[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-89":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":9,"totalLinesOfCode":9,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":9,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":16,"starSnapshotCount":16,"syncStatus":34,"lastSyncTime":35,"discoverSource":36},89,"free-llm-api-resources","cheahjs\u002Ffree-llm-api-resources","cheahjs","A list of free LLM inference resources accessible via API.",null,"https:\u002F\u002Fgithub.com\u002Fcheahjs\u002Ffree-llm-api-resources","Python",23279,2378,297,20,0,46,493,1995,253,45,false,"main",[25,26,27,28,29,30],"ai","claude","gemini","llama","llm","openai","2026-06-12 02:00:07","\u003C!---\nWARNING: DO NOT EDIT THIS FILE DIRECTLY. IT IS GENERATED BY src\u002Fpull_available_models.py\n--->\n# Free LLM API resources\n\nThis lists various services that provide free access or credits towards API-based LLM usage.\n\n> [!NOTE]  \n> Please don't abuse these services, else we might lose them.\n\n> [!WARNING]  \n> This list explicitly excludes any services that are not legitimate (eg reverse engineers an existing chatbot)\n\n- [Free Providers](#free-providers)\n  - [OpenRouter](#openrouter)\n  - [Google AI Studio](#google-ai-studio)\n  - [NVIDIA NIM](#nvidia-nim)\n  - [Mistral (La Plateforme)](#mistral-la-plateforme)\n  - [Mistral (Codestral)](#mistral-codestral)\n  - [HuggingFace Inference Providers](#huggingface-inference-providers)\n  - [Vercel AI Gateway](#vercel-ai-gateway)\n  - [OpenCode Zen](#opencode-zen)\n  - [Cerebras](#cerebras)\n  - [Groq](#groq)\n  - [Cohere](#cohere)\n  - [GitHub Models](#github-models)\n  - [Cloudflare Workers AI](#cloudflare-workers-ai)\n- [Providers with trial credits](#providers-with-trial-credits)\n  - [Fireworks](#fireworks)\n  - [Baseten](#baseten)\n  - [Nebius](#nebius)\n  - [Novita](#novita)\n  - [AI21](#ai21)\n  - [Upstage](#upstage)\n  - [NLP Cloud](#nlp-cloud)\n  - [Alibaba Cloud (International) Model Studio](#alibaba-cloud-international-model-studio)\n  - [Modal](#modal)\n  - [Inference.net](#inferencenet)\n  - [Hyperbolic](#hyperbolic)\n  - [SambaNova Cloud](#sambanova-cloud)\n  - [Scaleway Generative APIs](#scaleway-generative-apis)\n\n## Free Providers\n\n### [OpenRouter](https:\u002F\u002Fopenrouter.ai)\n\n**Limits:**\n\n[20 requests\u002Fminute\u003Cbr>50 requests\u002Fday\u003Cbr>Up to 1000 requests\u002Fday with $10 lifetime topup](https:\u002F\u002Fopenrouter.ai\u002Fdocs\u002Fapi\u002Freference\u002Flimits)\n\nModels share a common quota.\n\n- [Gemma 3 12B Instruct](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-3-12b-it:free)\n- [Gemma 3 27B Instruct](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-3-27b-it:free)\n- [Gemma 3 4B Instruct](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-3-4b-it:free)\n- [Hermes 3 Llama 3.1 405B](https:\u002F\u002Fopenrouter.ai\u002Fnousresearch\u002Fhermes-3-llama-3.1-405b:free)\n- [Llama 3.2 3B Instruct](https:\u002F\u002Fopenrouter.ai\u002Fmeta-llama\u002Fllama-3.2-3b-instruct:free)\n- [Llama 3.3 70B