mnfst

🔥 ¡Modelos de IA GRATIS para PROGRAMAR! Conseguí sus API Keys Link del repo mnfst/awesome-free-llm-apis Si quieres apoyar al canal. Link para donación con Paypal: paypal.com Únete a este canal para acceder a sus beneficios: youtube.com REDES SOCIALES TikTok: tiktok.com Canal de YouTube: youtube.com Web: informaticadp.com.ar Facebook: facebook.com Instagram: instagram.com [ar] 🔥 نماذج ذكاء اصطناعي مجانية للبرمجة! احصل على مفاتيح الـ API الخاصة بها رابط المستودع: mnfst/awesome-free-llm-apis إذا كنت ترغب بدعم القناة، إليك رابط التبرع عبر باي بال: paypal.com انضم إلى هذه القناة للاستفادة من مزاياها: youtube.com وسائل التواصل الاجتماعي تيك توك: tiktok.com قناة يوتيوب: youtube.com الموقع الإلكتروني: informaticadp.com.ar فيسبوك: facebook.com إنستغرام: instagram.com [en-US] 🔥 FREE AI Models for CODING! Get Their API Keys Repo link: mnfst/awesome-free-llm-apis If you'd like to support the channel, here's a link to donate via PayPal: paypal.com Join this channel to access its benefits: youtube.com SOCIAL MEDIA TikTok: tiktok.com YouTube Channel: youtube.com Website: informaticadp.com.ar Facebook: facebook.com Instagram: instagram.com [pt-BR] 🔥 Modelos de IA GRÁTIS para PROGRAMAR! Consiga suas API Keys Link do repositório: mnfst/awesome-free-llm-apis Se você quiser apoiar o canal, aqui está um link para doar via PayPal: paypal.com Torne-se membro deste canal para acessar seus benefícios: youtube.com REDES SOCIAIS TikTok: tiktok.com Canal do YouTube: youtube.com Site: informaticadp.com.ar Facebook: facebook.com Instagram: instagram.com

Hey! 👋🔥 As promised, here's the GitHub project for free AI APIs! 🚀 Awesome Free LLM APIs 🔗 mnfst/awesome-free-llm-apis It’s a curated list of AI providers offering free API tiers, so you can experiment with different LLMs and build AI apps without immediately paying for expensive APIs. Hope this helps you build something awesome! 🧡 Follow @clawdyai for more free AI tools, GitHub gems, and tutorials. 🚀

@brayozin_ coloquem isso num gateway, indico o manifest (mnfst/llm-gateway), la da pra configurar chaves de api e subscription, ou 9router

Links VoiceStudio: debpalash/VoiceStudio Odysseus: odysseus-dev/odysseus Free LLM APIs: mnfst/awesome-free-llm-apis Vane: ItzCrazyKns/Vane InvokeAI: invoke-ai/InvokeAI ACE-Step: ace-step/ACE-Step OpenShorts: mutonby/openshorts Dyad: dyad-sh/dyad OpenManus: FoundationAgents/OpenManus Upscayl: upscayl/upscayl These are alternatives, not drop-in replacements. Some run fully locally, some still need API keys, and several need a capable GPU or Docker. Check each project’s own installation instructions and licence before you rely on it.

You can call Gemini, Mistral and Cohere models for free, no credit card needed 🆓 It's called awesome-free-llm-apis, a curated list of LLM APIs with a permanent free tier. For each provider it tells you the exact models, context length, max output, modality and rate limits, so you know what you get before you sign up. Some examples from the list: - ✨ 𝗚𝗼𝗼𝗴𝗹𝗲 𝗚𝗲𝗺𝗶𝗻𝗶 Free tier with 1M context models like Gemini 2.5 Pro and Flash, no credit card - 🇫🇷 𝗠𝗶𝘀𝘁𝗿𝗮𝗹 𝗔𝗜 Free mode on by default with $10/month in API credits - 𝗖𝗼𝗵𝗲𝗿𝗲 Free trial key, 1,000 API calls per month, no credit card - ☁️ 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 A second section covers the services that host open models for free It even has a glossary so the rate-limit jargon (RPM, TPD, RPD) makes sense. 📊 The numbers: → ⭐ 9.9K+ stars and 1K+ forks → 👥 6 contributors → 🌍 Providers from the US, France, Canada, Israel and more 👨‍💻 Maintained by Sébastien Conejo, co-founder of Manifest. 🔗 Link to the repo 👉 mnfst/awesome-free-llm-apis -- 📬 P.S. We hand-pick the best GitHub repos and send them twice a week, 100% free → lnkd.in -- ♻️ Save this and share it with anyone building on LLMs on a budget! 🙌 #opensource #github #AI #LLM #API 🤝 Sponsored by CUFinder, the largest B2B signal data platform

