[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-free-ai-model-picks-that-actually-run-today-en":3,"article-related-free-ai-model-picks-that-actually-run-today-en":33,"series-industry-1f51043a-eaa0-47b2-ba3a-600d525fdbf2":76},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"1f51043a-eaa0-47b2-ba3a-600d525fdbf2","free-ai-model-picks-that-actually-run-today-en","Free AI model picks that actually run today","\u003Cp data-speakable=\"summary\">Five free AI options cover local chat, hosted APIs, and code models without a paid plan.\u003C\u002Fp>\u003Cp>Running AI does not have to start with a credit card. This June 28, 2026 list tracks verified free tiers, open-weight models, and local tools so you can choose from options like 1M-\u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> contexts, $100 trial credits, or zero-cost local \u003Ca href=\"\u002Ftag\u002Finference\">inference\u003C\u002Fa>.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>What you get\u003C\u002Fth>\u003Cth>Best for\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Google AI Studio\u003C\u002Ftd>\u003Ctd>Free access to Gemini models with generous rate limits\u003C\u002Ftd>\u003Ctd>Fast prototyping and chat apps\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>OpenRouter\u003C\u002Ftd>\u003Ctd>500+ models with a free filter\u003C\u002Ftd>\u003Ctd>Model testing across vendors\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Ollama\u003C\u002Ftd>\u003Ctd>Local model runs on your machine\u003C\u002Ftd>\u003Ctd>Private offline workflows\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Qwen 3.6-35B-A3B\u003C\u002Ftd>\u003Ctd>Apache 2.0, 3B active params, long context\u003C\u002Ftd>\u003Ctd>Efficient coding on consumer hardware\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GitHub Models\u003C\u002Ftd>\u003Ctd>Free tier for GitHub users\u003C\u002Ftd>\u003Ctd>Developer playgrounds and API tests\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. Google AI Studio\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Faistudio.google.com\u002F\">Google AI Studio\u003C\u002Fa> is the easiest free starting point if you want hosted \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> access without setting up your own stack. The list calls out Gemini 2.5 Flash and Gemini 2.0 Flash as part of the generous free tier, which makes it useful for rapid prototypes, demos, and prompt testing.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782837189810-lzqu.png\" alt=\"Free AI model picks that actually run today\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The big advantage is speed to first request. You can move from idea to working API calls in minutes, then keep using the same account as your project grows.\u003C\u002Fp>\u003Cul>\u003Cli>Free access to Gemini models\u003C\u002Fli>\u003Cli>Generous rate limits for prototyping\u003C\u002Fli>\u003Cli>Good fit for chat, extraction, and simple agents\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. OpenRouter\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopenrouter.ai\u002F\">OpenRouter\u003C\u002Fa> is the broadest free model switchboard in the list. It aggregates more than 500 models, and the free filter helps you find no-cost options from multiple providers without jumping between separate accounts.\u003C\u002Fp>\u003Cp>This is the best choice when you want to compare outputs across models before committing to one vendor. It also helps when a single provider is rate-limited or temporarily unavailable.\u003C\u002Fp>\u003Cul>\u003Cli>500+ models in one place\u003C\u002Fli>\u003Cli>Free filter for no-cost options\u003C\u002Fli>\u003Cli>Useful for side-by-side model evaluation\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. Ollama\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Follama.com\u002F\">Ollama\u003C\u002Fa> gives you local inference with no API key and no per-call meter running in the background. The repository describes it as the easiest way to run local LLMs, and it supports macOS, Linux, and Windows.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782837179943-nexr.png\" alt=\"Free AI model picks that actually run today\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That makes it a strong pick for privacy-sensitive work, offline use, and development on your own machine. If you want to keep prompts and outputs on-device, this is the cleanest path on the list.\u003C\u002Fp>\u003Cul>\u003Cli>One-command model download and run\u003C\u002Fli>\u003Cli>Local API server included\u003C\u002Fli>\u003Cli>Works on macOS, Linux, and Windows\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. Qwen 3.6-35B-A3B\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fqwenlm.github.io\u002F\">Qwen 3.6-35B-A3B\u003C\u002Fa> is the code model to watch if you care about efficiency. The list notes that it is an MoE variant with only 3B active parameters, which keeps it practical for consumer hardware while still aiming at strong reasoning and long-context coding.