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全模型
本站集成了诸如OpenAl、Google、Anthropic、Midjourney、Suno和国内大部分服务商等在内的主流的AI大模型
无障碍
使用国外大模型不用绕开重重限制，SmallAI的API的接口可以直连任何模型。
一站式接入所有模型，不需要注册各种账号来使用不同服务商的模型。
零门槛
本站为各个群体针对性提供了不同的教程，完全零基础的也不想做任何配置的人群本站部署了较为完善的镜像站，拎包入住登录即可使用。为感兴趣但是没有使用基础的人群提供了喂奶级的教程及相关客户端的推荐可教学。为开发者也提供了详细的API文档。
低成本
无封号风险，如ChatGPT、Claude、MIdjourney等国外服务商对国内IP逮一个封一个，使得使用官方服务成本很高，在SmallAI无需担忧这些问题。
除此之外SmallAI API的价格也远低于官方价格(国外模型)，如ChatGPT是官方4折左右、Claude是官方5折左右等。
📑 模型计价标准表
在与文本交互的过程中，对 AI 的内容输入（Input）和 AI 的响应输出（Output）都将计入计费。
关于详细计费查询可在 SmallAI查询平台 内查询
不同模型拥有不同的功能和定价，并且在与 AI 模型交互过程中，输入信息和获取输出信息的计费方式也不同。
以下表格以 1M Tokens 为计价单位，列出 SmallAI 中对应的费用
模型倍率属于系统需要计算费用的方案，无需理会，只需查看计费的价格即可（计费为美元）
在浏览器中打开标准计费表格
🧐查看Key消耗用量
在 令牌查询 页面，可以查看当前月份的用量明细。如果您的用量超过了原本的额度，可能会造成查询失败的情况。遇到此类情况请联系客服查询。
https://token.ai99.asia
🪐大模型排名（仅供参考）
该排名仅供参考，本站部分模型不在表单上，另外部分排名表里的模型本站也没有，如果用来参考可以用相关模型横向对比一下。
排名更新时间：2024年6月25日
模型名称 | 参数量 | MMLU | CEval | AGIEval | GSM8K | MATH | BBH | MT Bench |
|---|
GPT-4o | | 88.7 | / | / | 90.5 | 76.6 | / | / |
Claude 3.5 Sonnet | | 88.7 | / | / | 96.4 | 71.1 | / | / |
Claude3-Opus | 0.0 | 86.8 | / | / | 95.0 | 60.1 | / | 9.43 |
GPT-4 | 1750.0 | 86.4 | 68.7 | / | 87.1 | 42.5 | / | 9.32 |
Llama3-400B-Instruct-InTraining | 4000.0 | 86.1 | / | / | 94.1 | 57.8 | / | / |
Llama3-400B-InTraining | 4000.0 | 84.8 | / | / | / | / | / | / |
Qwen2-72B | 727.0 | 84.2 | 91.0 | / | 89.5 | 51.1 | 82.4 | / |
Gemini-ultra | 0.0 | 83.7 | / | / | 88.9 | 53.2 | / | / |
Qwen2-72B-Instruct | 72.0 | 82.3 | 83.8 | / | 91.1 | 59.7 | / | 9.12 |
Llama3-70B-Instruct | 700.0 | 82.0 | / | / | 93.0 | 50.4 | / | / |
Gemini 1.5 Pro | 0.0 | 81.9 | / | / | 91.7 | 58.5 | / | / |
GLM4 | 0.0 | 81.5 | / | / | 87.6 | 47.9 | 82.3 | / |
Grok-1.5 | | 81.3 | / | / | 90.0 | 50.6 | / | / |
Mistral Large | 0.0 | 81.2 | / | / | 81.0 | 45.0 | / | 8.66 |
YAYI2-30B | 300.0 | 80.5 | 80.9 | 62.0 | 71.2 | / | / | / |
Qwen1.5-110B | 1100.0 | 80.4 | / | / | 85.4 | 49.6 | 74.8 | 8.88 |
Llama3-70B | 700.0 | 79.5 | / | / | / | / | / | / |
Gemini-pro | 1000.0 | 79.13 | / | / | 86.5 | / | / | / |
Claude3-Sonnet | 0.0 | 79.0 | / | / | 92.3 | 43.1 | / | 9.18 |
DeepSeek-V2-236B | 2360.0 | 78.5 | 81.7 | / | 79.2 | 43.6 | 78.9 | / |
PaLM 2 | 3400.0 | 78.3 | / | / | 80.7 | / | / | / |
Phi-3-medium 14B-preview | 140.0 | 78.2 | / | 48.4 | 90.3 | / | / | 8.91 |
Mixtral-8Ã22B-MoE | 1410.0 | 77.75 | / | / | 78.6 | 41.8 | / | / |
Qwen1.5-72B-Chat | 720.0 | 77.5 | 84.1 | / | 79.5 | 34.1 | 65.5 | 8.67 |
Qwen-72B | 720.0 | 77.4 | 83.3 | 62.5 | 78.9 | / | / | / |
Yi-1.5-34B | 340.0 | 77.1 | / | 71.1 | 82.7 | 41.0 | 76.4 | / |
Qwen2-57B-A14B | 570.0 | 76.5 | 87.7 | / | 80.7 | 43.0 | 67.0 | / |
