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DeepSeek

DeepSeek-V4.1-Flash

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

Content updated 16 days ago·DeepSeek-V4.1-Flash released 16 days ago

Pricing:Free + from $0.22/per 1M off-peak cache-miss input tokens
Categories:
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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

  • Consumer chat and API model availability are not documented as identical
  • Peak and off-peak rates complicate cost forecasting
  • Legacy alias routing can change behavior without an application code change
  • V4.1 Flash weights, size, and self-hosting terms are not published in the cited materials
  • 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.

The distinction between those surfaces matters. DeepSeek describes web and app conversation as free, but it does not publicly identify V4.1 Flash as the consumer chat model. The September 2026 announcement specifically makes DeepSeek-V4.1-Flash the current Flash API model under the deepseek-flash identifier.

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 is the current Flash API release as of September 10, 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 also announced that after 12:00 Beijing time on September 14, 2026, deepseek-v4-pro requests will route to V4.1 Flash until V4.1 Pro is released. That change can alter production behavior without a code change, so affected teams should test their critical prompts and tool loops in advance.

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. 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 DeepSeek API users planning migration from older V4 Flash or V4 Pro endpoints

FAQ

Is DeepSeek free?

DeepSeek describes its web and mobile chat as free. API usage is separate and billed by input and output tokens.

What is DeepSeek's current API model?

The current Flash API model is DeepSeek-V4.1-Flash under the model ID deepseek-flash. DeepSeek still lists a V4 Pro snapshot during the transition, but plans to route that ID to V4.1 Flash from September 14 until V4.1 Pro arrives.

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?

DeepSeek's official homepage promotes free access to its current flagship model, but the cited public pages do not name V4.1 Flash as the web or app model. The V4.1 announcement is explicitly an API release.

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

Current Version

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
  • •Migrate from retired V4 Flash aliases, and prepare for deepseek-v4-pro requests to route to V4.1 Flash from September 14 until V4.1 Pro launches
  • •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
  • •Run DeepSeek's current Pro API model with 1M context, 384K maximum output, tool calls, JSON output, Responses API, and Anthropic-compatible access
  • •Cut Pro API costs versus the April preview pricing to $0.435 per 1M cache-miss input tokens and $0.87 per 1M output tokens
  • •Treat this as a formal Pro model snapshot rather than a separate launch blog: DeepSeek lists the live model version as DeepSeek-V4-Pro-0813

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
  • •Integrate thinking directly into tool use with DeepSeek-V3.2, the first model to support tool-use in both thinking and non-thinking modes
  • •Deploy DeepSeek-V3.2 as the official successor to V3.2-Exp, now live across App, Web, and API with general availability
  • •Launch DeepSeek-V3.2-Speciale (API-only) alongside, pushing reasoning capabilities further for the most demanding research workloads

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 costs by up to 50% compared to V3.1-Terminus while maintaining virtually identical model output quality on most benchmarks
  • •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 stronger Code Agent and Search Agent behaviors with more reliable tool invocation for coding and multi-step web research workflows
  • •Tighten the August V3.1 release one month later, preparing the base for V3.2-Exp's sparse-attention experiments

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
  • •Trigger a global reaction in AI markets, influencing the open-weight and pricing strategies of OpenAI, Meta, and Anthropic in the months that followed

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
  • •Cut training cost to roughly $5.6M by combining MoE routing with FP8 mixed-precision training, dramatically undercutting Western frontier model economics
  • •Ship open weights for both base and chat variants with full tokenizer and inference code, setting a new bar for open-source frontier model transparency

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
  • •Launch DeepSeek LLM (7B and 67B dense base and chat variants) as DeepSeek's first public release, matching Llama 2 on general capabilities
  • •Publish full training details, tokenizer, and fine-tuned chat variants on Hugging Face under a permissive open-weight license—an early commitment to open-source AI

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