Writing

DeepSeek

DeepSeek · #3 most active of 26 in Writing

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Hangzhou lab whose V and R series models are released under permissive licences and undercut Western API pricing by an order of magnitude.

Current version

V3.2

Entry cost

Free chat, API from $0.28/M input

Changes / 30d

2

Capabilities

  • Reasoning mode
  • Open weights (MIT)
  • OpenAI-compatible API
  • Context caching
  • Function calling

Pricing

  • Chat

    Free

  • API input /M

    $0.28

  • API output /M

    $0.42

Entry price over time

Not enough pricing history yet — we start charting from the second observation.

Geek mode

Models under the hood

  • DeepSeek-V3.2

    DeepSeek

    disclosed
  • DeepSeek-R1

    DeepSeek

    disclosed

Context window

128K tokens

Public API

yes

Multi-model routing

no

Stack signals

  • Open weights
  • MoE architecture
  • OpenAI-compatible API

Shared model stack

Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.

green disclosed · amber inferred · grey unknown

Reported scale

Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.

  • App downloads

    125M

    downloads

    Third-party estimate

    Third-party install estimate.

    as of Apr 2025·Sensor Tower estimate ·inferred

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Change history

  • version

    DeepSeek V3.2 released with sparse attention and a cheaper long-context path

    V3.1V3.2

    source
  • pricing

    API input price cut by roughly half after the V3.2 efficiency work

    0.560.28

    source