Instruct](https:\u002F\u002Fopenrouter.ai\u002Fmeta-llama\u002Fllama-3.3-70b-instruct:free)\n- [baidu\u002Fqianfan-ocr-fast:free](https:\u002F\u002Fopenrouter.ai\u002Fbaidu\u002Fqianfan-ocr-fast:free)\n- [cognitivecomputations\u002Fdolphin-mistral-24b-venice-edition:free](https:\u002F\u002Fopenrouter.ai\u002Fcognitivecomputations\u002Fdolphin-mistral-24b-venice-edition:free)\n- [google\u002Fgemma-3n-e2b-it:free](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-3n-e2b-it:free)\n- [google\u002Fgemma-3n-e4b-it:free](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-3n-e4b-it:free)\n- [google\u002Fgemma-4-26b-a4b-it:free](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-4-26b-a4b-it:free)\n- [google\u002Fgemma-4-31b-it:free](https:\u002F\u002Fopenrouter.ai\u002Fgoogle\u002Fgemma-4-31b-it:free)\n- [inclusionai\u002Fling-2.6-1t:free](https:\u002F\u002Fopenrouter.ai\u002Finclusionai\u002Fling-2.6-1t:free)\n- [liquid\u002Flfm-2.5-1.2b-instruct:free](https:\u002F\u002Fopenrouter.ai\u002Fliquid\u002Flfm-2.5-1.2b-instruct:free)\n- [liquid\u002Flfm-2.5-1.2b-thinking:free](https:\u002F\u002Fopenrouter.ai\u002Fliquid\u002Flfm-2.5-1.2b-thinking:free)\n- [minimax\u002Fminimax-m2.5:free](https:\u002F\u002Fopenrouter.ai\u002Fminimax\u002Fminimax-m2.5:free)\n- [nvidia\u002Fnemotron-3-nano-30b-a3b:free](https:\u002F\u002Fopenrouter.ai\u002Fnvidia\u002Fnemotron-3-nano-30b-a3b:free)\n- [nvidia\u002Fnemotron-3-nano-omni-30b-a3b-reasoning:free](https:\u002F\u002Fopenrouter.ai\u002Fnvidia\u002Fnemotron-3-nano-omni-30b-a3b-reasoning:free)\n- [nvidia\u002Fnemotron-3-super-120b-a12b:free](https:\u002F\u002Fopenrouter.ai\u002Fnvidia\u002Fnemotron-3-super-120b-a12b:free)\n- [nvidia\u002Fnemotron-nano-12b-v2-vl:free](https:\u002F\u002Fopenrouter.ai\u002Fnvidia\u002Fnemotron-nano-12b-v2-vl:free)\n- [nvidia\u002Fnemotron-nano-9b-v2:free](https:\u002F\u002Fopenrouter.ai\u002Fnvidia\u002Fnemotron-nano-9b-v2:free)\n- [openai\u002Fgpt-oss-120b:free](https:\u002F\u002Fopenrouter.ai\u002Fopenai\u002Fgpt-oss-120b:free)\n- [openai\u002Fgpt-oss-20b:free](https:\u002F\u002Fopenrouter.ai\u002Fopenai\u002Fgpt-oss-20b:free)\n- [poolside\u002Flaguna-m.1:free](https:\u002F\u002Fopenrouter.ai\u002Fpoolside\u002Flaguna-m.1:free)\n- [poolside\u002Flaguna-xs.2:free](https:\u002F\u002Fopenrouter.ai\u002Fpoolside\u002Flaguna-xs.2:free)\n- [qwen\u002Fqwen3-coder:free](https:\u002F\u002Fopenrouter.ai\u002Fqwen\u002Fqwen3-coder:free)\n- [qwen\u002Fqwen3-next-80b-a3b-instruct:free](https:\u002F\u002Fopenrouter.ai\u002Fqwen\u002Fqwen3-next-80b-a3b-instruct:free)\n- [tencent\u002Fhy3-preview:free](https:\u002F\u002Fopenrouter.ai\u002Ftencent\u002Fhy3-preview:free)\n- [z-ai\u002Fglm-4.5-air:free](https:\u002F\u002Fopenrouter.ai\u002Fz-ai\u002Fglm-4.5-air:free)\n\n### [Google AI Studio](https:\u002F\u002Faistudio.google.com)\n\nData is used for training when used outside of the UK\u002FCH\u002FEEA\u002FEU.\n\n\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Model Name\u003C\u002Fth>\u003Cth>Model Limits\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\n\u003Ctr>\u003Ctd>Gemini 3 Flash\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>20 requests\u002Fday\u003Cbr>5 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini 3.1 Flash-Lite\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>500 requests\u002Fday\u003Cbr>15 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini 2.5 Flash\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>20 requests\u002Fday\u003Cbr>5 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini 2.5 Flash-Lite\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>20 