The Best Free LLM API in 2026
There are at least ten serious free LLM APIs in 2026. The right one for you depends on what you optimize for: latency, model breadth, free-tier limits, ecosystem, or data residency. This guide reviews each — and tells you which one wins on which axis.
TL;DR — The Quick Pick
- Fastest inference: Groq (LPU) or Cerebras (wafer-scale). Both clear 1,000+ tokens/sec on Llama 3 70B.
- Most generous free tier: Mistral La Plateforme (1B tokens/month experimental tier) and Google AI Studio (1.5M tokens/day on Flash).
- Most models with one key: OpenRouter (300+) and Hugging Face Inference (300k+ open models).
- Frontier free: SambaNova (Llama 3.1 405B free), Google AI Studio (Gemini 1.5 Pro free).
- Production-ready free tier: none of them. Free tiers are for prototyping. See "when to upgrade" below.
Side-by-Side Comparison
| Provider | Free RPM | Free RPD | Top free model | OpenAI-compatible |
|---|---|---|---|---|
| Groq | 30 | 14,400 | Llama 3.3 70B | ✅ |
| Google AI Studio | 15 | 1,500 | Gemini 2.0 Flash | ✅ |
| OpenRouter | 20 | 200 | Llama 3.3 70B (free) | ✅ |
| Together AI | 60 | varies | Llama 3.3 70B Turbo Free | ✅ |
| Cerebras | 30 | — | Llama 3.3 70B | ✅ |
| Mistral | 60 | — | Mistral Small | ❌ (own SDK) |
| Cohere | 20 | 1,000 | Command R+ | ❌ |
| HF Inference | — | 1,000 | Llama 3.3 70B | ✅ (chat) |
| GitHub Models | 15 | 150 | GPT-4o | ✅ |
| SambaNova | 10 | — | Llama 3.1 405B | ✅ |
How to Pick
If you optimize for latency
Use Groq or Cerebras. Both regularly exceed 1,000 tokens/sec on Llama 3.3 70B — 5–10× faster than OpenAI / Anthropic on equivalent models. For real-time UX (voice agents, code copilots, live transcription), this difference is felt by users.
If you optimize for free-tier volume
Mistral La Plateforme publishes 1B tokens/month on its experimental free tier — far more than anyone else. Google AI Studio is a close second with 1.5M tokens/day on Flash models.
If you optimize for model variety
OpenRouter is the cheat code: one key, 300+ models, several free. Hugging Face Inference has 300k+ models but is harder to use for production. Both let you A/B test models without wrangling ten API keys.
If you optimize for production readiness
None of these free tiers are production-ready. They are prototyping tiers. The right move is to use the free tier for development, then upgrade the same provider's paid plan when you ship — or route via OpenRouter / Together with credits.
If you need EU data residency
Mistral La Plateforme is the cleanest answer — French company, EU-hosted, GDPR-aligned by default.
If you need vision or multimodal
Google AI Studio (Gemini) is the only free tier here with serious multimodal support (image, audio, video on Gemini 1.5 / 2.0).
When to Upgrade
You should leave the free tier when:
- Your app makes more than ~1k requests/day (most free tiers cap below this).
- You need a 99% uptime SLA — free tiers do not commit to one.
- You need data privacy guarantees beyond "free, may use prompts to improve products."
- You hit context-length walls.
- Cheapest paid path: Groq Dev tier ($0.05–$0.59/1M input tokens) — same blazing speed.
- Most flexible paid path: OpenRouter prepaid credits — change models without changing code.
- Best paid value on open-source models: Together AI ($0.88/1M for Llama 3.3 70B Turbo).
What This Site Tracks
apis.resumesparser.com tracks live uptime, latency, and rate-limit changes for each provider listed above. If a provider's free tier degrades or a new free model lands, you can see it on the homepage leaderboard and on each provider's page.
Closing
Free LLM APIs are abundant in 2026 — pick by axis, not by hype. Groq for speed, Mistral for free volume, OpenRouter for breadth, Google AI Studio for multimodal, SambaNova for frontier-scale. Bookmark this site and check the leaderboard before you build.