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DeepSeek

DeepSeek-V4.1-Flash-1017

Delivers open-weight V4 frontier models (Pro 1.6T / Flash 284B) with 1M context, MIT license, and OpenAI/Anthropic API compatibility.

Content updated ·DeepSeek-V4.1-Flash-1017 released 24 days ago

Pricing:Free + Premium
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DeepSeek sign-in page for the official web chat assistant

DeepSeek sign-in page for the official web chat assistant

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Pros & Cons

Pros

  • Free first-party web and mobile assistant
  • Low published Flash API token rates
  • One model ID for text, vision, reasoning, and agent workflows
  • Large context and maximum-output limits for complex jobs
  • Broad API compatibility across tool calls, JSON, Responses, and Anthropic-style access

Cons

  • Hosted chat/API access and self-hosted inference have different operational requirements
  • Peak and off-peak rates complicate cost forecasting
  • Legacy alias routing can change behavior without an application code change
  • DeepInfer’s public release does not include all components of DeepSeek’s online serving stack
  • Vision requests have multiple payload, dimension, and image-count limits

Overview

DeepSeek combines a free consumer AI assistant with a separately billed developer API. The official website links to browser chat, mobile apps, the API platform, documentation, and the company's model research.

DeepSeek’s October 17, 2026 announcement confirms that its website, app and API were updated to DeepSeek-V4.1-Flash-1017. The hosted API uses the deepseek-flash identifier; the V4.1 Flash model guide covers the model family separately from the self-hosted inference framework.

For developers, V4.1 Flash brings reasoning, coding, tool use, long context, and native image understanding into one API model. For everyday users, the browser and mobile apps remain the simplest way to try DeepSeek without managing tokens or API credentials.

Key Features

  • Free consumer chat - DeepSeek promotes free access to its current flagship model through the official web and mobile apps.
  • Unified text and vision API - deepseek-flash accepts text and image input, replacing separate earlier Flash and Vision experimental endpoints.
  • One-million-token context - The current Flash API lists a 1M context window and a maximum output of 384K tokens.
  • Thinking and non-thinking modes - Developers can choose reasoning behavior based on quality, latency, and cost requirements.
  • Agent integration support - The API supports tool calls, JSON output, the Responses API, and Anthropic-compatible access.
  • Multiple image input methods - Applications can send supported images with base64 data, external URLs, or Files API IDs.
  • Time-based API pricing - Flash rates are lower outside two weekday peak windows, making scheduling relevant for flexible batch workloads.

Current API Model

DeepSeek-V4.1-Flash-1017 is the current Flash API snapshot, announced on October 17, 2026. DeepSeek describes it as the first and smallest released model in a new architecture family, with native multimodal understanding and a design intended to improve inference speed, throughput, and future scaling.

The canonical model ID is deepseek-flash. Legacy IDs deepseek-v4-flash and deepseek-v4-flash-vision-exp temporarily route to V4.1 Flash and use its pricing. Developers should migrate configuration rather than rely on those aliases indefinitely.

DeepSeek’s updated changelog says V4 Pro API service continues after September 14, 2026. The current pricing page lists deepseek-v4-pro separately; it should not be described as an automatic route to Flash.

Self-hosting with DeepInfer

DeepInfer is DeepSeek’s open-source inference framework, distinct from its chat app, hosted API and downloadable model weights. Its current supported model is V4.1 Flash, and the offline example defaults to the officially available DeepSeek-V4.1-Flash-1017 checkpoint.

The framework currently targets NVIDIA SM100 GPUs or Huawei Ascend 950 NPUs. The open-source release provides offline inference, not a complete production serving stack. According to DeepInfer's official README, a complete inference service additionally requires a KV cache system, VE/Prefill/Decode disaggregation, and load balancing across prefill and decode data-parallel replicas. See the DeepInfer guide for selection criteria and the official requirements before planning self-hosting.

Vision Support

The deepseek-flash API supports JPEG, PNG, GIF, and WebP input through Chat Completions and Responses. Vision is for understanding image content, not generating images.

Developers can choose low, high, original, or auto detail. Documented limits include up to 600 images per request, 32 MiB per inline or URL image, and 64 MiB for a Files API image. Total request size, total image payload, image dimensions, and large image counts add further constraints.

Pricing & Plans

DeepSeek has two distinct pricing layers: free consumer access and metered API use.

