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-------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Free LLM Collection 2 | 3 | 这是一个关于免费的大模型api的合集，并精选了一部分模型 4 | 5 | This is a collection of free LLM apis, and selected some models 6 | 7 | 我会尽可能更新维护这个项目（目前只有我一个人） 8 | 9 | I will keep maintaining and updating this project to the best of my ability 10 | 11 | 入选原则是：限制请求速率而不是token > 尽可能多的来源 > 尽可能新且好的模型 > 足够用的请求速率 12 | 13 | The selection criteria are: limit request rate over token count > more sources > newer and better models > sufficient rate limits 14 | 15 | 主要是有一定热度的文本模型 16 | 17 | Primarily text models that have gained some popularity 18 | 19 | 目前只接受提供了OpenAI格式的API 20 | 21 | At present, only accepted OpenAI-formated API 22 | 23 | 欢迎大家分享更多api 24 | 25 | Welcome to share more apis 26 | 27 | ## Img Table 28 | 29 | ![Taple](Taple.png) 30 | 31 | 这个表格是由Gemini 3 Pro生成的，由[Taple](https://t.ftz.is-a.dev/taple/index.html)渲染 32 | 33 | This table was generated by Gemini 2.5 Pro, Rendered by [Taple](https://ft.ftz.is-a.dev/taple/index.html) 34 | 35 | ## Markdown Table 36 | 37 | | 名称 / Name | API | 模型 / Models | 请求速率 / Rate Limits | 后台 / Dashboard | 注 / Tips | 38 | |:------------------:|:--------------------------------------------------------- |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------------------------------------------------- |:------------------------------------------------------------------------------------------------------------------- | 39 | | ChatAnywhere | `https://api.chatanywhere.tech` | `gpt-4o-mini` | Not Limited | `https://api.chatanywhere.org/` | | 40 | | 硅基流动 / SiliconFlow | `https://api.siliconflow.cn/v1` | `deepseek-ai/DeepSeek-R1-0528-Qwen3-8B` `Qwen/Qwen3-8B`  `THUDM/glm-4-9b-chat``THUDM/GLM-4-9B-0414``THUDM/GLM-Z1-9B-0414` `THUDM/GLM-4.1V-9B-Thinking` | 1000 RPM (each model) | `https://cloud.siliconflow.cn/bills` | | 41 | | OpenRouter | `https://openrouter.ai/api/v1` | `deepseek/deepseek-r1-0528:free` `tencent/hunyuan-a13b-instruct:free` `moonshotai/kimi-k2:free` `z-ai/glm-4.5-air:free` `qwen/qwen3-coder:free` `qwen/qwen3-235b-a22b:free` `openai/gpt-oss-20b:free` `x-ai/grok-4-fast:free` `meituan/longcat-flash-chat:free` `minimax/minimax-m2:free` `x-ai/grok-4.1-fast:free` `amazon/nova-2-lite-v1:free` `arcee-ai/trinity-mini:free` `allenai/olmo-3-32b-think:free` `kwaipilot/kat-coder-pro:free` | 20 RPM / 200 RPD (each model) | `https://openrouter.ai/activity` | | 42 | | 书生 / Intern AI | `https://chat.intern-ai.org.cn/api/v1` | `intern-latest` `intern-s1-mini` `internvl3-78b` | 10 RPM | `https://internlm.intern-ai.org.cn/api/callDetail` | 密钥有效期6个月 / The key is vailed for 6 months | 43 | | 共享算力 / suanli.com | `https://api.suanli.cn/v1` | `free:QwQ-32B` | Unknown | `https://api.suanli.cn/detail` | 算力由他人设备共享提供 / Shared computing by other people's devices | 44 | | Google Gemini | `https://generativelanguage.googleapis.com/v1beta/openai` | `gemma-3-27b` `gemma-3-12b` `gemma-3-4b` | 30 RPM / 1440 RPD | `https://aistudio.google.com/usage` | GFW | 45 | | ↑ | ↑ | `gemini-2.5-flash` `gemini-flash-latest` | 5 RPM / 20 RPD | ↑ | | 46 | | ↑ | ↑ | `gemini-2.5-flash-lite` `gemini-flash-lite-latest` | 10 RPM / 20 RPD | ↑ | | 47 | | Cohere | `https://api.cohere.ai/compatibility/v1` | `command-a-03-2025` `command-a-vision-07-2025` | 20 RPM | `https://dashboard.cohere.com/billing` | 绑定支付方式可以使用速率限制跟宽松的Production Key / Binding payment methods can use rate limiting and relaxed Production Key
