DeepSeek R1 is an open-source reasoning model that matches OpenAI o1 on math and coding benchmarks at roughly 1/20th the price. It makes frontier-level reasoning accessible to teams that previously couldn't afford o1.
Input Price
$0.55/1M
per 1M tokens
Output Price
$2.19/1M
per 1M tokens
Context Window
131K tokens
max tokens
ELO Score
1360
LMSYS Arena
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0006 | $0.0022 | $0.0014 |
| 10,000 tokens | $0.0055 | $0.0219 | $0.0137 |
| 100,000 tokens | $0.0550 | $0.2190 | $0.1370 |
| 1,000,000 tokens | $0.5500 | $2.1900 | $1.3700 |
Strengths
- ✓o1-level reasoning at 20x lower cost than OpenAI o1
- ✓Open source reasoning model
- ✓Chain-of-thought reasoning visible to users
- ✓Top-tier math and science performance
Weaknesses
- ✗Verbose — produces very long reasoning chains
- ✗Slower due to extended thinking
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Frequently Asked Questions
How much does DeepSeek R1 cost?
DeepSeek R1 costs $0.55/1M per 1M input tokens and $2.19/1M per 1M output tokens.
What is DeepSeek R1's context window?
DeepSeek R1 has a context window of 131K tokens, which means it can process up to 131,072 tokens in a single request.
Is DeepSeek R1 open source?
Yes, DeepSeek R1 is open source. The model weights are publicly available and can be self-hosted.
What is DeepSeek R1 best used for?
DeepSeek R1 is best suited for: reasoning, math, coding, research. o1-level reasoning at 20x lower cost than OpenAI o1.
What is DeepSeek R1's ELO score?
DeepSeek R1 has an ELO score of 1360 on the LMSYS Chatbot Arena leaderboard, placing it among top-tier models.