⚡ Stop Paying for Slow AI — These Free APIs Are 20x Faster

:rocket: Ditch Slow Free AI APIs — 14,400 Requests/Day at 500 Tokens/Sec

An API key lets you plug AI into your own apps, bots, scripts, or tools — no ChatGPT subscription, no monthly fee. And the best free ones are 20x faster than what you’ve been using.

OpenRouter’s free tier is broken by design. Slow speeds, dropped requests, provider-side throttling during peak hours, and failed attempts still count against your 50/day quota. You’re not imagining it — you’re being funneled toward the checkout page.

So stop fighting it. Here’s where to go instead.


⚡ Why OpenRouter Free Is Broken — The Numbers

Free users sit at the back of the line. Paying customers get routed first. Your request queues, times out, or just vanishes.

Provider (all free) First Token Speed What It Feels Like
DeepSeek R1 on OpenRouter ~850ms ~40 tok/s Painful. Drops constantly.
Llama 3.3 70B on Groq ~100ms 300+ tok/s Faster than ChatGPT
Llama 3.1 8B on Groq ~50ms 500+ tok/s Like typing into Google
Llama 3.1 70B on Cerebras ~80ms 450+ tok/s Blink and it’s done

20x speed difference. Same quality tier. Same price (zero). Different hardware.

OpenRouter runs on shared GPU pools — everyone fights for the same cards. Groq built custom LPU chips designed specifically for AI inference. Cerebras uses wafer-scale chips at full 16-bit precision. Different silicon, different universe.

🥇 Groq — Your New Primary (The Speed King)

Custom LPU hardware. Nothing touches it on speed. No card. No trial. No expiry. Just sign up and go.

Model Requests/Day Tokens/Day Best For
Llama 3.1 8B Instant 14,400 500K Quick tasks, high volume
Llama 3.3 70B Versatile 1,000 100K Daily driver, coding
Llama 4 Scout 17B 1,000 500K Strong reasoning
Llama 4 Maverick 17B 1,000 500K Creative + reasoning
Qwen3-32B 1,000 500K Multilingual
DeepSeek R1 Distill 70B 1,000 100K o1-class reasoning

Also free: web search, code execution, Whisper speech-to-text, text-to-speech. Cached tokens don’t count against limits. They explicitly don’t train on your data. Ever.

:link: Sign up · Rate limits · Models

🥈 Cerebras — Your Backup (The Token Monster)

Wafer-scale chips. Up to 2,600 tokens/second. Full 16-bit precision — no quantization shortcuts.

What You Get Free Tier
Daily tokens 1,000,000
Speed Up to 2,600 tok/s
Context window 8,192 tokens (free) · up to 128K (paid)
Models Llama 4 Scout, Qwen 3 235B, gpt-oss-120B, Llama 3.1 8B

Best for bulk processing when Groq’s token cap feels tight. Free tier context is only 8K — fine for chat, tight for long docs. Some models (Llama 3.3 70B, Qwen 3 32B) are being deprecated mid-Feb 2026 — check their list before building around one.

:link: Sign up · Docs

🔧 Setup — Zero to Working API in 5 Minutes

What’s an API key? A password that lets your app talk to an AI model directly. You get one for free, paste it into your code or tool, and you’re running AI without paying anyone a subscription.

Groq (Do This First)

  1. Go to console.groq.com
  2. Sign up (email or Google/GitHub — no card)
  3. API KeysCreate API Key → copy it → save somewhere safe

Paste this in your terminal to test:

curl https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_GROQ_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-versatile",
    "messages": [{"role": "user", "content": "Say hello in one sentence"}]
  }'

Response in under 1 second? That’s LPU speed. You just left OpenRouter behind.


Cerebras (Your Backup)

  1. cloud.cerebras.ai → sign up (no card) → generate API key
curl https://api.cerebras.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_CEREBRAS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama3.1-8b",
    "messages": [{"role": "user", "content": "Say hello in one sentence"}]
  }'
🔀 One Gateway, Auto-Failover (LiteLLM)

Don’t manually switch between providers. Let LiteLLM try Groq first, fall back to Cerebras automatically.

pip install litellm

Save as litellm_config.yaml:

model_list:
  - model_name: fast-chat
    litellm_params:
      model: groq/llama-3.3-70b-versatile
      api_key: YOUR_GROQ_KEY
    model_info:
      priority: 1

  - model_name: fast-chat
    litellm_params:
      model: cerebras/llama3.1-8b
      api_key: YOUR_CEREBRAS_KEY
    model_info:
      priority: 2

router_settings:
  routing_strategy: "priority-based"
  num_retries: 2
  timeout: 30
litellm --config litellm_config.yaml

Your app hits http://localhost:4000/v1/chat/completions — LiteLLM handles the rest. Groq down? Cerebras catches it. Both use the same OpenAI-compatible format. Switching providers = changing two lines.