GFW | 48 | | Bigmodel | `https://open.bigmodel.cn/api/paas/v4/` | `GLM-4-Flash-250414` `GLM-Z1-Flash` `GLM-4.5-Flash` `GLM-4.1V-Thinking-Flash` | 只有并发数限制（均为30） / Only the number of concurrent transactions is limited (both 30). | ? | | 49 | | Github Models | `https://models.github.ai/inference` | `openai/gpt-4.1-mini` `openai/gpt-4.1` `openai/gpt-4o` | 15 RPM / 150 RPD | ? | 如果使用Azure API，可以使用更多模型 / If used Azure API, more models available | 50 | | 哈基米半公益站 | `https://api.gemai.cc/v1` | `gpt-5.1` `gpt-5.1-high` `[官逆]gemini-2.5-pro` `[满血A]gemini-3-pro-preview` `[满血A]gemini-3-pro-preview-thinking` `[满血B]gemini-2.5-flash` `[满血C]gemini-2.5-flash-thinking` `[满血C]gemini-2.5-pro-thinking` `[特价C]128k-claude-sonnet-4-5-20250929` `deepseek-v3.2-exp` `deepseek-v3.2-exp-thinking` `grok-4` `grok-4.1` | Unknown | `https://api.gemai.cc/console/log` | 赠送¥100额度 / Gift ¥100 Credit | 51 | | 熊猫API | `https://api520.pro/v1` | `熊猫-按量-特供顶级-官方正向满血-claude-haiku-4.5` `熊猫-按量-特供顶级-官方正向满血-claude-opus-4` `熊猫-按量-特供顶级-官方正向满血-claude-opus-4.1` `熊猫-按量-特供顶级-官方正向满血-claude-opus-4.1-thinking` `熊猫-按量-特供顶级-官方正向满血-claude-opus-4.5` `熊猫-按量-特供顶级-官方正向满血-claude-opus-4.5-thinking` `熊猫-按量-特供顶级-官方正向满血-claude-sonnet-4.5` `熊猫-按量-特供顶级-官方正向满血-claude-sonnet-4.5-thinking` `熊猫-A-4-deepseek-v3.2-满血` `熊猫-A-5-deepseek-v3.1-terminus-thinking-满血` `熊猫-A-5-deepseek-v3.2-thinking-满血` `熊猫-A-1-gemini-2.5-flash-lite-0925` `熊猫-A-2-gemini-2.5-flash-0925` `熊猫特供-按量-SS-gemini-2.5-pro` `熊猫特供-按量-SS-gemini-2.5-pro-thinking` `熊猫特供-按量-SSS-gemini-3-pro-preview` `熊猫-A-5-kimi-k2-thinking-满血` `熊猫-A-3-速度极快-gpt-oss-120b` `熊猫-A-5-Grok-4-fast-200w上下文已知最大` `熊猫-A-5-grok-4.1` `熊猫-A-4-豆包-doubao-seed-1.6` `熊猫-A-5-豆包-doubao-seed-1.6-thinking` `熊猫-A-5-智谱glm-4.6-满血` `熊猫-A-3-qwen3-max-满血` `熊猫-A-4-minimax-m2` | Unknown | `https://api520.pro/console/log` | 赠送¥100额度 / Gift ¥100 Credit | 52 | 53 | ## asak 54 | 55 | 这是我的另一个项目，建议配套使用 56 | 57 | My another project, recommended for use together 58 | 59 | 示例配置文件/Sample Configuration File : [asak.json](asak.json) 60 | 61 | asak: [for-the-zero/asak](https://github.com/for-the-zero/asak) 62 | 63 | ## 其它 / Other 64 | 65 | ### 来源 / Source 66 | 67 | - 自行收集 / Self-collected 68 | 69 | - 投稿（B站等） / Contributed by others 70 | 71 | ### Star History 72 | 73 | [![Star History Chart](https://api.star-history.com/svg?repos=for-the-zero/Free-LLM-Collection&type=Date)](https://www.star-history.com/#for-the-zero/Free-LLM-Collection&Date) 74 | 75 | ### 排行榜 / Leaderboards 76 | 77 | - [llm_benchmark](https://llm2014.github.io/llm_benchmark/)：个人评测榜单，可信度高，而且收录更全 / A personal review list, it is highly credible, and it is more comprehensive 78 | - [Artifical Analysis](https://artificialanalysis.ai/leaderboards/models) 79 | - [LMArena](https://lmarena.ai/leaderboard) -------------------------------------------------------------------------------- /asak.json: -------------------------------------------------------------------------------- 1 | { 2 | "providers": { 3 | "caw": { 4 | "base_url": "https://api.chatanywhere.tech", 5 | "key": "sk-NeverGonnaGiveYouUp" 6 | }, 7 | "sf": { 8 | "base_url": "https://api.siliconflow.cn/v1", 9 | "key": "sk-NeverGonnaLetYouDown" 10 | }, 11 | "or": { 12 | "base_url": "https://openrouter.ai/api/v1", 13 | "key": "sk-NeverGonnaRunAroundAndDesertYou" 14 | }, 15 | "ilm": { 16 | "base_url": "https://chat.intern-ai.org.cn/api/v1", 17 | "key": "sk-NeverGonnaMakeYouCry" 18 | }, 19 | "sl": { 20 | "base_url": "https://api.suanli.cn/v1", 21 | "key": "sk-NeverGonnaSayGoodbye" 22 | }, 23 | "g": { 24 | "base_url": "https://generativelanguage.googleapis.com/v1beta/openai", 25 | "key": "sk-NeverGonnaTellALieAndHurtYou" 26 | }, 27 | "co": { 28 | "base_url": "https://api.cohere.ai/compatibility/v1", 29 | "key": "" 30 | }, 31 | "bm": { 32 | "base_url": "https://open.bigmodel.cn/api/paas/v4/", 33 | "key": "" 34 | }, 35 | "gm": { 36 | "base_url": "https://models.github.ai/inference", 37 | "key": "" 38 | }, 39 | "hjm": { 40 | "base_url": "https://api.gemai.cc/v1", 41 | "key": "" 42 | }, 43 | "xm": { 44 | "base_url": "https://api520.pro/v1", 45 | "key": "" 46 | } 47 | }, 48 | "models": [ 49 | { 50 | "provider": "hjm", 51 | "model": "[满血A]gemini-3-pro-preview-thinking", 52 | "tags": [ 53 | "pro", 54 | "coding", 55 | "thinking" 56 | ], 57 | "rate_limit": { 58 | "rpm": 10, 59 | "rpd": 100 60 | } 61 | }, 62 | { 63 | "provider": "xm", 64 | "model": "熊猫特供-按量-SSS-gemini-3-pro-preview", 65 | "tags": [ 66 | "pro", 67 | "coding" 68 | ], 69 | "rate_limit": { 70 | "rpm": 10, 71 | "rpd": 100 72 | } 73 | }, 74 | { 75 | "provider": "hjm", 76 | "model": "[满血A]gemini-3-pro-preview", 77 | "tags": [ 78 | "pro", 79 | "coding", 80 | "thinking" 81 | ], 82 | "rate_limit": { 83 | "rpm": 10, 84 | "rpd": 100 85 | } 86 | }, 87 | { 88 | "provider": "xm", 89 | "model": "熊猫-按量-特供顶级-官方正向满血-claude-opus-4.5-thinking", 90 | "tags": [ 91 | "pro", 92 | "coding", 93 | "thinking" 94 | ], 95 | "rate_limit": { 96 | "rpm": 10, 97 | "rpd": 100 98 | } 99 | }, 100 | { 101 | "provider": "xm", 102 | "model": "熊猫-按量-特供顶级-官方正向满血-claude-opus-4.5", 103 | "tags": [ 104 | "pro", 105 | "coding" 106 | ], 107 | "rate_limit": { 108 | "rpm": 10, 109 | "rpd": 100 110 | } 111 | }, 112 | { 113 | "provider": "xm", 114 | "model": "熊猫-按量-特供顶级-官方正向满血-claude-sonnet-4.5-thinking", 115 | "tags": [ 116 | "pro", 117 | "coding", 118 | "thinking" 119 | ], 120 | "rate_limit": { 121 | "rpm": 10, 122 | "rpd": 100 123 | } 124 | }, 125 | { 126 | "provider": "xm", 127 | "model": "熊猫-按量-特供顶级-官方正向满血-claude-sonnet-4.5", 128 | "tags": [ 129 | "pro", 130 | "coding" 131 | ], 132 | "rate_limit": { 133 | "rpm": 10, 134 | "rpd": 100 135 | } 136 | }, 137 | { 138 | "provider": "hjm", 139 | "model": "[特价C]128k-claude-sonnet-4-5-20250929", 140 | "tags": [ 141 | "pro", 142 | "coding" 143 | ], 144 | "rate_limit": { 145 | "rpm": 10, 146 | "rpd": 100 147 | } 148 | }, 149 | { 150 | "provider": "hjm", 151 | "model": "gpt-5.1-high", 152 | "tags": [ 153 | "pro", 154 | "coding" 155 | ], 156 | 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