requests\u002Fday\u003Cbr>10 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini 3.1 Flash TTS\u003C\u002Ftd>\u003Ctd>10,000 tokens\u002Fminute\u003Cbr>10 requests\u002Fday\u003Cbr>3 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini 2.5 Flash TTS\u003C\u002Ftd>\u003Ctd>10,000 tokens\u002Fminute\u003Cbr>10 requests\u002Fday\u003Cbr>3 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini Robotics-ER 1.6\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>20 requests\u002Fday\u003Cbr>5 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemini Robotics-ER 1.5\u003C\u002Ftd>\u003Ctd>250,000 tokens\u002Fminute\u003Cbr>20 requests\u002Fday\u003Cbr>10 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemma 3 27B Instruct\u003C\u002Ftd>\u003Ctd>15,000 tokens\u002Fminute\u003Cbr>14,400 requests\u002Fday\u003Cbr>30 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemma 3 12B Instruct\u003C\u002Ftd>\u003Ctd>15,000 tokens\u002Fminute\u003Cbr>14,400 requests\u002Fday\u003Cbr>30 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemma 3 4B Instruct\u003C\u002Ftd>\u003Ctd>15,000 tokens\u002Fminute\u003Cbr>14,400 requests\u002Fday\u003Cbr>30 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Gemma 3 1B Instruct\u003C\u002Ftd>\u003Ctd>15,000 tokens\u002Fminute\u003Cbr>14,400 requests\u002Fday\u003Cbr>30 requests\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\n### [NVIDIA NIM](https:\u002F\u002Fbuild.nvidia.com\u002Fexplore\u002Fdiscover)\n\nPhone number verification required.\nModels tend to be context window limited.\n\n**Limits:** 40 requests\u002Fminute\n\n- [Various open models](https:\u002F\u002Fbuild.nvidia.com\u002Fmodels)\n\n### [Mistral (La Plateforme)](https:\u002F\u002Fconsole.mistral.ai\u002F)\n\n* Free tier (Experiment plan) requires opting into data training\n* Requires phone number verification.\n\n**Limits (per-model):** 1 request\u002Fsecond, 500,000 tokens\u002Fminute, 1,000,000,000 tokens\u002Fmonth\n\n- [Open and Proprietary Mistral models](https:\u002F\u002Fdocs.mistral.ai\u002Fgetting-started\u002Fmodels\u002Fmodels_overview\u002F)\n\n### [Mistral (Codestral)](https:\u002F\u002Fcodestral.mistral.ai\u002F)\n\n* Currently free to use\n* Monthly subscription based\n* Requires phone number verification\n\n**Limits:** 30 requests\u002Fminute, 2,000 requests\u002Fday\n\n- Codestral\n\n### [HuggingFace Inference Providers](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Finference-providers\u002Fen\u002Findex)\n\nHuggingFace Serverless Inference limited to models smaller than 10GB. Some popular models are supported even if they exceed 10GB.\n\n**Limits:** [$0.10\u002Fmonth in credits](https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Finference-providers\u002Fen\u002Fpricing)\n\n- Various open models across supported providers\n\n### [Vercel AI Gateway](https:\u002F\u002Fvercel.com\u002Fdocs\u002Fai-gateway)\n\nRoutes to various supported providers.\n\n**Limits:** [$5\u002Fmonth](https:\u002F\u002Fvercel.com\u002Fdocs\u002Fai-gateway\u002Fpricing)\n\n\n### [OpenCode Zen](https:\u002F\u002Fopencode.ai\u002Fdocs\u002Fzen\u002F)\n\nAI gateway with curated models.\n\nFree models may use data for improvement.