Finding a usable free LLM API shouldn’t mean checking every provider one by one. Awesome Free LLM APIs is a curated GitHub list of LLM APIs with permanent free tiers for text inference. It helps you compare options faster by putting provider API-key pages, endpoints, model details, context windows, modalities, and rate limits into one scan-friendly reference. Key features: • Provider vs. inference split – separates APIs run by model makers from third-party hosts for open-weight models • Direct access links – each provider heading links to its API-key page • OpenAI SDK compatibility notes – flags that listed endpoints are compatible unless noted otherwise • Model comparison tables – shows context, maximum output, modality, and rate-limit details for listed models • Practical glossary – defines RPM, RPD, TPM, TPD, and RPS so quota labels are easier to interpret It’s open-source (CC0-1.0 license). 🔗 GitHub: mnfst/awesome-free-llm-apis ⸻ ♻️ Share this with your network if you found it useful or insightful. ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com

🔗 GitHub: mnfst/awesome-free-llm-apis --- ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com

When building, testing, and prototyping new AI applications or multi-agent workflows, managing the ongoing costs of model inference can often slow down the experimentation phase. Having access to reliable, cost-free development resources is essential for rapid iteration. This is where curated developer repositories like awesome-free-llm-apis become incredibly valuable. It serves as an open-source directory that aggregates free LLM APIs, developer tiers, and trial endpoints provided by various platforms, giving engineers the freedom to test different architectures without financial friction. From a practical perspective, having a centralized list of accessible APIs allows developers to benchmark models, test pipeline integrations, and validate agentic behaviors freely during the early stages of a project. However, convenience must always be balanced with proper governance and security. Even when leveraging free development APIs, it is vital to protect sensitive data, avoid exposing enterprise credentials, and adhere to established development standards. Smart tooling and accessible resources accelerate innovation, empowering developers to build and test faster. 🔗 GitHub Repository: mnfst/awesome-free-llm-apis #AIAgents #SoftwareEngineering #DeveloperTools #OpenSource #AIInfrastructure #API #DigitalTransformation #Innovation #Qatar #Bahrain

我只能说总结的挺全的。 mnfst/awesome-free-llm-apis

Awesome Free LLM APIs: LLM APIs with permanent free tiers for text inference (9k stars) What it does All text below is quoted directly from the project README. >LLM APIs with permanent free tiers for text inference. All endpoints are OpenAI SDK-compatible unless noted. Each link points to the provider's API key page. Provider APIs: APIs run by the companies that train or fine-tune the models themselves. Inference providers: Third-party platforms that host open-weight models from various sources. A sample of the list: - Aion Labs: Permanent free tier, no credit card required. 15 RPM, 20K tokens/day. Specialized for roleplay and storytelling. - Cohere: Free "Trial" API key, no credit card. 1,000 API calls/month. Non-commercial use only. - Google Gemini: Free tier, no credit card. Free-tier prompts may be used by Google to improve products. - Mistral AI: Free mode, enabled by default, no credit card required. $10/month in API credits, and free-mode prompts may be used to train Mistral models unless you opt out. - Groq: Free tier, no credit card. Ultra-fast LPU inference. - OpenRouter: 17 free models (marked with :free suffix). OpenAI SDK-compatible. Repository mnfst/awesome-free-llm-apis Repository stats |Metric|Value| |:-|:-| |Stars|9,410| |Forks|1,003| |Last release|None| |Languages|JavaScript 100%| |Contributors|6| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|Claude: 4| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Sébastien Conejo| |GitHub|@SebConejo| |Commits to this repo|28 (top contributor)| |Bio|Co-founder of @mnfst. Passionate about design, creativity, and emerging technologies.| |Company / Location|Manifest, Berkeley| |Website|manifest.build| |Followers|82| |Public repos|181| |On GitHub since|2015-03-30|