammar-constrained JSON output. |
| vLLM | http://127.0.0.1:8000/v1/chat/completions |
vllm serve Qwen/Qwen2.5-Coder-14B-Instruct --port 8000 |
PagedAttention continuous batching for high-concurrency multi-worker daemons. |
| LM Studio | http://127.0.0.1:1234/v1/chat/completions |
lms server start |
Interactive model inspector with local OpenAI-compatible REST server. |
Production Implementation: TypeScript Multi-Provider Free LLM Failover Router
To achieve 99.99% availability across free tiers without paying a cent, wrap the providers in a deterministic failover loop. When an upstream gateway returns HTTP 429 Too Many Requests, HTTP 503, or times out, the router immediately fails over to the next provider in the chain:
export interface ChatMessage {
role: 'system' | 'user' | 'assistant';
content: string;
}
export interface FreeProviderEndpoint {
name: string;
baseUrl: string;
apiKeyEnv: string;
model: string;
timeoutMs: number;
}
export const FREE_LLM_FAILOVER_CHAIN: FreeProviderEndpoint[] = [
{
name: 'Cerebras-WSE3',
baseUrl: 'https://api.cerebras.ai/v1',
apiKeyEnv: 'CEREBRAS_API_KEY',
model: 'llama-3.3-70b',
timeoutMs: 12000,
},
{
name: 'Groq-LPU',
baseUrl: 'https://api.groq.com/openai/v1',
apiKeyEnv: 'GROQ_API_KEY',
model: 'llama-3.3-70b-versatile',
timeoutMs: 12000,
},
{
name: 'Google-Gemini-Studio',
baseUrl: 'https://generativelanguage.googleapis.com/v1beta/openai',
apiKeyEnv: 'GEMINI_API_KEY',
model: 'gemini-2.5-flash',
timeoutMs: 20000,
},
{
name: 'OpenRouter-Free-Pool',
baseUrl: 'https://openrouter.ai/api/v1',
apiKeyEnv: 'OPENROUTER_API_KEY',
model: 'deepseek/deepseek-r1:free',
timeoutMs: 25000,
},
{
name: 'Mistral-LaPlateforme',
baseUrl: 'https://api.mistral.ai/v1',
apiKeyEnv: 'MISTRAL_API_KEY',
model: 'mistral-small-latest',
timeoutMs: 20000,
},
{
name: 'HuggingFace-Router',
baseUrl: 'https://router.huggingface.co/v1',
apiKeyEnv: 'HF_TOKEN',
model: 'Qwen/Qwen2.5-72B-Instruct:fastest',
timeoutMs: 20000,
},
{
name: 'Local-Ollama-Fallback',
baseUrl: 'http://127.0.0.1:11434/v1',
apiKeyEnv: 'OLLAMA_API_KEY',
model: 'qwen2.5-coder:14b',
timeoutMs: 30000,
},
];
export async function dispatchFreeChatCompletion(
messages: ChatMessage[],
temperature = 0.2
): Promise<{ provider: string; model: string; content: string }> {
const diagnostics: string[] = [];
for (const endpoint of FREE_LLM_FAILOVER_CHAIN) {
const apiKey =
process.env[endpoint.apiKeyEnv] ||
(endpoint.name === 'Local-Ollama-Fallback' ? 'ollama' : '');
if (!apiKey) continue;
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), endpoint.timeoutMs);
try {
const res = await fetch(`${endpoint.baseUrl}/chat/completions`, {
method: 'POST',
signal: controller.signal,
headers: {
Authorization: `Bearer ${apiKey}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: endpoint.model,
messages,
temperature,
}),
});
if (!res.ok) {
diagnostics.push(`${endpoint.name}: HTTP ${res.status}`);
continue;
}
const payload = (await res.json()) as {
choices?: Array<{ message?: { content?: string } }>;
};
const text = payload.choices?.[0]?.message?.content?.trim();
if (text) {
return {
provider: endpoint.name,
model: endpoint.model,
content: text,
};
}
} catch (err) {
diagnostics.push(`${endpoint.name}: ${(err as Error).message}`);
} finally {
clearTimeout(timer);
}
}
throw new Error(`Free LLM failover chain exhausted: ${diagnostics.join(' | ')}`);
}
Frequently Asked Engineering Questions
Which free LLM API endpoint offers the highest daily token limit without a credit card?
Cerebras Cloud currently provides the largest free daily token allowance at 1,000,000 tokens per day (30 RPM, 60,000 TPM) on llama-3.3-70b and qwen-3-32b with no credit card required. For massive single-request payloads such as full-repository static analysis, Google AI Studio leads with a 1,000,000-token context window and 250,000 to 1,000,000 TPM on gemini-2.5-flash.
Why did GitHub Models (models.inference.ai.azure.com) stop working?
GitHub officially retired the free models.inference.ai.azure.com endpoint on July 30, 2026, transitioning users to paid Microsoft Foundry (models.github.ai) billing tiers. Developers relying on GITHUB_TOKEN for free inference should switch their base URL to Google AI Studio, Groq, Cerebras, or OpenRouter.
How do I prevent free LLM endpoints from training on proprietary source code or PII?
Free tiers frequently subsidize compute by logging prompts for model evaluation (notably Google AI Studio outside the EEA/UK/Switzerland, Mistral's default Experiment tier until opted out in Workspace Privacy settings, and several upstream providers in OpenRouter's :free pool). Never send customer PII, credentials, or proprietary algorithms to public training-enabled free tiers; instead, route sensitive workloads to Cloudflare Workers AI, zero-retention accounts, or self-hosted Ollama / vLLM / llama.cpp endpoints.