\n\n- Big Pickle Stealth\n- MiniMax M2.5 Free\n- Arcee Large Preview Free\n\n### [Cerebras](https:\u002F\u002Fcloud.cerebras.ai\u002F)\n\n\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Model Name\u003C\u002Fth>\u003Cth>Model Limits\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\n\u003Ctr>\u003Ctd>gpt-oss-120b\u003C\u002Ftd>\u003Ctd>30 requests\u002Fminute\u003Cbr>60,000 tokens\u002Fminute\u003Cbr>900 requests\u002Fhour\u003Cbr>1,000,000 tokens\u002Fhour\u003Cbr>14,400 requests\u002Fday\u003Cbr>1,000,000 tokens\u002Fday\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Llama 3.1 8B\u003C\u002Ftd>\u003Ctd>30 requests\u002Fminute\u003Cbr>60,000 tokens\u002Fminute\u003Cbr>900 requests\u002Fhour\u003Cbr>1,000,000 tokens\u002Fhour\u003Cbr>14,400 requests\u002Fday\u003Cbr>1,000,000 tokens\u002Fday\u003C\u002Ftd>\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\n### [Groq](https:\u002F\u002Fconsole.groq.com)\n\n\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Model Name\u003C\u002Fth>\u003Cth>Model Limits\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\n\u003Ctr>\u003Ctd>Allam 2 7B\u003C\u002Ftd>\u003Ctd>7,000 requests\u002Fday\u003Cbr>6,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Llama 3.1 8B\u003C\u002Ftd>\u003Ctd>14,400 requests\u002Fday\u003Cbr>6,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Llama 3.3 70B\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>12,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Llama 4 Scout Instruct\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>30,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Whisper Large v3\u003C\u002Ftd>\u003Ctd>7,200 audio-seconds\u002Fminute\u003Cbr>2,000 requests\u002Fday\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>Whisper Large v3 Turbo\u003C\u002Ftd>\u003Ctd>7,200 audio-seconds\u002Fminute\u003Cbr>2,000 requests\u002Fday\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>canopylabs\u002Forpheus-arabic-saudi\u003C\u002Ftd>\u003Ctd>\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>canopylabs\u002Forpheus-v1-english\u003C\u002Ftd>\u003Ctd>\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>groq\u002Fcompound\u003C\u002Ftd>\u003Ctd>250 requests\u002Fday\u003Cbr>70,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>groq\u002Fcompound-mini\u003C\u002Ftd>\u003Ctd>250 requests\u002Fday\u003Cbr>70,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>meta-llama\u002Fllama-prompt-guard-2-22m\u003C\u002Ftd>\u003Ctd>\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>meta-llama\u002Fllama-prompt-guard-2-86m\u003C\u002Ftd>\u003Ctd>\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>openai\u002Fgpt-oss-120b\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>8,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>openai\u002Fgpt-oss-20b\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>8,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>openai\u002Fgpt-oss-safeguard-20b\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>8,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>qwen\u002Fqwen3-32b\u003C\u002Ftd>\u003Ctd>1,000 requests\u002Fday\u003Cbr>6,000 tokens\u002Fminute\u003C\u002Ftd>\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\n### [Cohere](https:\u002F\u002Fcohere.com)\n\n**Limits:**\n\n[20 requests\u002Fminute\u003Cbr>1,000 requests\u002Fmonth](https:\u002F\u002Fdocs.cohere.com\u002Fdocs\u002Frate-limits)\n\nModels share a common monthly quota.