DeepSeek R1 Pricing & Token Economics
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.
Normalized Token Pricing Matrix
Real-time input, completion, and cache rates normalized to $/1M tokens.
Cost for prompts, instructions, document retrieval, and system context sent into the model.
Cost for generated text, code, tool calls, and structured JSON responses returned by the model.
Massive 30% savings on repeated context, documents, and system instructions.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
DeepSeek R1 Monthly Bill Estimator
Estimated monthly costs across four standardized enterprise and developer workloads.
| Workload Scenario | Monthly Token Volume | Standard Bill | With Prompt Caching |
|---|---|---|---|
| Customer Support Chatbot 10M prompt tokens + 2.5M output tokens per month | 12.5M tokens (10M in / 2.5M out) | $10.38/mo | $9.32/mo -10% |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $21.45/mo | $18.30/mo -15% |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $62.25/mo | $55.95/mo -10% |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $124.50/mo | $111.90/mo -10% |
Need custom token inputs or prompt volumes?
Use our interactive multi-model token calculator to test exact prompt and completion sliders.
Architecture & Capabilities
Technical parameters, supported modalities, and optimal developer use cases.
🎯 Recommended Use Cases
Deep mathematical derivation, competitive coding, chain-of-thought logic
Supported Modalities
📐 Context & Output Limits
- Maximum Context Window: 163,840 tokens (164K)
- Maximum Output Length: 32,768 tokens
- Speed / Latency Tier: Deliberate / Thinking
- Official Provider: DeepSeek
Frequently Asked Questions
Everything you need to know about DeepSeek R1 API pricing and token calculations.
How much does DeepSeek R1 cost per 1M tokens?
DeepSeek R1 charges $0.50 per 1M input tokens and $2.15 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $0.912/1M tokens.
Does DeepSeek R1 support prompt caching?
Yes. Cached prompt reads are billed at $0.3500 per 1M tokens, saving you up to 30% on repeated context, RAG documents, and system instructions.
What is DeepSeek R1's maximum context window?
DeepSeek R1 supports up to 163,840 tokens (164K) in its context window, allowing you to ingest large files and multi-turn chat history with up to 32,768 tokens generated per response.
How does DeepSeek R1 compare to other models?
With a CostRatio rating of A+, DeepSeek R1 provides competitive token economics for reasoning & thinking tasks. Review the peer comparison table above to compare input and completion rates directly against alternative models.
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