Yi-34B | 340.0 | 76.3 | 81.4 | / | / | / | / | / |
Yi-34B-200K | 340.0 | 76.1 | 81.9 | / | / | / | / | / |
Phi-3-small 7B | 70.0 | 75.3 | / | 45.0 | 88.9 | / | / | 8.7 |
Claude3-Haiku | 0.0 | 75.2 | / | / | 88.9 | 38.9 | / | / |
Gemma2-27B | 270.0 | 75.0 | / | / | 75.0 | / | / | / |
GLM-4-9B | 90.0 | 74.7 | / | / | 84.0 | 30.4 | / | / |
DBRX Instruct | 1320.0 | 73.7 | / | / | 72.8 | / | / | 8.39 |
Qwen1.5-32B | 320.0 | 73.4 | 83.5 | / | 77.4 | 36.1 | / | 8.3 |
Grok-1 | 3140.0 | 73.0 | / | / | 62.9 | / | / | / |
GLM-4-9B-Chat | 90.0 | 72.4 | 75.6 | / | 79.6 | 50.6 | / | 8.35 |
Apollo-7B | 70.0 | 71.86 | / | / | / | / | / | / |
DeepSeek-V2-236B-Chat | 2360.0 | 71.1 | 65.2 | / | 84.4 | 32.6 | 71.7 | / |
XVERSE-65B | 650.0 | 70.8 | / | 61.8 | 60.3 | / | / | / |
Mixtral-8Ã7B-MoE | 450.0 | 70.6 | / | / | 74.4 | 28.4 | / | 8.3 |
Qwen2-7B | 70.0 | 70.3 | 83.2 | / | 79.9 | 44.2 | 62.6 | / |
GPT-3.5 | 1750.0 | 70.0 | 54.4 | / | 57.1 | / | / | 8.39 |
Yi-1.5-9B | 90.0 | 69.5 | / | 62.7 | 73.7 | 32.6 | 72.4 | / |
PaLM | 5400.0 | 69.3 | / | / | 56.5 | / | / | / |
LLaMA2 70B | 700.0 | 68.9 | / | 54.2 | 56.8 | / | / | / |
Phi-3-mini 3.8B | 38.0 | 68.8 | / | 37.5 | 82.5 | / | / | 8.38 |
Llama3-8B-Instruct | 80.0 | 68.4 | / | / | 79.6 | 30.0 | / | / |
Yi-9B | 90.0 | 68.4 | / | / | 52.3 | 15.9 | / | / |
Aquila2-34B | 340.0 | 67.79 | 63.07 | / | 58.4 | / | / | / |
Jamba-v0.1 | 520.0 | 67.4 | / | / | 59.9 | / | 45.4 | / |
Llama3-8B | 80.0 | 66.6 | / | / | / | / | / | / |
Qwen-14B | 140.0 | 66.3 | 72.1 | / | 61.3 | / | / | / |
Grok-0 | 330.0 | 65.7 | / | / | 56.8 | / | / | / |
Gemma 7B | 70.0 | 64.3 | / | 41.7 | 46.4 | 24.3 | 55.1 | / |
Yi-6B-200K | 60.0 | 64.0 | 73.5 | / | / | / | / | / |
Starling-7B-LM-Beta | 70.0 | 63.9 | / | / | / | / | / | 8.09 |
LLaMA 65B | 650.0 | 63.4 | 38.8 | 47.6 | 50.9 | / | / | / |
Yi-6B | 60.0 | 63.2 | 72.0 | / | / | / | / | / |
LLaMA2 34B | 340.0 | 62.6 | / | 43.4 | 42.2 | / | / | / |
Qwen1.5-MoE-A2.7B | 143.0 | 62.5 | / | / | 61.5 | / | / | 7.17 |
StableLM2-12B | 120.0 | 62.09 | / | / | 56.03 | / | / | 8.15 |
ChatGLM3-6B-Base | 60.0 | 61.4 | 69.0 | 53.7 | 72.3 | / | / | / |
StableLM2-12B-Chat | 120.0 | 61.14 | / | / | 57.7 | / | / | 8.15 |
XVERSE-13B-Chat | 130.0 | 60.2 | 53.1 | 48.3 | / | / | / | / |
XVERSE-MoE-A4.2B | 258.0 | 60.2 | 60.5 | 48.0 | 51.2 | / | / | / |
Mistral 7B | 73.0 | 60.1 | / | 43.0 | 52.1 | / | / | / |
DeciLM-7B | 70.4 | 59.76 | / | / | 47.38 | / | / | / |
Baichuan2-13B-Base | 130.0 | 59.17 | 58.1 | 48.17 | 52.77 | / | / | / |
MiniCPM-MoE-8x2B | 136.0 | 58.9 | 58.11 | / | 61.5 | 10.52 | 39.22 | / |
LLaMA 33B | 330.0 | 57.8 | / | 41.7 | 35.6 | / | / | / |
