D
DEEPSEEK / deepseek-flash

DeepSeek V4.1 Flash

DeepSeek updated its API, website and app to DeepSeek-V4.1-Flash-1017 on October 17, 2026. The API identifier remains deepseek-flash and pricing is unchanged. We retain the profile and its URL: this is a revision of the existing model, not another duplicate model.

01 / SUMMARY

The essential

ORIENTATIONEfficient agents

Primary use stated or inferred cautiously from official documentation.

CONTEXT1,000,000 tokens

Maximum input capacity when published by the source.

EXIT384.000 tokens

Documented maximum generation limit.

ACCESSDeepSeek API · open weights

Verified availability channels.

MODEL TYPEText and reasoning

Primary functional family and verified specialties.

LICENSEMIT

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDdeepseek-flash
Model typeText and reasoning
Access modelPaid API · open weights
LicenseMIT
DeploymentHosted API · self-hosted infrastructure
Release10 SEP 2026
Knowledge cutoffNot published
EntranceText · Image
ExitText
Context window1,000,000 tokens
maximum output384.000 tokens
ReasoningModes with and without reasoning
Published toolsFeatures · Responses API · Chat prefix · FIM
Structured OutingsSupported
Batch processingNot published
Prompt cacheSupported
Fine-tuningOpen weights
Verified platformsDeepSeek API · Hugging Face
BEST SUITED FOR

Agents, coding, and open deployment at low cost.

WORTH MONITORING

DeepSeek-V4.1-Flash-1017 weights are available in the official repository under the MIT license. The October 17 results appear in both the API update and the checkpoint card: these are vendor measurements, not tests run by Inferama. GPQA and Terminal-Bench 2.1 retain their historical September 10 scores. The local release does not include a Jinja chat template: consult the official encoder and review its code before execution. Downloadable weights do not mean free inference.

03 / CAPABILITIES

What it can do

01

Orientation

Agents, coding, and open deployment at low cost.

02

Context

1.000.000 tokens · 384.000 tokens

03

Tools and integration

Features · Responses API · Chat prefix · FIM

04

Access

DeepSeek API · open weights

Input modalities
TextImage
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard input0,30 USD / 1 M tokens (peak)Standard API rate
Cached input0,006 USD / 1 M tokens (peak)Reading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard output1,20 USD / 1 M tokens (peak)May include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

Off-peak rates are half price; schedules are published in UTC.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

DeepSeek publishes twelve new results, reporting full HLE and its text-only subset separately. Terminal-Bench 4.0 uses Claude Code; DeepSWE v1.1 uses Mini-SWE-V2. Chartography, BabyVision and ZeroBench use tools; ZeroBench-main measures Pass@5. These are not evaluations run by Inferama or direct comparisons between different protocols.

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

DeepSeek-V4.1-Flash-1017

API, website, app and public checkpoint under MIT. Weight identifier: deepseek-ai/DeepSeek-V4.1-Flash-1017. The deepseek-flash alias and pricing remain unchanged.

DeepSeek V4.1 Flash

Original multimodal release. DeepSWE v1.1: 74.2; GPQA Diamond: 90.9; Terminal-Bench 2.1: 90.6. Do not mix with revision 1017.

ANALYSIS

Related analysis

07 / SOURCES

Traceability