Speed
Output tokens / second
DeepSeek V4.1 Flash 1017 overview
DeepSeek V4.1 Flash 1017 by DeepSeek
DeepSeek V4.1 Flash 1017 is DeepSeek's newest Flash build, a 1M-context chat and reasoning model with stronger benchmarks, faster task completion and shorter outputs than V4.1 Flash.
DeepSeek V4.1 Flash 1017 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 1017?
DeepSeek V4.1 Flash 1017 is the newest build in DeepSeek's Flash line, released on October 17, 2026. DeepSeek reports stronger benchmark performance, faster task completion and shorter outputs than the previous V4.1 Flash, a Pareto improvement in performance and cost. Like V4.1 Flash, it is a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding.
Compared with V4.1 Flash, the 1017 build is optimized for DeepSeek Harness (v0.2.1-rc.1 or later), Tencent CodeBuddy, WorkBuddy and other coding agents.
Technical Specifications
- Context window: 1,048,576 tokens
- Tool calling and structured outputs
Where DeepSeek V4.1 Flash 1017 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.
Shorter outputs and faster task completion keep long agent runs cheaper.
Use cases
DeepSeek V4.1 Flash 1017 is documented as suited to multimodal image-and-text tasks, with native support for processing images and text. It is optimized for coding agents and tools such as DeepSeek Harness, Tencent CodeBuddy and WorkBuddy, and is a fit for agentic or tool-use workflows where faster task completion and shorter outputs keep cost down.
Capabilities
- Reasoning
- Streaming
- Structured outputs
- Function calling
- Vision
DeepSeek V4.1 Flash 1017 benchmarks by 
Artificial Analysis
See how DeepSeek V4.1 Flash 1017 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 1017 API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.39 | 1M tokens |
| Output | $1.56 | 1M tokens |
| Cached input | $0.0078 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
DeepSeek V4.1 Flash 1017 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 1017 | $0.39 | $1.56 |
| DeepSeek Chat (V4.1 Flash) | $0.3 | $1.2 |
| DeepSeek V4.1 Flash | $0.3 | $1.2 |
| DeepSeek V4 Flash Vision Exp | $0.44 | $1.32 |
| DeepSeek V4 Pro 0813 | $1.84 | $3.68 |
How to use the DeepSeek V4.1 Flash 1017 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 1017
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DeepSeek V4.1 Flash 1017 FAQ
How much does DeepSeek V4.1 Flash 1017 cost?
DeepSeek V4.1 Flash 1017 costs $0.39 input and $1.56 output per 1M tokens on AI/ML API, billed as you go with no subscription.
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 1017 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.
Does DeepSeek V4.1 Flash 1017 support tool calling?
Yes, it supports tool calling and JSON mode (json_object); json_schema structured outputs are not supported.
How do I call DeepSeek V4.1 Flash 1017 on AI/ML API?
Send a request to the chat completions endpoint with the model id deepseek/deepseek-v4.1-flash-1017. The request shape is the same as for any other chat model on AI/ML API.
How does V4.1 Flash 1017 compare with V4.1 Flash?
DeepSeek reports that V4.1 Flash 1017 brings stronger benchmark performance, faster task completion and shorter outputs than V4.1 Flash, a Pareto improvement in performance and cost. Both models accept image input and offer a 1M-token context window.
What is DeepSeek V4.1 Flash 1017 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.
What is DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is the newest build in DeepSeek's Flash line, released on October 17, 2026: a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding. DeepSeek reports stronger benchmark performance, faster task completion and shorter outputs than the previous V4.1 Flash.
What is the DeepSeek V4.1 Flash 1017 model ID?
Use deepseek/deepseek-v4.1-flash as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.