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DeepSeek Pricing Explained (2026)

DeepSeek V3.2 at $0.27/$1.10, R1 at $0.55/$2.19, off-peak 50% off, free chat, and what to know about privacy + self-host.

Updated May 2026 · 6 min read

DeepSeek pricing in 2026 is the cheapest frontier-class API on the market. V3.2 sits at $0.27/$1.10 per 1M tokens; off-peak hours drop to $0.135/$0.55. R1 reasoning sits at $0.55/$2.19. Plus the consumer chat is free. Here’s the full breakdown.

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Consumer chat

  • chat.deepseek.com — free. V3.2 + R1 access. No account required for light use.

API pricing (per 1M tokens, USD)

  • DeepSeek V3.2 (chat): $0.27 input / $1.10 output. Cache miss; cache hit $0.027 (90% off cached).
  • DeepSeek V3.2 off-peak (UTC 16:30-00:30): $0.135 / $0.55. Half off.
  • DeepSeek R1 (reasoning): $0.55 / $2.19. Off-peak: $0.275 / $1.10.
  • R1 reasoner output: includes thinking tokens at output rate — budget for ~5x the visible answer length.

What you get

  • OpenAI-compatible SDK — drop-in replacement (base_url="https://api.deepseek.com").
  • Tool use, JSON mode, structured outputs.
  • 128k context window.
  • Open weights for self-host.

The cost story vs competitors

  • vs Claude Sonnet 4.6 ($3 / $15): ~10x cheaper.
  • vs GPT-5 ($2.50 / $10): ~9x cheaper.
  • vs Gemini 2.5 Pro ($1.25 / $5): ~5x cheaper.
  • R1 vs o-pro reasoning: ~30x cheaper.

Privacy realism

The DeepSeek cloud API routes through Chinese infrastructure. For most non-sensitive workloads this is fine; for regulated data (HIPAA, SOC 2 customers) most teams self-host the open weights instead. V3.2 is large (671B MoE) so a Hyperspace pod or rented cloud GPU is needed; smaller distilled versions run on commodity hardware.

When DeepSeek wins

  • High-volume API workloads where total cost matters.
  • Agentic loops at scale.
  • Embedding pre-processing pipelines.
  • Reasoning chains where R1’s thinking-token economics make it cheap to over-think.
  • Anyone willing to self-host the open weights for privacy.

When DeepSeek isn’t the right pick

  • The hardest 5% of SWE-bench tasks — Claude Opus opens a real lead.
  • 30+ step agents where reliability dominates — Claude / GPT-5 still meaningfully ahead.
  • Customer-facing English work where the marginal quality and tone calibration matter.

Compare: Claude vs DeepSeek, DeepSeek R1 vs Claude. Cost math: cost calculator.

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