:link: LiteLLM on GitHub

🧠 Match Model to Task — Stop Overthinking

Using a 70B model for “what’s 2+2” is like renting a bulldozer to plant a flower.

Task Use This Why
Quick Q&A, chat Llama 3.1 8B on Groq 14,400 req/day, instant
Reasoning, math DeepSeek R1 Distill 70B on Groq o1-class thinking, actually fast
Long docs, analysis Qwen 3 235B on Cerebras 1M tok/day
Coding Llama 3.3 70B on Groq Fast + accurate
Creative writing Llama 4 Maverick on Groq Stronger creative output
Multilingual Qwen3-32B on Groq Built for it
Bulk processing Any model on Cerebras Raw token throughput
💡 Free Tricks to Stretch Your Limits Further

Semantic Caching — ~31% of queries overlap with previous ones. Cache them. GPTCache cuts API calls by 60%+ while keeping 97% accuracy.

Prompt Caching on Groq — Same system prompt + different user messages? Groq caches the prefix automatically. Cached tokens don’t count against limits. Free speedup, zero setup.

Prompt CompressionLLMLingua-2 compresses prompts up to 20x. Runs on a tiny BERT-sized model. Fewer tokens in = more room under your free cap.

🌍 More Free Providers Worth Knowing
Provider Free Offer Best For
SambaNova $5 credit (30-day expiry) Only provider with Llama 405B
Cloudflare Workers AI 10K neurons/day Edge inference, no signup needed
Mistral 1B tokens/month EU/GDPR compliant (French)
Hyperbolic $1 credit (phone verify) 400+ tok/s, aggressive pricing
Cohere 1,000 calls/month Embeddings, RAG pipelines
Fireworks AI $1 credit 100+ models, batch inference

EU developers: Google Gemini’s free tier doesn’t work for EEA/UK/Switzerland users. Use Mistral, Scaleway (Paris), or OVH (Gravelines, France).

🧰 Beyond Chat — Free APIs for Everything Else
Category Top Free Pick What You Get
Embeddings Voyage AI 200M free tokens · top MTEB scores
Embeddings (self-host) Nomic Run free via ollama pull nomic-embed-text
Image Generation Pollinations.ai Unlimited, no signup · FLUX, Seedream models
Image Gen (quality) Stability AI SD3/SDXL free under $1M revenue
Speech-to-Text Deepgram $200 free credits · ~430 hours · no card
Text-to-Speech ElevenLabs 20K credits/month · voice cloning
Code Completion Supermaven Unlimited autocomplete · fastest in class
Translation Microsoft Translator 2M chars/month free
Fine-Tuning Google Colab Free T4 GPU · QLoRA 7B-8B models
AI Gateway Portkey 10K req/mo · 50+ guardrails · OSS
⚠️ Things That Don't Work
“Solution” Reality
OpenRouter free tier 50 req/day, slow, drops requests, failed calls still counted. Broken by design.
Puter.js “Free unlimited OpenRouter” — credits exhaust fast, constant “no fallback” errors.
Multiple OpenRouter accounts Tracked by identity, not API key. Against ToS. Won’t help.
Google AI Studio (heavy use) Slashed 50-80% in Dec 2025. Flash: 20 req/day. Not enough.
Self-hosting on free cloud AWS/GCP/Azure free = 1GB RAM. Exception: Oracle Cloud (24GB ARM, free forever).
📊 The Full Ranking
Provider Free Limit Speed Cost Best For
Groq (8B) 14,400 req/day :star::star::star::star::star: $0 High volume, instant
Groq (70B) 1,000 req/day :star::star::star::star::star: $0 Daily driver
Cerebras 1M tokens/day :star::star::star::star::star: $0 Bulk processing
SambaNova 40 req/model/day :star::star::star::star: $5 credit 405B model access
Mistral 1B tokens/month :star::star::star::star: $0 EU/GDPR
Self-host (Oracle) Unlimited :star::star: $0 Privacy, offline
📚 Resources
Resource What It Is
free-llm-api-resources 6.6K stars — exact rate limits for every free provider
cool-ai-stuff Tiered API directory with model availability
LiteLLM Multi-provider gateway, auto-failover
GPTCache Semantic caching — cut calls 60%+
LLMLingua Prompt compression — 20x fewer tokens

Your new stack:

  1. Groq — primary. 90% of your requests.
  2. Cerebras — backup. When you need raw token volume.
  3. LiteLLM — glues them together. Automatic failover, zero code changes.

OpenRouter was never the answer. It was the bottleneck. Now you know where the door is.

8 Likes