DeepSeek
New
Open weights
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is a multimodal model for coding, reasoning, tool use, and long-context analysis. It accepts text and image inputs and generates text, with thinking and non-thinking modes, tool calling, and structured outputs. It supports a context window of up to 1,048,576 tokens across input and output.
deepseek-ai/DeepSeek-V4.1-Flash-1017
Context window
1M
1,048,576 tokens across input and output
Intelligence
45
Artificial Analysis Intelligence Index v4.3
Input
Text + Image
Text output on Doubleword
Released
Oct 2026
DeepSeek · Generation
Coding
Thinking & non-thinking
Tool calling
Structured outputs
Vision
API pricing
USD per 1M tokens.
| Tier | Input / 1M | Output / 1M |
|---|---|---|
| Batch (24 hours) | $0.08 | $0.30 |
| Async | $0.12 | $0.48 |
| Realtime | $0.15 | $0.60 |
Run with the OpenAI SDK
Async inference through the OpenAI-compatible API.
Python
from openai import OpenAI
client = OpenAI(
api_key="your-api-key-here",
base_url="https://api.doubleword.ai/v1",
)
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V4.1-Flash-1017",
messages=[{"role": "user", "content": "Analyze this repository and propose a refactor plan."}],
extra_body={"service_tier": "flex"},
)
print(response.choices[0].message.content)