DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is the smallest model in DeepSeek's new architecture family, a sparse mixture-of-experts model built for coding, reasoning, and agent workloads.

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input · usd / 1m tok

$0.30

output · usd / 1m tok

$1.20

context window

1.05mtokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $0.30
output: $1.20
cache read: $0.006

providers

Different companies host DeepSeek V4.1 Flash. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

Azure AI Foundry
DeepSeek
Fireworks

specifications

takes text and image in, gives text outdeepseek/deepseek-v4.1-flash

creatorDeepSeek
model typeText generation
context window1,048,576 tokens
maximum outputnot published
input
takes text and image in, gives text out
outputtext
tool callingnot verified
releasedsep 10, 2026
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="deepseek/deepseek-v4.1-flash",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="deepseek/deepseek-v4.1-flash",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

39.5#27 of 108 models on the gateway

Intelligence Index39.46
legal index (API)41.3
economics index (API)44.4
engineering index (API)39.3
intelligence index (API)39.5
strategy and ops index (API)51.7
finance and accounting index (API)45
healthcare and medical index (API)40.6

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.

compare DeepSeek V4.1 Flash with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

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frequently asked questions

What is DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash is the smallest model in DeepSeek's new architecture family, a sparse mixture-of-experts model built for coding, reasoning, and agent workloads. It is the first DeepSeek model on the Causal Encoder-Decoder design, adds native visual understanding, and sharply cuts KV-cache requirements for faster, cheaper agent runs.

How much does DeepSeek V4.1 Flash cost?

DeepSeek V4.1 Flash costs $0.30 per million input tokens and $1.20 per million output tokens through the Impossibl API. Cache reads cost $0.006 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash has a 1,048,576-token context window through the Impossibl API.

What inputs and outputs does DeepSeek V4.1 Flash support?

DeepSeek V4.1 Flash accepts text and image as input. DeepSeek V4.1 Flash returns text.

How do I use DeepSeek V4.1 Flash through an API?

DeepSeek V4.1 Flash is available through the Impossibl API. Use deepseek/deepseek-v4.1-flash as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was DeepSeek V4.1 Flash released?

DeepSeek released DeepSeek V4.1 Flash on September 10, 2026.

Creator release announcement ↗

this page describes DeepSeek V4.1 Flash as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

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