Phi-2 | 27.0 | 56.7 | / | / | 61.1 | / | / | / |
Qwen-7B | 70.0 | 56.7 | 59.6 | / | 51.6 | / | / | / |
Qwen2-1.5B | 15.0 | 56.5 | 70.6 | / | 58.5 | 21.7 | 37.2 | / |
ChatGLM2 12B | 120.0 | 56.18 | 61.6 | / | 40.94 | / | / | / |
XVERSE-13B | 130.0 | 55.1 | 54.7 | 41.4 | / | / | / | / |
LLaMA2 13B | 130.0 | 54.84 | / | 39.1 | 28.7 | / | / | / |
Baichuan2-7B-Base | 70.0 | 54.16 | 54.0 | 42.73 | 24.49 | / | / | / |
GPT-3 | 1750.0 | 53.9 | / | / | / | / | / | / |
MiniCPM-2B-DPO | 24.0 | 53.46 | 51.13 | / | 53.83 | 10.24 | 36.87 | 7.25 |
Baichuan 13B - Chat | 130.0 | 52.1 | 51.5 | / | 26.6 | / | / | / |
Baichuan 13B - Base | 130.0 | 51.62 | 52.4 | / | 26.6 | / | / | / |
InternLM 7B | 70.0 | 51.0 | 53.4 | 37.6 | 31.2 | / | / | / |
InternLM Chat 7B 8K | 70.0 | 50.8 | 53.2 | 42.5 | 31.2 | / | / | / |
ChatGLM2-6B | 62.0 | 47.86 | 51.7 | / | 32.37 | / | / | / |
LLaMA 13B | 130.0 | 46.94 | / | 33.9 | 17.8 | / | / | / |
Stable LM Zephyr 3B | 30.0 | 45.9 | 30.34 | / | 52.54 | 12.2 | 37.86 | 6.64 |
Qwen2-0.5B | 4.0 | 45.4 | 58.2 | / | 58.5 | 10.7 | 28.4 | / |
Qwen-1.8B | 18.0 | 45.3 | / | / | 32.3 | / | / | / |
LLaMA2 7B | 70.0 | 45.3 | / | 29.3 | 14.6 | / | / | / |
GLM-130B | 1300.0 | 44.8 | 44.0 | / | / | / | / | / |
Ziya-LLaMA-13B-Pretrain-v1 | 130.0 | 43.9 | 30.2 | 27.2 | / | / | / | / |
OpenLLaMA 13B | 130.0 | 42.4 | 24.7 | 24.0 | / | / | / | / |
Gemma 2B | 20.0 | 42.3 | / | 24.2 | 17.7 | 11.8 | 35.2 | / |
Gemma 2B - It | 20.0 | 42.3 | / | 24.2 | 17.7 | 11.8 | 35.2 | / |
Baichuan 7B | 70.0 | 42.3 | 42.8 | 34.44 | 9.7 | / | / | / |
Stable LM 2 - 1.6B | 16.0 | 38.93 | / | / | 17.82 | / | / | / |
RecurrentGemma-2B | 27.0 | 38.4 | / | 23.8 | 13.4 | 11.8 | / | / |
Phi-1.5 | 13.0 | 37.6 | / | / | 40.2 | / | / | / |
DeepSeek Coder-6.7B Instruct | 67.0 | 37.2 | / | / | 62.8 | 28.6 | 46.9 | / |
ChatGLM-6B | 62.0 | 36.9 | 38.9 | / | 4.82 | / | / | / |
LLaMA 7B | 70.0 | 35.1 | 27.1 | 23.9 | 11.0 | / | / | / |
MOSS | 160.0 | 27.4 | 33.13 | 26.8 | / | / | / | / |
OPT | 1750.0 | 25.2 | 25.0 | 24.2 | / | / | / | / |
Pythia | 120.0 | 25.1 | 26.2 | 25.3 | / | / | / | / |
TinyLlama | 11.0 | 24.3 | 25.02 | / | 2.27 | / | / | / |
Phi-1 | 13.0 | / | / | / | / | / | / | / |
CodeGemma-2B | 20.0 | / | / | / | 41.2 | 20.9 | / | / |
CodeGemma-7B | 70.0 | / | / | / | 44.2 | 19.9 | / | / |
CodeGemma-7B-IT | 70.0 | / | / | / | 41.2 | 20.9 | / | / |
WizardLM-2-70B | 70.0 | / | / | / | / | / | / | 8.92 |
WizardLM-2-7B | 70.0 | / | / | / | / | / | / | 8.28 |
Aquila-7B | 70.0 | / | 25.5 | 25.58 | / | / | / | / |
CPM-Bee | 100.0 | / | 54.1 | / | / | / | / | / |
WizardLM-2 8x22B | 1760.0 | / | / | / | / | / | / | 9.12 |
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