256K
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
OpenRouter对话
免费模型17
dots-studio
Dots Studio: Dots3-Note Preview (free)
Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...
262K
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
262K
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
66K
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
OpenRouter对话
256K
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
262K
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
OpenRouter对话
1M
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
OpenRouter对话
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...
使用方式
- 1
连接服务商
粘贴 OpenRouter、Groq 或 Cerebras 的密钥。密钥在服务器上加密保存，之后不会再显示。
- 2
和已连接的模型对话
每条消息都可以选模型，也可以交给 Auto 自动选一个可用的。
- 3
在代码中调用
用你自己的 API 密钥，把任意 OpenAI SDK 指向 Free Model。
app.py
from openai import OpenAI
client = OpenAI(
base_url="https://staging.freemodel.io/api/v1",
api_key="sk_…",
)
reply = client.chat.completions.create(
model="auto",
messages=[{"role": "user", "content": "Hello"}],
)常见问题
真的免费吗？
OpenRouter 上以 :free 结尾的模型定价为零，每日额度由 OpenRouter 设定。Groq 和 Cerebras 使用你自己账户的额度；付费账户可能产生费用，免费额度也可能调整。
为什么要用自己的密钥？
免费额度按账户计算。用自己的密钥，额度归你自己，也可以随时在服务商那里撤销。
对话会被保存吗？
不会。对话只保存在当前打开的页面中，关闭页面、新建对话或退出登录后即消失。请求记录保存模型、token、状态和耗时等用量元数据，不保存对话正文。
可以发图片或文件吗？
暂时不行。部分模型在上游支持图片，但这里的对话和 API 目前只支持文本。
有什么可以帮你？
开始对话