What is DeepSeek

DeepSeek stands out because it has become a reference point for price-performance. Teams exploring DeepSeek are usually asking a practical question: can we get strong reasoning and coding output at materially lower API cost than the biggest frontier vendors?

DeepSeek is a newer entrant than many of the largest Western AI brands, but it rose quickly by becoming shorthand for strong reasoning performance at disruptive API prices. Its history matters because the company’s momentum has come less from consumer branding and more from changing the market conversation around price-performance for serious model use.

Core offerings

  • Chat and reasoning model options for general assistant and analytical workloads.
  • Developer-facing API access with public pricing.
  • A reputation for strong reasoning value relative to cost.

Pricing

DeepSeek uses peak and off-peak rates per million tokens. V4.1 Flash (deepseek-flash) costs US$0.003 cache hit, US$0.15 cache miss and US$0.60 output off-peak, or US$0.006, US$0.30 and US$1.20 during peak hours. V4 Pro (deepseek-v4-pro) costs US$0.022, US$0.66 and US$1.98 off-peak, or US$0.044, US$1.32 and US$3.96 at peak. Peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday; all other times are off-peak. Both support thinking and non-thinking modes, a one-million-token context window, up to 384,000 output tokens, JSON output, tool calls, Responses API and Anthropic API access. V4.1 Flash also supports vision. The older deepseek-v4-flash and deepseek-v4-flash-vision-exp aliases are still accepted but their former models are retired; requests route to V4.1 Flash at its current rates.

Model footprint

DeepSeek’s public pricing pages are comparatively simple, with core attention on chat and reasoning models rather than a sprawling consumer product catalogue. That simplicity is a strength for builders who care about predictable deployment decisions.

Why select DeepSeek

DeepSeek is compelling when cost matters, reasoning matters, and you are comfortable with a more focused platform. It is particularly attractive for experimentation, agent backends, coding assistants, and workloads where premium model prices have blocked broader rollout.

Official sources: DeepSeek API pricing.

Current models

DeepSeek’s current public pricing page is unusually clean and useful. It exposes live model versions, context windows, max output, thinking support, concurrency, and cache-hit pricing directly.

ModelContext / outputKnowledge / trainingPricing / token useSpeed / notes
DeepSeek-V4.1-Flash
deepseek-flash
1M context
384K max output
Thinking and non-thinking modes supported
Training data and cutoff: not publicly disclosed
Off-peak: US$0.15 cache miss / US$0.003 cache hit / US$0.60 output per 1M tokens; peak: US$0.30 / US$0.006 / US$1.20Vision, JSON, tool calls, Responses API, Anthropic API, prefix completion, and FIM support. Older V4 Flash aliases now route to this model
DeepSeek-V4-Pro
deepseek-v4-pro
1M context
384K max output
Thinking and non-thinking modes supported
Training data and cutoff: not publicly disclosed
Off-peak: US$0.66 cache miss / US$0.022 cache hit / US$1.98 output per 1M tokens; peak: US$1.32 / US$0.044 / US$3.96Higher-capability Pro tier with Responses API support and a lower concurrency ceiling than Flash