DeepSeek R1
DeepSeek R1 is DeepSeek's reasoning-focused model designed for mathematical and logical problem-solving tasks, with a 64K token context window.
API Pricing
Cheapest on OpenRouter — 81% below avg| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.320 | $0.890 | 4/14/2026 | |
| $0.700 | $0.800 | 4/4/2026 | |
| $1.05 | $1.05 | 4/13/2026 | |
| $1.35 | $5.40 | 4/14/2026 | |
| $3.00 | $7.00 | 4/14/2026 | |
| $3.75 | $0.010 | 3/31/2026 |
Prices updated daily. Last check: 4/14/2026
Model Details
General
- Creator
- DeepSeek
- Family
- DeepSeek
- Tier
- Reasoning
- Context Window
- 64K
- Knowledge Cutoff
- Nov 2024
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- Yes
- Subtypes
- Chat Completion
Strengths & Limitations
- Open-source model with publicly available weights
- Specialized reasoning architecture optimized for mathematical and logical tasks
- 64,000 token context window supports extended problem-solving sequences
- November 2024 knowledge cutoff provides relatively current information
- Part of established DeepSeek model family with research backing
- Text-based chat completion interface for straightforward integration
- No tool calling or function execution capabilities
- Text-only modality without image or multimodal support
- Smaller context window compared to some frontier models
- Reasoning specialization may limit general conversational performance
- No structured output modes beyond standard text generation
Key Features
About DeepSeek R1
Common Use Cases
DeepSeek R1 is suited for applications requiring systematic reasoning and mathematical analysis. Its reasoning specialization makes it appropriate for educational platforms teaching mathematics and logic, research tools for academic problem-solving, and technical applications where step-by-step logical processing is essential. The model's open-source nature enables custom deployments for organizations needing on-premises reasoning capabilities, while its 64K context window supports extended mathematical proofs and multi-step analytical workflows that require maintaining context across lengthy problem-solving sequences.
Frequently Asked Questions
How much does DeepSeek R1 cost per million tokens?
DeepSeek R1 pricing varies by provider and deployment method. As an open-source model, you can also deploy it yourself. Check the pricing table above for current rates across all API providers.
What is DeepSeek R1 best used for?
DeepSeek R1 is optimized for mathematical reasoning, logical problem-solving, and multi-step analytical tasks. Its reasoning-focused architecture makes it particularly effective for educational applications, research problems, and technical scenarios requiring systematic logical processing rather than general conversation.
How does DeepSeek R1 compare to general-purpose models for reasoning tasks?
DeepSeek R1 is specifically architected for reasoning tasks, unlike general-purpose models that balance reasoning with conversational abilities. This specialization may provide advantages for mathematical and logical problems, though general-purpose models offer broader capabilities including tool calling and multimodal support that R1 lacks.