Flash-1017 official release benchmarksLive profile

DeepSeek

DeepSeek V4

DeepSeek V4.1 Flash-1017 updates reasoning, coding, agent, and vision performance on October 17, 2026. The deepseek-flash API model ID and pricing stay unchanged; V4 Pro-0813 remains separately available.

CodingMultimodalLong Context

Flash release

1017

Official October 17, 2026 update to V4.1 Flash.

Context

1M

V4.1 Flash supports text and image inputs with a one-million-token context window.

API model ID

deepseek-flash

The model ID and API pricing remain unchanged for this release.

Model Overview

DeepSeek V4.1 Flash-1017 and V4 Pro-0813; benchmark results are labeled by version.

Official Docs

Params

Pro 1.6T · V4.1 Flash 552B

Context

1M

Released

Flash: Oct 17 · Pro: Aug 13, 2026

DeepSeek V4.1 Flash-1017: October 17 release benchmarks

DeepSeek reports gains across reasoning, coding, agent tasks, and vision. This release table compares Flash-1017 with the September Flash release and four other models; the scores are publisher-reported, not an independent evaluation. The API model ID remains deepseek-flash and pricing is unchanged.

Six models across 11 benchmarks
BenchmarkDeepSeek-V4.1-Flash-1017DeepSeek-V4.1-Flash (2026-09-10)Kimi K3GLM-5.3GPT-5.6 SolClaude Opus 5.0
HLE (w/o tools)42.6 (44.0†)36.8 (39.1†)43.5Not reported (42.0†)44.556.3
Terminal-Bench 4.042.331.212.637.939.951.8
DeepSWE v1.177.074.267.566.973.074.0
ProgramBench29.120.317.519.023.037.0
NL2Repo-Bench68.265.458.058.056.875.3
Automation-Bench v1.0.660.554.846.748.845.850.3
Agents’ Last Exam35.431.827.628.526.728.6
Apex Bench v1.172.164.647.856.654.365.8
Chartography (w/tools)83.078.968.1Not reported79.984.0
BabyVision (w/tools)92.589.685.7Not reported88.994.1
ZeroBench-main (w/tools, Pass@5)51.049.041.0Not reported53.052.0

† HLE text-only subset, not the full test. GLM-5.3 has only a text-only HLE result in this source. Terminal-Bench 4.0 uses Claude Code; DeepSWE v1.1 uses Mini-SWE-V2. Chartography, BabyVision, and ZeroBench-main use tools; ZeroBench-main is Pass@5. Automation-Bench v1.0.6 and Apex Bench v1.1 retain their published versions. No new Pro-0813 or Terminal-Bench 2.1 result is supplied in this release table.

Source: DeepSeek Flash-1017 model card · October 17, 2026 · Official model card · Official changelog

Model overview

Written in a launch-style profile format

DeepSeek's October 17 model card compares Flash-1017 with the September V4.1 Flash release and four other models across 11 benchmarks. These are publisher-reported results, with the full table and evaluation notes shown above.

The release also reports shorter task runtimes and less output. Actual cost and latency depend on the task, effort, and harness; the announcement does not provide a universal speedup. DeepSeek recommends Harness 0.2.1-rc.1 or later for this update.

Model highlights

Key strengths and deployment profile

Reasoning and coding

The update includes HLE without tools, Terminal-Bench 4.0, DeepSWE v1.1, ProgramBench, and NL2Repo-Bench. Keep each benchmark version and harness attached to its scores.

Multimodal agents

V4.1 Flash supports text and image inputs. Chartography, BabyVision, and ZeroBench-main are evaluated with tools; ZeroBench-main uses Pass@5.

Developer experience

Existing deepseek-flash requests reach Flash-1017 without a model-ID or token-price change. Keep the current API configuration and update DeepSeek Harness to 0.2.1-rc.1 or later when using that client.

Separate model versions

The September Flash baseline remains a historical comparison. V4 Pro-0813 stays separately available, but the October 17 model card supplies no new Pro scores. Choose using results for your actual task and model version.

See what it can do

See what DeepSeek V4 can do

Coding assistants, repository tasks, and code review
Agent workflows combining text, screenshots, charts, and tool calls
Long-context tasks where output length and total task cost matter

Built for developers

Give developers more control

Use deepseek-flash for Flash-1017 and deepseek-v4-pro for Pro-0813; the dated release name is not a new API model ID.
Terminal-Bench 4.0 uses Claude Code; DeepSWE v1.1 uses Mini-SWE-V2. HLE text-only scores must remain separate from full-test scores.
The earlier Showcase examples and OpenClaw results are not reruns of Flash-1017.

Best For

Who should start with this model

Teams standardizing on the official DeepSeek V4 path before routing only a small slice of work to premium fallback models.
Independent developers who care about cost discipline and want clearly documented API access terms.
Buyers who want to start with DeepSeek and only expand into GPT, Claude, Gemini, or others when the use case demands it.

When To Choose It

When it belongs on your shortlist

When cost, attention, and practical developer usability matter more than defaulting to the most premium general-purpose option.
When you are building a content funnel around V4 traffic, side-by-side comparisons, and a direct sales handoff.
When DeepSeek is the first offer and broader multi-model access is the later upsell.

Current Coding Plan Inventory

Check whether a relevant access plan is in stock

If DeepSeek is already the right fit, move directly into the DeepSeek direct-access offer and use the Contact page to confirm delivery details and support scope.