\u003C\u002Fp>\u003Cp>For developers, that mix matters more than raw size. You get a model tuned for coding tasks, an Apache 2.0 license, and a footprint that is easier to justify on a home workstation than a giant dense model.\u003C\u002Fp>\u003Ccode>Use cases:\n- code completion\n- repo-wide reasoning\n- long-context debugging\n- agentic coding experiments\u003C\u002Fcode>\u003Ch2>5. GitHub Models\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmarketplace\u002Fmodels\">GitHub Models\u003C\u002Fa> is the most convenient option if you already live in GitHub. The free tier gives users access to GPT-4o, Llama 3.3, Mistral, and more, with a rate-limited playground and API for quick experimentation.\u003C\u002Fp>\u003Cp>Its strength is workflow fit. You can test prompts, compare model behavior, and stay inside the same account you use for \u003Ca href=\"\u002Fnews\u002Fqodo-2-8-multi-repo-ai-code-review-beta-en\">code review\u003C\u002Fa>, issues, and repos.\u003C\u002Fp>\u003Cul>\u003Cli>Free tier for GitHub users\u003C\u002Fli>\u003Cli>Playground plus API access\u003C\u002Fli>\u003Cli>Good for prompt testing in developer workflows\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>If you want the fastest hosted start, pick \u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> AI Studio. If you need a wide comparison pool, OpenRouter is the better lab bench. If privacy and offline use matter most, Ollama is the clear local choice.\u003C\u002Fp>\u003Cp>For code-heavy work, Qwen 3.6-35B-A3B gives you a strong open-weight option with an efficient MoE setup, while \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> Models is the easiest fit for teams already building inside GitHub.\u003C\u002Fp>","5 free AI options cover local chat, hosted APIs, and code models without a paid plan.","github.com","https:\u002F\u002Fgithub.com\u002F12britz\u002Fawesome-free-models",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782837189810-lzqu.png","industry","en","97b95ee3-3cce-4e3f-b97a-ef74f68ca1e8",[17,18,19,20,21,22,23,24],"free ai models","free api providers","local inference","ollama","google ai studio","openrouter","github models","qwen code model",[26,27,28],"Google AI Studio is the quickest free hosted option for Gemini access.","Ollama is best when you want local, private inference with no API key.","Qwen 3.6-35B-A3B is the strongest code-focused open-weight pick here.",0,"2026-06-30T16:32:31.559964+00:00","2026-06-30T16:32:31.552+00:00","3b013d33-31d4-481e-b47a-5a9b0241dfe0",{"tags":34,"relatedLang":35,"relatedPosts":39},[],{"id":15,"slug":36,"title":37,"language":38},"5-ge-jintian-jiu-neng-pao-de-mianfei-ai-moxing-zh","5 個今天就能跑的免費 AI 模型","zh",[40,46,52,58,64,70],{"id":41,"slug":42,"title":43,"cover_image":44,"image_url":44,"created_at":45,"category":13},"636771ba-3033-40f5-a54d-d775ead4f539","devin-docs-ai-engineer-fit-en","Devin docs show where the AI engineer fits","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782847971059-1wkj.png","2026-06-30T19:32:22.473888+00:00",{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":13},"a08713cd-888c-47b1-9be8-a35de08d73fc","android-june-2026-google-system-updates-en","Android June 2026 Google System Updates: What Changed","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782847077600-6qbf.png","2026-06-30T19:17:32.241652+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":13},"23cb640e-491c-4a82-bfe6-66ffe2e83df8","asiastrategy-yahoo-finance-page-not-investment-research-en","AsiaStrategy’s Yahoo Finance page is not investment research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782841660267-p3un.png","2026-06-30T17:47:20.702311+00:00",{"id":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":13},"11b31146-7206-42ab-8f9f-da9cf0d98714","ai-infrastructure-trillion-dollar-asset-class-en","AI infrastructure is becoming a trillion-dollar asset class","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782826367545-pqf5.png","2026-06-30T13:32:23.803581+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"category":13},"790789d3-c794-430e-93b8-20614574dea1","ai-demand-starts-paying-for-data-centers-en","AI Demand Starts Paying for Data Centers","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782825479139-dy7a.png","2026-06-30T13:17:34.991501+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":13},"bc3a5cde-08c3-45db-89c7-1ca4419c1d4e","ai-should-govern-sdlc-before-code-en","AI should govern the SDLC before it writes code","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782822779071-04gq.png","2026-06-30T12:32:21.899561+00:00",[77,82,87,92,97,102,107,112,117,122],{"id":78,"slug":79,"title":80,"created_at":81},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":83,"slug":84,"title":85,"created_at":86},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":88,"slug":89,"title":90,"created_at":91},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]