DeepSeek Chat is the legacy model name deepseek-chat, which was documented as routing to DeepSeek V4 Flash in non-thinking mode.
DeepSeek’s official API notes that the latest V4.1 Flash model is available with native multimodal support, and the model name to use is deepseek-flash.
| Developer | DeepSeek |
|---|---|
| Model ID | deepseek/deepseek-chat |
| Release Date | September 10, 2026 |
| Context Window | 1,048,576 tokens (~1.0M) |
| Max Output Tokens | 384,000 tokens |
| Modalities | Text → Text |
| Capabilities | file input, parallel tool calls, streaming, structured (JSON schema) output, tool/function calling |
Legacy alias
deepseek-chat was described as the non-thinking route for DeepSeek V4 Flash.
Current API name
DeepSeek’s API documentation says to set the model to deepseek-flash for the latest V4.1 Flash model.
Native multimodal support
DeepSeek says V4.1 Flash is available with native multimodal support.
General capability focus
A model listing describes V4.1 Flash as suited for efficient general, reasoning, coding, and agent workloads, with native image input.
Model family status
One source notes that compatibility aliases are moving and are not stable model-family names.
General chat
The model is presented as a chat assistant route for non-thinking responses.
Image input workflows
DeepSeek’s V4.1 Flash documentation says the model has native multimodal support, and one listing specifically mentions native image input.
Coding and reasoning
A model directory describes it as suitable for reasoning, coding, and agent workloads.
DeepSeek-V4.1-Flash
DeepSeek’s official API documentation names deepseek-flash as the current V4.1 Flash model.
DeepSeek-V4-Flash
A migration guide states deepseek-chat mapped to DeepSeek-V4-Flash in non-thinking mode before retirement of the legacy name.
Sources: https://seek-chat.com/models/ · https://deep-seek.com/chat · https://deepseek.chat/chat
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
DeepSeek Chat (V4.1 Flash) is documented as suitable for multimodal use cases, because it natively processes images and text and includes native multimodal support.
It is also documented for chat and conversational workflows, since the model is described as returning responses to a list of conversation messages and supporting longer chat-like conversations.
Another documented use case is image-text tasks such as image-to-text-to-text pipelines, which are explicitly shown in the model report and aligned with its native image-and-text processing.
It is further described as well suited to agentic and tool-calling workflows, with documentation noting support for tools and examples naming agent frameworks and tool-based pipelines.
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.
