DeepSeek V4.1 Flash

DeepSeek’s Flash model, the 17 October release: reasoning, coding and agentic tasks, with a context of a million tokens.

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DeepSeek V4.1 Flash DeepSeek

Context: 1M; tokens
Inputs: Text and images

Best for

Coding
Agentic tasks
Reasoning

What it does best.

Coding: Write, change and review code, with whole repositories in context.
Agentic tasks: Input-heavy agent work: long tool outputs, files and histories in one request.
Reasoning: Step-by-step answers for problems that need them.

It mines while it answers.

On the Peryn API, every request mines as much $PEARL as it can while it is served: inside the AI work, and in the gaps between requests.

How Peryn works

The model.

Made by: DeepSeek
Context: 1M tokens
Size: 552B parameters, mixture of experts
Inputs: Text and images
Licence: MIT
Official name: DeepSeek-V4.1-Flash-1017

From DeepSeek’s official model card.

One call, OpenAI-compatible.

Use the OpenAI SDK: set our base URL and your key, and keep your code.

import osfrom openai import OpenAI client = OpenAI(base_url="https://api.peryn.ai/v1",api_key=os.environ["PERYN_API_KEY"],) stream = client.chat.completions.create(model="deepseek-v4.1-flash-1017",messages=[{"role": "user", "content": "Hello"}],stream=True,)for chunk in stream:if chunk.choices:print(chunk.choices[0].delta.content or "", end="")

Other models on Peryn: GLM-5.3-Flash · MiniMax M3.1 Flash · Hy4