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

Billing rules

Your charge is determined by actual usage and the parameters selected for the request. The prices below stay in sync with this model's current configuration.

How charges are calculated

Total = input token cost + output token cost + cache cost (when applicable)

This page shows billing rules and rates. Final charges are based on actual usage and applicable request parameters after a successful request.

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)

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)