Option Current price Best fit
Web and mobile chat Free access Individuals using the official assistant directly
Flash API cache-hit input $0.003 off-peak / $0.006 peak per 1M tokens Repeated prompt prefixes and cached context
Flash API cache-miss input $0.15 off-peak / $0.30 peak per 1M tokens New prompts, documents, images, and uncached context
Flash API output $0.60 off-peak / $1.20 peak per 1M tokens Generated answers, code, reasoning, and tool plans

Peak pricing applies from 01:00-04:00 UTC and 06:00-10:00 UTC on weekdays, excluding Chinese public holidays. The API documentation lists 2,500 concurrency for Flash. Actual cost depends on cache behavior, output length, image tokens, reasoning settings, and when requests run.

Best For

  • Individuals who want a free general-purpose AI assistant in a browser or mobile app
  • Developers building low-cost reasoning, coding, and tool-using applications
  • Teams that need text and image understanding behind one model ID
  • Batch workloads that can shift API traffic to off-peak windows
  • Existing API users updating legacy V4 Flash aliases to deepseek-flash, or independently evaluating a switch from the still-supported deepseek-v4-pro API

FAQ

Is DeepSeek free?

DeepSeek describes its web and mobile chat as free. Hosted model inference is billed by input and output tokens, while the separate Search and Fetch APIs are priced per successful request, subject to the temporary billing exceptions documented by DeepSeek.

What is DeepSeek's current API model?

The current Flash API snapshot is DeepSeek-V4.1-Flash-1017 under the model ID deepseek-flash. V4 Pro remains separately listed in the current API pricing table.

Does DeepSeek support image input?

Yes. The current Flash API supports JPEG, PNG, GIF, and WebP images for visual understanding through Chat Completions and Responses.

Does the web chat use V4.1 Flash?

Yes. DeepSeek’s October 17, 2026 release announcement explicitly says its website, app and API were updated to DeepSeek-V4.1-Flash-1017.

How much does the DeepSeek API cost?

For V4.1 Flash, off-peak rates start at $0.15 per million cache-miss input tokens and $0.60 per million output tokens. Weekday peak rates are twice those amounts, while cache-hit input costs less.

Which API model ID should new integrations use?

Use deepseek-flash. Older Flash identifiers are only temporary compatibility aliases.

Sources

Version History

DeepSeek-V4.1-Flash-1017

Current Version

Released on October 17, 2026

View Update
+What's new
3 updates
  • •Evaluate stronger coding and agent results on the 1017 snapshot, now served through deepseek-flash; DeepSWE v1.1 rises from 74.2 to 77.0 in official tests
  • •Add public Search/Fetch APIs; budget for Harness, Claude Code and Codex server-side retrieval billing from November 1, 2026, at 00:00 Beijing time
  • •Use the official MIT-licensed 1017 weights for deployment evaluation, and update DeepSeek Harness to 0.2.1-rc.1 or later for the recommended integration

DeepSeek-V4.1-Flash

Released on September 10, 2026

View Update
+What's new
3 updates
  • •Use DeepSeek's new architecture for text, native image understanding, reasoning, coding, and agent workflows through the unified deepseek-flash API model
  • •Follow the September 10 notice announcing Flash alias migration and a September 14 Pro transition; check current API docs for the live Pro model mapping
  • •Reduce API spend with off-peak prices from $0.15 per million cache-miss input tokens and $0.60 per million output tokens, with peak rates at twice those levels

DeepSeek-V4-Flash-Vision-Exp

Released on August 21, 2026

+What's new
3 updates
  • •Add native image input to DeepSeek's V4 Flash line for screenshot, chart, document-image, and visual agent workflows through the API
  • •Keep V4 Flash pricing and 1M context while billing images as input tokens, with each image capped at 384 tokens after conversion
  • •Use Chat Completions, Messages, Responses API, base64 images, external URLs, or Files API file IDs in experimental multimodal workflows

DeepSeek-V4-Pro-0813

Released on August 13, 2026

View Update
+What's new
3 updates
  • •Build stronger coding and tool-using agents with the August V4-Pro GA release, including adjustable reasoning effort and native Responses API integration for Codex workflows
  • •Plan for peak/off-peak Pro pricing announced with the August 13 release, effective August 16 at 16:00 UTC; off-peak rates are half of peak rates
  • •Access the August 13 DeepSeek-V4-Pro-0813 GA snapshot on the app, website, or API using deepseek-v4-pro; DeepSeek published a separate official release announcement

