DeepSeek Flash

DeepSeek V4.1 Flash, also known as DeepSeek Flash, is DeepSeek's a 552B-parameter MoE model built on a novel causal encoder-decoder architecture. It is designed to deliver stronger capabilities, faster inference, higher throughput and lower deployment costs. It natively supports multimodal visual understanding and offers flagship-level intelligence, while significantly reducing KV cache requirements, making it well-suited for high-throughput and cost-sensitive agent workloads.

byDeepSeekInput TypeOutput TypeContext Window1MMax Output384K

Providers

This model is available from multiple providers. Select one to see its pricing and sample code.

DeepSeekDefault

$0.15 / $0.6/ 1M tokens0.50× base price

Supported formatsOpenAI Chat CompletionsOpenAI ResponsesAnthropic Messages

Pricing

Transparent pay-as-you-go pricing by token usage — no subscriptions or hidden fees.

DeepSeek

deepseek/deepseek-flash

Prices forchange

Per 1M tokens

Input

Prompt and context tokens

$0.15

Output

Generated completion tokens

$0.6

Cache read

Reused or stored prompt context

$0.015

Code

Copy an example below to start calling this model in minutes.

API / request example

Sample Code & API

Create API Key

from openai import OpenAI

client = OpenAI(
    base_url="https://api.apipod.ai/v1",
    api_key="<YOUR_API_KEY>",
)

# Chat Completions
completion = client.chat.completions.create(
    model="deepseek-flash",
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?",
        }
    ],
)
print(completion.choices[0].message.content)