Free AI for Open Source

A grant of 15,000,000 free AI tokens plus Pro-tier API access for maintainers of actively maintained open source projects.

100% vun der Fläch ass bewunnt.

All Modell op dem Free.ai ass Open-Source ënner permissiven Lizenzen (Apache 2.0, MIT, BSD). Keng Llama/Meta Lizenzen. Mir gleewen, datt KI transparent, auditéierbar a fräi ze benotzen ass.

Chat & Sproochmodeller

ModellUse CaseLizenzQuelltext
Qwen2.5-72BAllgemeng Gespréicher, Argumenten, AnalysenApache 2.0HuggingFace
Qwen2.5-7BSchnell Chat, liicht AufgabenApache 2.0HuggingFace
Mistral-7BSchnell Chat, allgemeng ZweckApache 2.0HuggingFace
Lëtzebuerger-3D'Mathematik ass eng Wëssenschaft.MITHuggingFace

Code Modeller

ModellUse CaseLizenzQuelltext
Qwen2.5-Coder-32BCodegeneréierung, DebuggingApache 2.0HuggingFace
DeepSeek-Coder-V2-LiteCode-Vervollstännegung, IwwerpréiwungMITHuggingFace

Bild & Video Modeller

ModellUse CaseLizenzQuelltext
FLUX.1-schnellBildgeneratiounApache 2.0HuggingFace
Stable Diffusion XLBildgeneratioun mat héijer QualitéitOpenRAIL++HuggingFace
Lëtzebuerg 2.2.Artistesch BildgeneréierungApache 2.0HuggingFace
CogVideoX-2BVideogeneréierung aus TextApache 2.0HuggingFace

Sproochen a Sproochemodeller

ModellUse CaseLizenzQuelltext
KokoroText-zu-SproochApache 2.0HuggingFace
PiperText-zu-SproochMITGitHub
MeloTTSText-zu-SproochMITGitHub
ChatterboxText-zu-SproochMITHuggingFace
OuteTTSText-zu-SproochApache 2.0HuggingFace
faster-whisperSprooch-zu-TextMITGitHub
WachsSprooch-zu-TextApache 2.0GitHub
ACE-Step 3.5BMusekgeneréierungApache 2.0HuggingFace
Mel-Band RoFormerMusek (Stëmm, Instrument)MITarXiv
SCNetMusektrennung (Drums, Bass, aner)Apache 2.0arXiv

Iwwersetzung, Vision & Other Models

ModellUse CaseLizenzQuelltext
Mäerz 1943 bis den 3.Iwwersetzung (450+ Sproochen)Apache 2.0HuggingFace
Real-ESRGANBildvergréisserungBSDGitHub
D'Bréck ass 2,00 m breet.Hintergrund entfernenApache 2.0HuggingFace
USABildsegmentéierungApache 2.0GitHub
DeOldifyFoto-ColorisationMITGitHub
all-MiniLM-L6-v2TextembezéiungenApache 2.0HuggingFace
TesseractOCRApache 2.0GitHub

Open Source Betreiberprogramm

Maintainers of actively maintained open source projects can apply for a free grant of 15,000,000 tokens, the token allowance of a year of Pro, plus API keys at the Pro request tier (100,000 requests per month). The grant covers every tool that runs on our self-hosted models. Premium external models are not part of the grant: they use purchased tokens.

Qualifikatioun

  • Dir pflegt de Projet (Eigentümer oder regelméissege Committer), an säi Repository ass ëffentlech ënner enger OSI-approuvéierter Open Source Lizenz
  • Et ass aktiv gepflegt, mat Commits oder Releases an de leschte 90 Deeg
  • Other people use it, shown by at least one of: 50 GitHub stars, 1,000 package downloads a month, or projects that depend on it
  • Eng Subventioun pro Free.ai Konto iwwer Open Source, Non-Profit a Startup Programmer, der engem Konto, deen Dir scho kreéiert hutt, bäigefüügt

Fir ze ufroen, schéckt de Repository Link an e Link op d'Beweiser vun der Benotzung (Stär, Download Statistiken oder Ofhängegkeeten) vun der E-Mail-Adress op Ärem Free.ai Kont. Kontaktformular

FAQ

Yes. Every model we run on our GPU servers is open-source under permissive licenses -- Apache 2.0, MIT, or BSD. We deliberately exclude models with restrictive licenses like Meta's Llama license. You can inspect, use, and modify all models freely.

Meta's Llama license includes restrictions on commercial use for large companies and requires specific attribution. We only use models with truly permissive licenses (Apache 2.0, MIT, BSD) that allow unrestricted commercial and personal use by anyone.

Every model in our table links to its source on HuggingFace or GitHub. You can download the weights directly from these repositories and run them on your own hardware.

Qwen2.5-72B is our most capable chat model for complex reasoning and analysis. Qwen2.5-7B and Mistral-7B are faster options for everyday tasks. Phi-3 is excellent for efficient reasoning and math.

We use five text-to-speech models: Kokoro (Apache 2.0), Piper (MIT), MeloTTS (MIT), Chatterbox (MIT), and OuteTTS (Apache 2.0). Each has different strengths in voice quality, speed, and language support.

FLUX.1-schnell for fast generation (Apache 2.0), Stable Diffusion XL for high-quality images (OpenRAIL++), and Kandinsky 2.2 for artistic styles (Apache 2.0). For video, we use CogVideoX-2B, Wan 2.2 and HunyuanVideo.

If you have developed or know of an open-source model under a permissive license that you think we should host, contact us. We evaluate models based on quality, license compatibility, and user demand.

Free grant of 15,000,000 tokens plus API keys at the Pro request tier (100,000 requests per month) for maintainers of actively maintained open source projects with evidence of use. It covers the tools that run on our self-hosted models. Premium external models are not part of the grant and use purchased tokens. Apply with a link to your repository and to the evidence of use.

We evaluate every model before deploying it based on benchmark performance, real-world output quality, inference speed, and license compliance. Only models that meet our quality bar are added to the platform.

We use MadLAD-400 3B from Google, which supports 450+ languages under an Apache 2.0 license. It handles even low-resource languages that many commercial translation services do not support.

Real-ESRGAN (BSD) for image upscaling, BRIA RMBG 2.0 (Apache 2.0) for background removal, SAM (Apache 2.0) for image segmentation, and DeOldify (MIT) for photo colorization.

Nee: Premium extern Modeller wéi GPT-5, Claude an Gemini sinn proprietär, hunn hir eege Lizenzbedingungen, lafen op kaaft Token an sinn net Deel vun enger Comp Grant. Just déi self-hosted Modeller op dëser Säit sinn Open Source.

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