DeepSeek-V4-Flash-0731 Public Beta

Released on July 31, 2026

View Update
+What's new
3 updates
  • •Use the formal public-beta DeepSeek-V4-Flash API through the same deepseek-v4-flash model name with no request-format change
  • •Evaluate DeepSeek-reported Code Agent scores across Terminal Bench 2.1, NL2Repo, Cybergym, DeepSWE, Toolathlon, and DSBench; no Flash Preview baseline is disclosed
  • •Build Codex-style agents with native Responses API support while V4-Pro, DeepSeek APP, and DeepSeek WEB models remain unchanged for now

DeepSeek-V4 Preview

Released on April 24, 2026

View Update
+What's new
3 updates
  • •Run million-token coding, reasoning, and agent workflows on DeepSeek-V4-Pro (1.6T/49B active MoE) or faster V4-Flash (284B/13B active MoE)
  • •Use V4-Flash at $0.14/M cache-miss input and $0.28/M output, or V4-Pro at $1.74/M cache-miss input and $3.48/M output; open weights are MIT licensed
  • •Compare against frontier models with V4-Pro-Max scoring 80.6% on SWE Verified, 67.9 on Terminal Bench 2.0, and leading current open models on knowledge and reasoning

DeepSeek-V3.2

Released on December 1, 2025

+What's new
3 updates
  • •Build agents that reason between tool calls with DeepSeek-V3.2, DeepSeek's first model to support tool use in both thinking and non-thinking modes for multi-step tasks
  • •Deploy DeepSeek-V3.2 as the official successor to V3.2-Exp, now live across App, Web, and API with general availability
  • •Evaluate V3.2-Speciale through its temporary reasoning API without tool calls, available at launch until December 15, 2025, at 15:59 UTC

DeepSeek-V3.2-Exp

Released on September 29, 2025

+What's new
3 updates
  • •Explore DeepSeek Sparse Attention (DSA) for the first time, delivering fine-grained sparse attention that dramatically improves long-context training and inference efficiency
  • •Cut API prices by 50% or more versus V3.1-Terminus while preserving comparable benchmark performance, and evaluate sparse attention on long-context workloads
  • •Validate architectural optimizations for long-context scenarios on open weights before rolling DSA into the December V3.2 general release

DeepSeek-V3.1-Terminus

Released on September 22, 2025

+What's new
3 updates
  • •Get cleaner language consistency across extended conversations, reducing mid-response switching between English and Chinese that appeared in earlier V3.1 output
  • •Use optimized Code Agent and Search Agent behavior for software development and search research; DeepSeek reports agent performance improvements beyond its August V3.1 release
  • •Use the updated search-agent template and tool set supplied with V3.1-Terminus, while retaining the underlying V3 model structure for local inference

DeepSeek-R1

Released on January 20, 2025

+What's new
3 updates
  • •Solve advanced reasoning tasks on math, science, and coding with DeepSeek-R1's reinforcement-learning approach, rivaling OpenAI o1 at a fraction of the cost
  • •Score 79.8% pass@1 on AIME 2024 and 97.3% on MATH-500 while running as open weights under MIT license—rare for frontier reasoning models at the time
  • •Run DeepSeek-R1 locally or try six distilled models from 1.5B to 70B parameters, choosing smaller open checkpoints when the full 671B-parameter model is impractical

DeepSeek-V3

Released on December 26, 2024

+What's new
3 updates
  • •Launch DeepSeek-V3 as a 671B-parameter MoE model with 37B activated per forward pass and 128K context, outperforming most open models on coding and math
  • •Assess the reported $5.576M as estimated H800 GPU rental cost for DeepSeek-V3's official training only, excluding earlier research, experiments, and wider development expenses
  • •Download V3 Base and Chat weights with tokenizer and inference code; commercial use is permitted under DeepSeek's Model License, while the code repository uses MIT

DeepSeek-V2

Released on May 6, 2024

+What's new
3 updates
  • •Release DeepSeek-V2 with a 236B-parameter MoE architecture and 21B activated per token, delivering stronger performance at lower inference cost than dense peers
  • •Cut API pricing aggressively—input at roughly 1/100 of GPT-4 at the time—and launch DeepSeek-Coder V2 one month later for dedicated coding workloads
  • •Establish the Mixture-of-Experts plus low-price playbook that defines DeepSeek's strategy through the V3, R1, and V4 generations

DeepSeek LLM

Released on November 29, 2023

+What's new
2 updates
  • •Use DeepSeek LLM in 7B and 67B base and chat variants for general-purpose language tasks, with vendor benchmarks comparing the 67B model against Llama 2
  • •Download DeepSeek LLM base and chat checkpoints with tokenizer and training details; commercial use is permitted under the DeepSeek Model License, while code uses MIT

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