import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "deepseek/deepseek-chat", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "deepseek/deepseek-chat", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"deepseek/deepseek-chat","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
DeepSeek Chat (V4.1 Flash) This page | Agentic workflows and structured output | |||
| Reasoning + agents | ||||
| Agentic workflows and structured output | ||||
| Vision + long-context reasoning |
DeepSeek Chat (V4.1 Flash) has a 1,048,576 tokens context window and can return up to 384,000 tokens.
DeepSeek Chat (V4.1 Flash) takes text as input and returns text.
Use deepseek/deepseek-chat as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
DeepSeek Chat (V4.1 Flash) became available on September 10, 2026.
DeepSeek Chat (V4.1 Flash) is priced at input $0.39 / 1M tokens, output $1.56 / 1M tokens, cached input $0.0078 / 1M tokens.
Yes, DeepSeek Chat (V4.1 Flash) can stream responses as they are generated.
DeepSeek Chat (V4.1 Flash) was built by DeepSeek.
No, it is a paid model billed per token, with separate input and output rates.
Send requests to https://api.aimlapi.com/v1/chat/completions using the model id deepseek/deepseek-chat.