\n\n- c4ai-aya-expanse-32b\n- c4ai-aya-vision-32b\n- command-a-03-2025\n- command-a-reasoning-08-2025\n- command-a-translate-08-2025\n- command-a-vision-07-2025\n- command-r-08-2024\n- command-r-plus-08-2024\n- command-r7b-12-2024\n- command-r7b-arabic-02-2025\n\n### [GitHub Models](https:\u002F\u002Fgithub.com\u002Fmarketplace\u002Fmodels)\n\nExtremely restrictive input\u002Foutput token limits.\n\n**Limits:** [Dependent on Copilot subscription tier (Free\u002FPro\u002FPro+\u002FBusiness\u002FEnterprise)](https:\u002F\u002Fdocs.github.com\u002Fen\u002Fgithub-models\u002Fprototyping-with-ai-models#rate-limits)\n\n- AI21 Jamba 1.5 Large\n- Codestral 25.01\n- Cohere Command A\n- Cohere Command R 08-2024\n- Cohere Command R+ 08-2024\n- DeepSeek-R1\n- DeepSeek-R1-0528\n- DeepSeek-V3-0324\n- Grok 3\n- Grok 3 Mini\n- Llama 4 Maverick 17B 128E Instruct FP8\n- Llama 4 Scout 17B 16E Instruct\n- Llama-3.2-11B-Vision-Instruct\n- Llama-3.2-90B-Vision-Instruct\n- Llama-3.3-70B-Instruct\n- MAI-DS-R1\n- Meta-Llama-3.1-405B-Instruct\n- Meta-Llama-3.1-8B-Instruct\n- Ministral 3B\n- Mistral Medium 3 (25.05)\n- Mistral Small 3.1\n- OpenAI GPT-4.1\n- OpenAI GPT-4.1-mini\n- OpenAI GPT-4.1-nano\n- OpenAI GPT-4o\n- OpenAI GPT-4o mini\n- OpenAI Text Embedding 3 (large)\n- OpenAI Text Embedding 3 (small)\n- OpenAI gpt-5\n- OpenAI gpt-5-chat (preview)\n- OpenAI gpt-5-mini\n- OpenAI gpt-5-nano\n- OpenAI o1\n- OpenAI o1-mini\n- OpenAI o1-preview\n- OpenAI o3\n- OpenAI o3-mini\n- OpenAI o4-mini\n- Phi-4\n- Phi-4-mini-instruct\n- Phi-4-mini-reasoning\n- Phi-4-multimodal-instruct\n- Phi-4-reasoning\n\n### [Cloudflare Workers AI](https:\u002F\u002Fdevelopers.cloudflare.com\u002Fworkers-ai)\n\n**Limits:** [10,000 neurons\u002Fday](https:\u002F\u002Fdevelopers.cloudflare.com\u002Fworkers-ai\u002Fplatform\u002Fpricing\u002F#free-allocation)\n\n- @cf\u002Faisingapore\u002Fgemma-sea-lion-v4-27b-it\n- @cf\u002Fgoogle\u002Fgemma-4-26b-a4b-it\n- @cf\u002Fibm-granite\u002Fgranite-4.0-h-micro\n- @cf\u002Fmoonshotai\u002Fkimi-k2.5\n- @cf\u002Fmoonshotai\u002Fkimi-k2.6\n- @cf\u002Fnvidia\u002Fnemotron-3-120b-a12b\n- @cf\u002Fopenai\u002Fgpt-oss-120b\n- @cf\u002Fopenai\u002Fgpt-oss-20b\n- @cf\u002Fqwen\u002Fqwen3-30b-a3b-fp8\n- @cf\u002Fzai-org\u002Fglm-4.7-flash\n- DeepSeek R1 Distill Qwen 32B\n- Deepseek Coder 6.7B Base (AWQ)\n- Deepseek Coder 6.7B Instruct (AWQ)\n- Deepseek Math 7B Instruct\n- Discolm German 7B v1 (AWQ)\n- Falcom 7B Instruct\n- Gemma 2B Instruct (LoRA)\n- Gemma 3 12B Instruct\n- Gemma 7B Instruct\n- Gemma 7B Instruct (LoRA)\n- Hermes 2 Pro Mistral 7B\n- Llama 2 13B Chat (AWQ)\n- Llama 2 7B Chat (FP16)\n- Llama 2 7B Chat (INT8)\n- Llama 2 7B Chat (LoRA)\n- Llama 3 8B Instruct\n- Llama 3 8B Instruct (AWQ)\n- Llama 3.1 8B Instruct (AWQ)\n- Llama 3.1 8B Instruct (FP8)\n- Llama 3.2 11B Vision Instruct\n- Llama 3.2 1B Instruct\n- Llama 3.2 3B Instruct\n- Llama 3.3 70B Instruct (FP8)\n- Llama 4 Scout Instruct\n- Llama Guard 3 8B\n- Mistral 7B Instruct v0.1\n- Mistral 7B Instruct v0.1 (AWQ)\n- Mistral 7B Instruct v0.2\n- Mistral 7B Instruct v0.2 (LoRA)\n- Mistral Small 3.1 24B Instruct\n- Neural Chat 7B v3.1 (AWQ)\n- OpenChat 3.5 0106\n- OpenHermes 2.5 Mistral 7B (AWQ)\n- Phi-2\n- Qwen 1.5 0.5B Chat\n- Qwen 1.5 1.8B Chat\n- Qwen 1.5 14B Chat (AWQ)\n- Qwen 1.5 7B Chat (AWQ)\n- Qwen 