Speed
Output tokens / second
DeepSeek V4.1 Flash overview
DeepSeek V4.1 Flash by DeepSeek
DeepSeek V4.1 Flash is the current DeepSeek Flash build, a 1M-context chat and reasoning model with thinking mode enabled by default and image understanding.
DeepSeek V4.1 Flash specs
- Model ID
deepseek/deepseek-v4.1-flash- Developer
- DeepSeek
- Context window
- 1,048,576 tokens
- Max output
- 384,000 tokens
- Input
- Image, Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the current build in DeepSeek's Flash line: a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding. DeepSeek reports that it surpasses V4 Pro on performance, cost and speed.
Compared with earlier Flash builds, the notable change is multimodal input, the model reads images alongside text rather than text alone.
Technical Specifications
- Context window: 1,048,576 tokens
- Tool calling and structured outputs
Where DeepSeek V4.1 Flash Fits
Whole-repository and long-document work
A 1M-token window holds an entire codebase or a stack of filings in a single prompt, and a 384K output ceiling leaves room for long answers.
Multimodal analysis
Image understanding lets screenshots, diagrams and scanned pages go straight into the same request as the text.
Agentic workflows
Tool calling and structured outputs suit agent loops that plan, call tools and iterate.
The model also answers to the shorter alias deepseek-flash.
Use cases
DeepSeek V4.1 Flash is documented as suited to multimodal image-and-text tasks, with native support for processing images and text. It is also positioned for code-related work through official partner support with CodeBuddy and OpenCode. The model is further presented as a fit for agentic or tool-use workflows in the provider ecosystem.
Capabilities
- Reasoning
- Streaming
- Structured outputs
- Function calling
- Vision
DeepSeek V4.1 Flash benchmarks by 
Artificial Analysis
See how DeepSeek V4.1 Flash compares in generation speed and latency. Data retrieved Nov 3, 2026.
Benchmark results
Compare 5 models available on AI/ML API across 4 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
Terminal-Bench 4.0
Agentic tasks completed in a command-line environment.
AA-LCR
Reasoning across long documents of about 100k tokens.
SciCode
Python coding tasks drawn from scientific research.
DeepSeek V4.1 Flash API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.3 | 1M tokens |
| Output | $1.2 | 1M tokens |
| Cached input | $0.006 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
DeepSeek V4.1 Flash vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 DeepSeek V4.1 Flash | $0.3 | $1.2 |
| DeepSeek Chat (V4.1 Flash) | $0.3 | $1.2 |
| DeepSeek V4 Flash Vision Exp | $0.44 | $1.32 |
| DeepSeek V4.1 Flash 1017 | $0.39 | $1.56 |
| DeepSeek V4 Pro 0813 | $1.84 | $3.68 |
How to use the DeepSeek V4.1 Flash API
View docs
Build with your agent
Give your agent the model details, code and documentation.
Paste it into your coding agent to build the integration.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "deepseek/deepseek-v4.1-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "deepseek/deepseek-v4.1-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = 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-v4.1-flash",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to DeepSeek V4.1 Flash
Related articles
DeepSeek V4.1 Flash FAQ
How much does DeepSeek V4.1 Flash cost?
DeepSeek V4.1 Flash costs $0.3 input and $1.2 output per 1M tokens on AI/ML API, billed as you go with no subscription.
What is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the current build in DeepSeek's Flash line: a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding.
How does V4.1 Flash compare with V4 Pro?
DeepSeek reports that V4.1 Flash surpasses V4 Pro on performance, cost and speed. It also accepts image input, which V4 Pro does not.
Does DeepSeek V4.1 Flash accept images?
Yes. It takes both image and text input and returns text, so screenshots, diagrams and scanned pages can go into the same request as your prompt.
Is thinking mode on by default?
Yes. Thinking mode is enabled by default, so the model reasons through a problem before answering unless you tell it otherwise.
How large is the context window?
1,048,576 tokens, with up to 384,000 tokens of output.
Does DeepSeek V4.1 Flash support tool calling?
Yes, it supports function calling and structured outputs, alongside streaming responses.
What is DeepSeek V4.1 Flash best suited for?
Work that needs a very large window: whole-repository code analysis, long-document review, and agent loops that accumulate a lot of context. Image input widens that to mixed text-and-visual material.
Is there a shorter model name I can use?
Yes. The model also answers to the alias deepseek-flash.
How do I call DeepSeek V4.1 Flash on AI/ML API?
Send a request to the chat completions endpoint with the model id deepseek/deepseek-v4.1-flash. The request shape is the same as for any other chat model on AI/ML API.