2.5 Coder 32B Instruct\n- Qwen QwQ 32B\n- SQLCoder 7B 2\n- Starling LM 7B Beta\n- TinyLlama 1.1B Chat v1.0\n- Una Cybertron 7B v2 (BF16)\n- Zephyr 7B Beta (AWQ)\n\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n## Providers with trial credits\n\n### [Fireworks](https:\u002F\u002Ffireworks.ai\u002F)\n\n**Credits:** $1\n\n**Models:** [Various open models](https:\u002F\u002Ffireworks.ai\u002Fmodels)\n\n### [Baseten](https:\u002F\u002Fapp.baseten.co\u002F)\n\n**Credits:** $30\n\n**Models:** [Any supported model - pay by compute time](https:\u002F\u002Fwww.baseten.co\u002Flibrary\u002F)\n\n### [Nebius](https:\u002F\u002Ftokenfactory.nebius.com\u002F)\n\n**Credits:** $1\n\n**Models:** [Various open models](https:\u002F\u002Ftokenfactory.nebius.com\u002Fmodels)\n\n### [Novita](https:\u002F\u002Fnovita.ai\u002F?ref=ytblmjc&utm_source=affiliate)\n\n**Credits:** $0.5 for 1 year\n\n**Models:** [Various open models](https:\u002F\u002Fnovita.ai\u002Fmodels)\n\n### [AI21](https:\u002F\u002Fstudio.ai21.com\u002F)\n\n**Credits:** $10 for 3 months\n\n**Models:** Jamba family of models\n\n### [Upstage](https:\u002F\u002Fconsole.upstage.ai\u002F)\n\n**Credits:** $10 for 3 months\n\n**Models:** Solar Pro\u002FMini\n\n### [NLP Cloud](https:\u002F\u002Fnlpcloud.com\u002Fhome)\n\n**Credits:** $15\n\n**Requirements:** Phone number verification\n\n**Models:** Various open models\n\n### [Alibaba Cloud (International) Model Studio](https:\u002F\u002Fbailian.console.alibabacloud.com\u002F)\n\n**Credits:** 1 million tokens\u002Fmodel\n\n**Models:** [Various open and proprietary Qwen models](https:\u002F\u002Fwww.alibabacloud.com\u002Fen\u002Fproduct\u002Fmodelstudio)\n\n### [Modal](https:\u002F\u002Fmodal.com)\n\n**Credits:** $5\u002Fmonth upon sign up, $30\u002Fmonth with payment method added\n\n**Models:** Any supported model - pay by compute time\n\n### [Inference.net](https:\u002F\u002Finference.net)\n\n**Credits:** $1, $25 on responding to email survey\n\n**Models:** Various open models\n\n### [Hyperbolic](https:\u002F\u002Fapp.hyperbolic.ai\u002F)\n\n**Credits:** $1\n\n**Models:**\n- DeepSeek V3 0324\n- Llama 3.3 70B Instruct\n- deepseek-ai\u002Fdeepseek-r1-0528\n- qwen\u002Fqwen3-coder-480b-a35b-instruct\n\n### [SambaNova Cloud](https:\u002F\u002Fcloud.sambanova.ai\u002F)\n\n**Credits:** $5 for 3 months\n\n**Models:**\n- Llama 3.3 70B\n- Llama-4-Maverick-17B-128E-Instruct\n- deepseek-ai\u002FDeepSeek-V3.1\n- deepseek-ai\u002FDeepSeek-V3.1\n- deepseek-ai\u002FDeepSeek-V3.2\n- google\u002Fgemma-3-12b-it\n- minimaxai\u002Fminimax-m2.5\n- openai\u002Fgpt-oss-120b\n\n### [Scaleway Generative APIs](https:\u002F\u002Fconsole.scaleway.com\u002Fgenerative-api\u002Fmodels)\n\n**Credits:** 1,000,000 free tokens\n\n**Models:**\n- BGE-Multilingual-Gemma2\n- Gemma 3 27B Instruct\n- Llama 3.3 70B Instruct\n- Pixtral 12B (2409)\n- Whisper Large v3\n- devstral-2-123b-instruct-2512\n- gpt-oss-120b\n- holo2-30b-a3b\n- mistral-small-3.2-24b-instruct-2506\n- qwen3-235b-a22b-instruct-2507\n- qwen3-coder-30b-a3b-instruct\n- qwen3-embedding-8b\n- qwen3.5-397b-a17b\n- voxtral-small-24b-2507\n\n\n","该项目提供了一份可通过API访问的免费大语言模型推理资源列表。它汇集了多种服务，包括OpenRouter、Google AI Studio等，这些服务为用户提供免费或试用额度来调用基于API的大语言模型。项目采用Python编写，并持续更新以确保信息准确。特别适合需要低成本或零成本测试与开发AI应用的开发者及研究者使用，但提醒用户不要滥用以免失去这些宝贵资源。",2,"2026-06-11 02:30:50","trending"]